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REVIEW article

Front. Psychol., 04 December 2017
Sec. Emotion Science

Emerging Directions in Emotional Episodic Memory

  • 1Department of Psychology, University of Illinois at Urbana–Champaign, Champaign, IL, United States
  • 2Neuroscience Program, University of Illinois at Urbana–Champaign, Champaign, IL, United States
  • 3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Champaign, IL, United States
  • 4Department of Psychology, University of Potsdam, Potsdam, Germany
  • 5Department of Cognitive and Behavioral Sciences, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto, Japan

Building upon the existing literature on emotional memory, the present review examines emerging evidence from brain imaging investigations regarding four research directions: (1) Social Emotional Memory, (2) The Role of Emotion Regulation in the Impact of Emotion on Memory, (3) The Impact of Emotion on Associative or Relational Memory, and (4) The Role of Individual Differences in Emotional Memory. Across these four domains, available evidence demonstrates that emotion- and memory-related medial temporal lobe brain regions (amygdala and hippocampus, respectively), together with prefrontal cortical regions, play a pivotal role during both encoding and retrieval of emotional episodic memories. This evidence sheds light on the neural mechanisms of emotional memories in healthy functioning, and has important implications for understanding clinical conditions that are associated with negative affective biases in encoding and retrieving emotional memories.

Introduction

Research using functional brain imaging techniques in humans has established that the impact of emotion on cognition is subserved by complex interactions of functional networks and systems involved in various processes, which include basic emotion processing, perception, memory, and cognitive control (reviewed in Phelps, 2004; Phelps and LeDoux, 2005; Dolcos and Denkova, 2008; Dolcos et al., 2011, 2012, 2013; Murty et al., 2011; Murray et al., 2013; Dolcos and Denkova, 2015). Building upon the extant literature, the present review focuses on evidence regarding the following four emerging research directions in the field, regarding the impact of emotion on episodic memory: (1) Social Emotional Memory, (2) The Role of emotion regulation in the Impact of Emotion on Memory, (3) The Impact of Emotion on Associative or Relational Memory, and (4) The Role of Individual Differences in Emotional Memory. This review focuses on evidence identified from functional neuroimaging studies in healthy humans investigating the role of the amygdala (AMY) and its interaction with memory-related medial temporal lobe (MTL) brain regions, as well as the role of other brain regions (e.g., prefrontal cortex, PFC), during both encoding and retrieval of long-term emotional episodic memories1. Following a brief review of basic evidence concerning the neural mechanisms of emotional memory in humans, we will discuss in detail new evidence from the literature circumscribed by the four emerging topics mentioned above. We will end this review with a brief presentation of open issues to be clarified in future investigations.

Neural Correlates of Emotional Episodic Memory: Basic Findings

Previous research has investigated the beneficial impact of emotion on episodic memory at various stages, from the initial encoding and early consolidation to subsequent retrieval of memory representations (reviewed in LaBar and Cabeza, 2006; Dolcos et al., 2012). This research typically considers two orthogonal dimensions of basic emotional properties, arousal and valence (Russell, 1980; Lang et al., 1993). In addition, to minimize possible confounds related to general perceptual processing and to isolate memory-related neural mechanisms, brain imaging studies of emotional episodic memory typically calculate the so-called subsequent memory effect – that is, differential brain activity associated with remembered vs. forgotten items – which is also called the Dm effect (difference due to memory) (Paller and Wagner, 2002; Prince et al., 2005; Shafer et al., 2011; Dolcos et al., 2012, 2017; Dolcos and Denkova, 2014). In general, current research mainly highlights the role of two mechanisms involved in the enhancing effect of emotion on episodic memory – (1) MTL-based [involving the AMY and memory-related MTL regions, such as the hippocampus (HC)] and (2) non-MTL-based mechanisms, the latter of which typically involves the PFC, among other regions (e.g., parietal cortex) (LaBar and Cabeza, 2006; Dolcos et al., 2012). The MTL mechanism contributes to the memory-enhancing effect of emotion through direct/bottom-up neurohormonal interactions between the AMY and memory-related MTL regions, during encoding (e.g., Dolcos et al., 2004b; Kensinger and Corkin, 2004; Kensinger and Schacter, 2006a; Sergerie et al., 2006; Ritchey et al., 2008), consolidation (McGaugh, 2004; Ritchey et al., 2008; see also LeDoux, 2007), and retrieval (Dolcos et al., 2005; Kensinger and Schacter, 2005) of emotional memories. The non-MTL mechanism contributes to the memory-enhancing effect of emotion through indirect/top-down interactions, by enhancing executive, attentional, and semantic processes (LaBar and Cabeza, 2006; Dolcos and Denkova, 2008).

Emotional Memory Encoding

Previous neuroimaging studies have identified the critical role of the interaction between the AMY and the memory-related MTL brain areas, such as the HC and associated parahippocampal cortical regions, in successful encoding of emotionally arousing information (e.g., Hamann et al., 1999; Canli et al., 2000; Kilpatrick and Cahill, 2003; Dolcos et al., 2004b; Kensinger and Corkin, 2004; Richardson et al., 2004; Kensinger and Schacter, 2006a; Sergerie et al., 2006; Ritchey et al., 2008; see also Adolphs et al., 1997, 2000; Strange and Dolan, 2004 for related evidence from lesion/pharmacological studies). This research also showed that this within-MTL functional interaction is also important for the persistence of emotional memories over time (Ritchey et al., 2008). More recently, it has been shown that encoding of emotionally arousing stimuli over an extended period (>20 min) also induces a sustained arousal-related brain state, which overall contributes to greater recollection of unrelated neutral items encoded minutes following the initial encoding of emotional ones (Tambini et al., 2017). This suggests that transient exposure to emotional arousal can also create persistent “carry-over” effects, resulting in similar memory-enhancing effects for subsequently encountered neutral items (see also Lewis et al., 2005; Henckens et al., 2009; Fitzgerald et al., 2011; Joëls et al., 2011; Hermans et al., 2014).

Whereas AMY-MTL mechanisms are modulated primarily by arousal, the involvement of the PFC in emotional memory encoding seems to be influenced by valence (Dolcos et al., 2004a; Kensinger, 2004; Kensinger and Schacter, 2006b). For instance, there is evidence that AMY-HC functional coupling tends to be enhanced during encoding of negative stimuli, whereas PFC-HC coupling is stronger for encoding of positive stimuli (Ritchey et al., 2011; see also Mickley Steinmetz et al., 2010). In addition, there is also evidence showing that successful encoding of positive stimuli is associated with activation in frontal and parietal regions, whereas that of negative stimuli is associated with activation in temporal and occipital regions (Kensinger and Schacter, 2008; Mickley Steinmetz and Kensinger, 2009). This evidence lends support to other studies showing that encoding of positive information is related to activity in specific regions within the PFC (Dolcos et al., 2004a; Botzung et al., 2010a), likely due to increased processing requiring more cognitive resources (Poldrack et al., 1999; D’Esposito et al., 2000; Anderson et al., 2004), whereas encoding of negative information is related to temporal and occipital areas (Mickley and Kensinger, 2008), likely due to enhanced sensorial processing (Vuilleumier et al., 2004).

Emotional Memory Retrieval

Emotional memory retrieval has been mainly studied using two types of settings. On the one hand, laboratory micro-events, such as a series of words or pictures, are encoded in laboratory settings and retrieved at relatively shorter intervals following encoding (e.g., from minutes to months). On the other hand, autobiographical events, referring to episodes from one’s personal past, are encoded in everyday life and may be retrieved after much longer intervals (e.g., years, decades). Similar to emotional encoding, previous studies provided evidence showing that successful emotional retrieval of laboratory micro-events involves the AMY-MTL mechanisms (Sharot et al., 2004; Dolcos et al., 2005; Kensinger and Schacter, 2005; Sergerie et al., 2006; see also Buchanan, 2007). The AMY also seems to be involved in successful retrieval of emotionally arousing and personally relevant autobiographical memories (AMs), following shorter retention intervals (Botzung et al., 2010b; see also Sharot et al., 2007a; Muscatell et al., 2010). In addition, AMY’s engagement during retrieval of more remote AMs seems to be dependent on task instructions associated with different levels of effortful processing (Smith et al., 2006), which may account for inconsistent findings regarding the AMY involvement in emotional AM retrieval (e.g., Markowitsch et al., 2000; Vandekerckhove et al., 2005). Because the level of effortful processing is increased when remembering temporally dispersed past events, this could lead to diversion of attentional resources from the emotional value associated with recollection of such events (Phan et al., 2002). This idea has been supported by evidence from a recent study in our group showing that attentional focus on emotional details (as opposed to non-emotional contextual details) during recollection of emotional AMs was associated with increased activity in the left AMY (Denkova et al., 2013b; see also Lieberman et al., 2007; Shafer et al., 2012 for similar effects of task goals and demands). Also similar to the evidence from encoding, AMY-MTL interactions seem to play a critical role in emotional retrieval, suggesting that the AMY and the memory-related MTL regions constitute a synergistic mechanism in which emotion and recollection enhance each other (Dolcos et al., 2005; Greenberg et al., 2005).

Importantly, retrieval-related functional interaction within the MTL also seems to be influenced by the PFC involvement. For instance, both increased AMY-HC connectivity and increased medial PFC activity have been observed during emotional memory retrieval (Smith et al., 2006). Moreover, the medial PFC also modulates AMY and HC activity during retrieval of emotional information, which suggests that activity in these regions can be modulated by task goals (Cunningham et al., 2008). This research also points the involvement of top-down processes linked to emotional memory retrieval, subserved by the medial PFC (see also Denkova et al., 2015). Finally, studies of memory retrieval for emotional laboratory (Maratos et al., 2001; Smith et al., 2004b, 2006; Erk et al., 2005) and autobiographical (Markowitsch et al., 2003; Piefke et al., 2003; Botzung et al., 2010b) events have also identified the involvement of PFC regions linked to processing of emotional valence. In particular, increased medial and orbital PFC activity was identified during retrieval of positive contextual information (Erk et al., 2005) and of positive AMs (Markowitsch et al., 2003; Piefke et al., 2003). In addition, increased activity in the lateral PFC was associated with recollection of positive (but not negative) AMs while focusing on emotional details compared to non-emotional ones (Denkova et al., 2013a). The medial orbital PFC has been associated with affective valuation, reward-related processing, and self-referential processing (Heinzel and Northoff, 2009; Roy et al., 2012; Delgado et al., 2016), whereas the lateral PFC, despite the functional heterogeneity of this region (e.g., Petrides and Pandya, 2002), has also been linked to the subjective experience of emotion (Barrett et al., 2007; Wager et al., 2008). Taken together, these findings suggest that the involvement of specific medial/orbital and lateral PFC regions during retrieval of positive emotional information may reflect processing of self-relevant positive/rewarding experience (see also Tsukiura and Cabeza, 2008).

In sum, the evidence discussed above supports the notion that the memory-enhancing effect of emotion during encoding and retrieval is linked to increased activity in and interaction between MTL and non-MTL areas, involved in emotion, mnemonic, and other types of processing. While the MTL-based memory mechanism is relatively more involved in arousal-dependent effects, valence-related effects are linked to connectivity of these regions within and outside the MTL. Regarding the role of non-MTL regions, involving the PFC and other cortical areas, available evidence suggests that its involvement during encoding and retrieval of emotional memories is relatively more sensitive to processing of valence and reflects higher order processes (e.g., semantic and working memory, attention, cognitive control, and self-referential processing).

Emerging Directions in Emotional Episodic Memory

Social Emotional Memory

Navigation of the complex social world requires knowledge acquired through previous social interactions to guide our adaptive behavior in various situations (Spreng and Mar, 2012; Tsukiura, 2012; Ciaramelli et al., 2013; Spreng and Andrews-Hanna, 2015). Thus, elucidating the complex interaction between emotion and social cognition is important, because of its implications for understanding the mechanisms underlying emotional memory for more ecologically valid situations than typical laboratory tasks. The relation between memory and social cognition has been previously identified (reviewed in Laurita and Spreng, 2017). For instance, there is evidence that trait empathy is positively associated with enhanced recognition memory performance in healthy individuals (Wagner et al., 2015), and is significantly reduced in patients with hippocampal amnesia showing declarative memory impairments (Beadle et al., 2013). These findings suggest an important link between long-term memory and social behavior, possibly mediated by healthy hippocampal functioning. Moreover, recent neuroimaging evidence points to the existence of a network of brain regions subserving memory processes for stimuli with social relevance, such as people’s faces and impressions formed based on them (e.g., Gilron and Gutchess, 2012; Tsukiura, 2012).

The extant evidence suggests that processing of stimuli with increased social relevance engages more effortful elaboration, and that memory for such stimuli is enhanced only when sufficient processing resources are available (Sakaki et al., 2012). More specifically, whereas biologically emotional stimuli are processed relatively more automatically by the involvement of and interaction between the AMY and the visual cortex, memory for socially emotional stimuli may also depend on more elaborative processes involving the interaction between the AMY and the medial PFC (Sakaki et al., 2012). Consistent with this idea, other investigations of social emotional memory have highlighted the involvement of the AMY and the medial/orbital PFC in a range of complex social cognitive functions, including detecting relevant social cues in the external environment, monitoring and interpreting internal emotional reactions, or processing subjective valuation of stimuli (Somerville et al., 2006; Harvey et al., 2007; Botzung et al., 2010a; Gilron and Gutchess, 2012; Tsukiura, 2012; Yaoi et al., 2015).

Encoding of Social Emotional Memories

Available evidence suggests that the AMY is involved not only in successful encoding of basic emotional stimuli, but also in that of stimuli with social and personal relevance (Harvey et al., 2007; Kleinhans et al., 2007; Botzung et al., 2010a; Tsukiura, 2012; see also Adolphs, 2010; Cunningham and Brosch, 2012). For instance, among a sample of dedicated basketball fans, AMY activity was preferentially involved in successful encoding of highly emotional memories with personal significance, especially those regarding positively valenced plays (e.g., a player from the fan’s team making a shot; Botzung et al., 2010a). Interestingly, increased activity in the AMY was also identified during imagination of positive future events compared to negative ones (Sharot et al., 2007b; Sharot, 2011). This evidence suggests that basketball fans may be more likely to consider positive plays as more personally significant than negative ones, and thus this enhanced self-relevance could lead to increased AMY activity linked to encoding of positive personal events (but see Northoff et al., 2009). Moreover, there is also evidence suggesting that the AMY is involved in encoding social information (e.g., faces, impressions), regardless of its valence (Said et al., 2009; Schiller et al., 2009; Vrtička et al., 2012). Because of its intrinsic motivational value and importance for survival, it is possible that social relevance in the environment is detected by the AMY, irrespective of basic emotional properties, such as valence and arousal (Harvey et al., 2007; Vrtička et al., 2012). These findings are consistent with evidence identifying a more general involvement of the AMY in social cognition and behavior, in tracking the subjective significance or relevance in the environment based on the current goals (Adolphs, 2010; Cunningham and Brosch, 2012).

Besides the AMY, the involvement of medial/orbital PFC regions has also been implicated in encoding social relevance (Harvey et al., 2007; Vrtička et al., 2012; Gutchess et al., 2015; see also Meyer and Lieberman, 2012; Meyer et al., 2015). For example, increased activity in the medial PFC was related to enhanced memory for the information encoded with reference to oneself – i.e., the self-reference effect (Macrae et al., 2004; Yaoi et al., 2015) – and also to encoding of impressions of other people based on face-behavior associations (Mitchell et al., 2004; Gilron and Gutchess, 2012; Cassidy et al., 2013). In addition, activity in the medial orbitofrontal cortex (OFC) was related to encoding of faces signaling positive social cues (Tsukiura and Cabeza, 2008, 2011a,b). These findings are consistent with the role of medial PFC regions in representations of one’s own and others’ minds (Northoff et al., 2006; Wagner et al., 2012), as well as in encoding and integration of the subjective value of stimuli (Delgado et al., 2016). Moreover, increased activity in the medial OFC, along with its increased functional connectivity with the HC, have been observed during successful encoding of socially rewarding stimuli (i.e., smiling and attractive faces) (Tsukiura and Cabeza, 2008, 2011a). Conversely, encoding of socially negative stimuli (e.g., untrustworthy or unattractive faces) was mediated by increased activity in and connectivity between the Insula and the HC (see also Botzung et al., 2010a; Tsukiura et al., 2013). Finally, activity in the anterior temporal lobe (ATL) structures along with the ATL connectivity with the AMY, MTL, and medial PFC regions have been implicated in social emotional memory encoding, with the ATL playing a role in representing and storing person identity information (Tsukiura et al., 2010; Olson et al., 2013; Collins and Olson, 2014; Spreng and Andrews-Hanna, 2015).

Retrieval of Social Emotional Memories

Similar to the evidence regarding encoding, retrieval of social emotional memories has been linked to the involvement of the AMY, HC, and PFC. Increased AMY activity was associated with retrieval of faces that had previously been encoded with emotional descriptions of behaviors (Somerville et al., 2006), and with social fairness learned in the context of an economic game (Singer et al., 2004). Furthermore, increased activity in, and interactions between, the AMY and the HC have been associated with false recollection of episodes resulting from conformity to others’ behavior (Edelson et al., 2011), thus suggesting that social interaction could lead to long-lasting memory alterations through the engagement of AMY-HC mechanisms. Regarding the PFC involvement, the right medial PFC seems to mediate retrieval of information related to social contexts, while the left medial PFC seems to underlie retrieval of self-generated information (Mano et al., 2011), thus suggesting lateralization of social vs. self-referential processing during episodic memory retrieval within the right and left mPFC, respectively. Finally, also similar to encoding, increased activity in the ATL and its increased functional connectivity with the HC have been linked to retrieval of person identity information (Tsukiura et al., 2008, 2011; Collins and Olson, 2014).

Functional Neural Systems and Networks in Social Emotional Memories

The available evidence reviewed so far in this section suggests that encoding and retrieval of social information are associated with the involvement of brain regions typically implicated in basic emotion processing, social cognition, and memory. In integrating the differential contributions of these regions to the mechanisms underlying social emotional memory, Tsukiura (2012) has recently posited that the effect of emotional information on memory for faces may be mediated by interactions between affective (AMY, medial OFC, and Insula) and memory [HC, fusiform face area (FFA)] systems (Figure 1). In particular, the AMY detects general emotional properties of the faces, and interacts with the medial OFC and the Insula to process positive and negative signals from them, respectively. These regions of the affective system then modulate activity in the HC and the FFA, which have previously been implicated in encoding and retrieval of faces in general (Prince et al., 2009), to enhance memory for faces with affective information (Tsukiura, 2012). This framework is consistent with the notion that emotional memory processes are subserved both by bottom-up (e.g., AMY-HC) and top-down (e.g., MTL-PFC) mechanisms (LaBar and Cabeza, 2006; Dolcos et al., 2012), and also with an emerging account that the AMY serves as a functional hub across large-scale functional networks involved in various facets of social cognition and behavior (Bickart et al., 2014).

FIGURE 1
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FIGURE 1. A hypothetical model of the neural mechanisms underlying the effect of face-based affective signals on memory for faces. AMY, amygdala; OFC, orbitofrontal cortex; HC, hippocampus; FFA, fusiform face area. From Tsukiura (2012), with permission.

Moreover, evidence from recent studies examining large-scale functional networks of the brain suggests that complex processes involved in social emotional memory may be subserved by contributions from a network of regions whose activity represents a “default state” of the brain. These studies identified substantial spatial overlap between regions typically activated in tasks involving emotion processing, social cognition, and episodic memory, and those consistently activated when individuals are at rest – i.e., the default-mode network (DMN) (Schilbach et al., 2012; Spreng and Mar, 2012; Li et al., 2014). For instance, a recent meta-analysis identified the common involvement of the cortical midline structures [i.e., the dorsal subregion of the medial PFC (dmPFC) and precuneus] across studies examining emotion processing, social cognition, and the DMN, thus suggesting that introspective processes may be a common denominator across the three domains (Schilbach et al., 2012). Furthermore, extending this evidence to the memory domain, a recent study revealed that successful encoding of others’ faces in a self-referential manner (i.e., by imagining a potential friendship) was associated not only with increased activity in the (d)mPFC, but also with increased encoding-related functional connectivity between the cortical midline structures (i.e., the mPFC and precuneus) and HC (Yamawaki et al., 2017). Importantly, the dmPFC/precuneus and HC are considered part of the dorsomedial/core and medial temporal subsystems of the DMN, respectively (Spreng and Andrews-Hanna, 2015). Therefore, these findings suggest that complex memory encoding that involves self-referential processes in social context is associated with enhanced interactions among different functional subsystems within the DMN.

Finally, further expanding the traditional view of the DMN, an emerging view in the literature posits that the AMY, through its high intrinsic and task-evoked connectivity with some DMN regions, is part of a functional network involved in both maintenance of the brain’s default state and various socio-affective processes – i.e., the extended social-affective default network (Amft et al., 2015; see also Schilbach et al., 2008; Bickart et al., 2014). Taken together, emerging evidence suggests that social emotional memory is subserved by the complex interaction of functional systems/networks involved in a multitude of mental processes. A highly interactive nature of the neural mechanisms underlying social emotional memory reviewed here highlights the critical importance of examining measures of both neural activity and connectivity in future investigations on related topics.

Overall, recent functional neuroimaging evidence concerning the role of social information in emotional memory emphasizes the contributions of the AMY, HC, PFC, along with other regions involved in emotion processing and social cognition (e.g., Insula, ATL), to both encoding and retrieval of social emotional memories. The involvement of the AMY/HC and the medial PFC was linked to memory for positive stimuli with increased personal relevance, whereas the HC and Insula were linked to memory for negative social stimuli. Additionally, the AMY, medial PFC, and ATL were also associated with encoding and retrieval of social information, regardless of their valence, and these findings are consistent with evidence regarding the role of these regions in social cognition and behavior, in general. Emerging evidence from the investigations of large-scale functional networks has begun to reveal the relationships between the DMN and various social-affective and cognitive processes related to social emotional memory, with the midline cortical structures (dmPFC/precuneus) possibly serving as functional “hub” regions that integrate these processes. In sum, encoding and retrieval of social emotional information seem to involve complex interactions among both distinct and overlapping neural networks subserving basic emotion processing, social cognition, and memory processes, which may collectively allow us to integrate information from internal and external environments to adaptively navigate through the complex social landscape.

The Role of Emotion Regulation in the Impact of Emotion on Memory

Research on emotion regulation (ER) has established that the ability to adaptively cope with emotionally challenging situations is vital for both physical and mental health. Although important progress has been made in elucidating the neural correlates associated with the effects of engaging specific ER strategies on immediate emotional experiences (e.g., Buhle et al., 2014; Dorfel et al., 2014), relatively less is known about the mechanisms linked to long-term consequences of engaging ER on emotional memory (but see Erk et al., 2010; Hayes et al., 2010; Binder et al., 2012; Denkova et al., 2013a,b, 2015). The two arguably most widely studied ER strategies in functional neuroimaging research are cognitive reappraisal, which involves attempts to change the meaning of stimuli/situations (e.g., by thinking that the situation is not real), and expressive suppression, which involves attempts to decrease emotionally expressive behavior (Gross, 2008). Available research suggests an advantage of reappraisal over suppression in reducing emotional experiences (Eippert et al., 2007; Kalokerinos et al., 2015; Olatunji et al., 2015), and dissociable neural mechanisms recruited by these ER strategies (Goldin et al., 2008; Hermann et al., 2014). More recently, ER research has also begun to elucidate the impact of other ER strategies involving attentional deployment [e.g., focused attention (FA)], which involves shifts in attention to or away from the emotional aspects of emotion eliciting stimuli or (memory for) events (Gross, 2008; Sheppes et al., 2014). The effectiveness of attentional deployment ER strategies has been confirmed by a recent meta-analysis (Webb et al., 2012), and the underlying neural mechanisms have been also investigated (McRae et al., 2010; Kanske et al., 2011; Denkova et al., 2013a,b, 2015; Dorfel et al., 2014).

Regarding the long-term effects of ER, several studies have provided evidence clarifying how the engagement of various ER strategies affects the impact of emotion on memory, at both behavioral (Richards and Gross, 1999, 2000; Dillon et al., 2007; Dunn et al., 2009; Kim and Hamann, 2012; Ahn et al., 2015), and neural (Hayes et al., 2010; Binder et al., 2012) levels. Clarification of the impact of ER on emotional memories has important implications for understanding and treating affective disorders, in which an excessive focus on distressing memories and emotional dysregulation are often among the core debilitating features (Nolen-Hoeksema et al., 2008; Williams and Moulds, 2008; Rubin et al., 2011; Cisler and Olatunji, 2012; Dolcos, 2013).

Emotion Regulation and Emotional Memory Encoding

Available evidence suggests that the engagement of cognitive reappraisal during memory encoding enhances subsequent memory for the reappraised stimuli (Richards and Gross, 2000; Dillon et al., 2007; Liu et al., 2015), even following extended intervals of 1–2 weeks (Kim and Hamann, 2012; Ahn et al., 2015), whereas the engagement of suppression tends to impair memory for the suppressed items (Richards and Gross, 1999, 2000; Dillon et al., 2007; Dunn et al., 2009). One potential explanation for the enhancing vs. impairing effects of reappraisal and suppression on subsequent memory, respectively, concerns the involvement of semantic elaboration involved in these processes. More specifically, it has been suggested that reappraisal requires significant stimulus elaboration, which leads to a deeper level of encoding of and better memory for the stimuli. However, suppression inhibits the emotional experience and/or expression, and therefore leads to impaired subsequent emotional memory (Dillon et al., 2007).

Consistent with these behavioral effects, evidence from neuroimaging studies points to dissociable neural engagement linked to successful encoding of reappraised vs. suppressed items (Hayes et al., 2010; Binder et al., 2012). In particular, the memory enhancement by reappraisal was associated with increased co-activation of the HC and left lateral PFC (inferior frontal gyrus, IFG) (Hayes et al., 2010), whereas the memory impairment by suppression was associated with decreased activity in the HC and its decreased connectivity with the lateral PFC (Binder et al., 2012). More recently, the idea of enhanced subsequent memory by semantic elaboration (and by accompanying self-generated emotions) has been extended to encoding of neutral stimuli. Specifically, subsequent memory for neutral stimuli was significantly enhanced when participants encoded the stimuli by imagining emotional background stories compared to passively viewing them (Kaneda et al., 2017). Furthermore, encoding of neutral stimuli via semantic elaboration, compared to passive viewing, was linked to increased activity in the left IFG and dmPFC, and functional connectivity between these regions as well as between the left IFG and right HC predicted subsequent memory for the neutral stimuli encoded via emotional semantic elaboration (Figure 2). These findings suggest that top-down emotion generation by semantic elaboration can enhance memory for perceptually neutral stimuli, and that this effect seems to be mediated by similar HC-PFC mechanisms involved in the impact of reappraisal on encoding of emotional stimuli. Overall, the available evidence regarding the impact of ER on emotional memory encoding demonstrates that the dissociable effects of reappraisal and suppression are linked to opposing patterns of interaction (increased vs. decreased, respectively) among brain regions involved in basic memory processes (HC) and in higher-order cognitive control and emotion processing (PFC).

FIGURE 2
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FIGURE 2. Functional interactions involved in the effect of emotional semantic elaboration on memory encoding. Functional connectivity between the left IFG and dmPFC as well as between the left IFG and right HC predicted subsequent memory for neutral items encoded via negative semantic elaboration. Similar patterns of brain-behavior associations were identified for positive semantic elaboration (not shown). IFG, inferior frontal gyrus; dmPFC, dorsomedial prefrontal cortex; HC, hippocampus. Adapted from Kaneda et al. (2017), with permission.

Emotion Regulation and Emotional Memory Retrieval

Laboratory events

One of the most commonly studied ER strategies to inhibit retrieval of memories for laboratory events is thought suppression (Depue et al., 2006, 2007; Kupper et al., 2014; Benoit et al., 2015). Thought suppression is an attentional deployment strategy (Sheppes and Gross, 2012), which is typically studied using the so-called Think/No-Think paradigm during which participants first learn cue-target pairs associations, then are presented with the cues to suppress retrieval of the associated targets (Anderson and Green, 2001). In general, suppressing retrieval of unwanted memories has been linked to top-down influences of the lateral PFC on the HC (Gagnepain et al., 2014; Benoit et al., 2015), and this effect was stronger in participants who forgot more of the suppressed memories (Benoit and Anderson, 2012). More specifically, suppressing retrieval of emotional information has been associated with two-phase neural mechanisms, involving initial inhibition of visual regions (visual cortex) and subsequent inhibition of emotional memory regions (AMY and HC) by cognitive control regions (inferior and middle frontal gyrus, respectively) (Depue et al., 2007). Overall, this finding suggests that, whereas common mechanisms involving the PFC and HC underlie suppressing memory retrieval in general, specific patterns of neural activity are linked to suppressing emotional memory retrieval.

Autobiographical events

Investigation of the neural mechanisms underlying the impact of ER on autobiographical recollection has important implications for understanding both healthy functioning and affective disturbances. The few studies examining ER in the context of emotional AM retrieval have primarily focused on reappraisal (Kross et al., 2009; Fabiansson et al., 2012; Holland and Kensinger, 2013), and showed that the engagement of reappraisal can lead to reduced emotional experience associated with the recollected AMs. However, available evidence regarding the associated neural correlates so far is inconclusive, particularly with respect to the role of brain regions involved in emotion processing. For instance, down-regulation of emotional reactions via reappraisal during the (re)construction of AMs was associated with increased activity in the lateral and medial PFC; however, this was also associated with increased, but not decreased, activity in the AMY and Insula (Holland and Kensinger, 2013). In other studies, no specific activations related to reappraisal were identified, possibly due to the use of only a few unique memories that were repeated across different experimental conditions and/or of delayed instructions to regulate (i.e., after the engagement of memory retrieval) (Kross et al., 2009; Fabiansson et al., 2012; Holland and Kensinger, 2013).

Recent evidence also points to the role of FA as an effective attentional deployment ER strategy during the recollection of emotional AMs (Denkova et al., 2013a,b, 2015). In particular, focusing attention on the non-emotional contextual aspects (e.g., time, location, other people present), and away from the emotional aspects of highly emotional personal memories, resulted in a decrease in self-reported emotional responses. This behavioral effect was accompanied by increased activity in the ventromedial PFC (vmPFC) and decreased activity in the AMY. Moreover, mediation analysis suggested a role of the vmPFC in integrating affective signals from the AMY and mediating their impact on the subjective re-experiencing of emotion, according to the current retrieval/attentional focus (Figure 3). While these findings refer to both pleasant and unpleasant AMs, valence-related differences were also identified in the PFC and MTL (Denkova et al., 2013a,b). Importantly, the finding regarding the role of the AMY described above (Denkova et al., 2015) challenges evidence from previous ER studies (Urry et al., 2006; Johnstone et al., 2007), mainly emphasizing top-down influences on AMY activity from the PFC regions involved in cognitive control, rather than reciprocal AMY-PFC influences, initiated in the AMY (see also Dolcos et al., 2006).

FIGURE 3
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FIGURE 3. The mediating role of vmPFC during ‘distraction’ away from the emotional aspects of autobiographical recollections. Mediation analysis identified a significant (p = 0.009) negative mediation effect of vmPFC on the relation between the AMY and emotional ratings during focus on non-emotional aspects of memories, and a significant (p = 0.03) positive direct effect (path c′, X to Y controlling for M) between AMY and emotional ratings when controlling for vmPFC influence. Standardized coefficients and significance noted with asterisks are reported for each path. p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001 (two-tailed); ns, not significant. AMY, amygdala; vmPFC, ventromedial prefrontal cortex. From Denkova et al. (2015).

It is important to note that the manipulation used by Denkova et al. (2015) involves simply switching the retrieval focus during recollection of AMs. This remarkably subtle manipulation is consistent with evidence from other ER studies showing that manipulation of attention focus either on emotional or non-emotional aspects during working memory tasks can alter emotional responses (Thiruchselvam et al., 2011) and task performance (Iordan, 2016). Furthermore, this manipulation of retrieval focus can also be linked to emerging evidence regarding the effect of episodic specificity induction – i.e., brief training in recollecting episodic details (Madore and Schacter, 2016), which has revealed that focusing on very specific episodic details of recent events can enhance subsequent performance on a range of cognitive tasks (Madore et al., 2015; McFarland et al., 2017), and also increases psychological well-being (Jing et al., 2016). These findings are also consistent with recent evidence showing that training to recollect AMs with increased specificity may yield beneficial effects in depression (Raes et al., 2009; Watkins et al., 2009). The findings from the Denkova et al. (2015) study extend such investigations to emotional AMs, by showing that focusing on non-emotional aspects of AMs can influence the emotional (re)experience of such memories. These findings lend support to cognitive behavioral therapies involving ER training to “distract” from emotional aspects of personal memories, by focusing attention on their non-emotional contextual aspects, which in turn leads to reduced emotional experiences.

In sum, emerging evidence suggests that ER influences both encoding and retrieval of emotional memories, with different ER strategies associated with differential effects on subsequent memory (i.e., enhanced vs. impaired). More specifically, the engagement of cognitive reappraisal during encoding leads to enhanced emotional memory, whereas that of expressive suppression leads to impaired memory. Attentional deployment strategies, such as FA, seem to have beneficial effects on retrieval of emotional personal memories, because they can enhance the emotional impact of positive memories and reduce the impact of negative ones. These behavioral effects are coupled with differential recruitment and connectivity among PFC (lateral and medial) and MTL (AMY and HC) regions. Overall, in the context of the two main mechanisms of emotional memory discussed in the first section of this review, available evidence suggests that ER influences the bottom-up MTL-based mechanisms through the engagement of the top-down PFC-based mechanisms, which may also contribute to the memory-enhancing effect of emotions.

The Impact of Emotion on Associative or Relational Memory

One important aspect of human memory concerns the binding of contextual information (e.g., time, place, or associative cues) that constitutes many disparate features of a unified event (Davachi, 2006; Ranganath, 2010). For instance, following the involvement in a traffic accident, environmental cues that were associated with the event (e.g., the make of the car, the color of surrounding vehicles, the song being played on the radio when the collision had occurred) may reactivate strong emotional memories, upon exposure to such cues at a later time. Furthermore, such associative mechanisms seem to be compromised in some clinical conditions, such as posttraumatic stress disorder (PTSD), in which events associated with traumatizing contexts can involuntarily trigger vivid recollection of distressing memories in the form of intrusive thoughts, flashbacks, or nightmares (Flor and Nees, 2014; Wilker et al., 2014). Therefore, recent research has begun to examine the impact of emotion on memory for items as a part of, or in relation to, other items (Chiu et al., 2013). Extant evidence identifies both enhancing and impairing effects of emotion on memory binding, and as discussed below, these opposing effects have been interpreted in the context of different (but not mutually exclusive) views (Christianson, 1992; Kensinger, 2009; Mather and Sutherland, 2011; Chiu et al., 2013; Bisby et al., 2016).

Behavioral Evidence

It has been known for a long time from the attention literature that emotional arousal tends to narrow attention to central cues, at the expense of peripheral, irrelevant cues (Easterbrook, 1959). Such prioritization of resources toward central aspects of information can result in enhanced memory for the central aspects, compared to the peripheral or contextual aspects that are attended less (Burke et al., 1992; Christianson, 1992; Buchanan and Adolphs, 2002). Therefore, emotional arousal or salience seems to weaken the integration of central aspects with peripheral contextual information into a unified memory representation (Mather, 2007). This phenomenon has also been referred to as the emotion-induced memory trade-off, in which memory is enhanced for the central emotional content of a stimulus but impaired for the associated neutral contextual information (Kensinger, 2009).

Among the various accounts for these opposing effects of emotion on memory (Mather, 2007; Kensinger, 2009; Chiu et al., 2013), one suggests that emotional arousal has dissociable effects on memory binding depending on certain aspects related to an event. In particular, Mather (2007) proposed that, whereas emotion can enhance memory for within-object features, it impairs memory for between-object features, the latter of which do not take advantage of emotional arousal (see also Kensinger, 2009 for a similar distinction between the intrinsic vs. extrinsic information). These assumptions were derived from a number of studies using either within-item or between-item binding tasks (reviewed in Chiu et al., 2013). For instance, memory was enhanced for specific intrinsic features, such as color (Doerksen and Shimamura, 2001; D’Argembeau and Van der Linden, 2004) or location (Mather and Nesmith, 2008; Nashiro and Mather, 2011) of emotional stimuli, compared to the same features being associated with neutral stimuli. By contrast, memory was impaired for extrinsic features and contextual details of emotional stimuli, when emotional objects were accompanied by neutral scenes (Kensinger et al., 2007a), when neutral objects were superimposed on emotional scenes (Touryan et al., 2007b), or when emotional scenes were associated with a colored frame (Rimmele et al., 2011).

Mather’s (2007) view regarding these opposing effects of emotion on memory has been recently postulated in the so-called Arousal-Biased Competition (ABC) Theory (Mather and Sutherland, 2011), which underscores the role of another important factor contributing to memory binding, namely, attentional priority. According to this account, emotional arousal enhances processing of stimuli with the highest priority (either due to bottom-up salience or top-down relevance), and impairs processing of those with lower priority (Mather and Sutherland, 2011). Thus, emotional arousal may enhance associative memory for features of high-priority items (e.g., color or location of an item) and impair memory for neutral items, when presented at the same time (or closely in time, see Sakaki et al., 2014) with emotional items. For instance, presentation of emotional stimuli enhanced or impaired memory for the preceding neutral stimuli, depending on whether these neutral stimuli were highly prioritized or not, respectively (Figure 4; Sakaki et al., 2014).

FIGURE 4
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FIGURE 4. Memory for Oddball-1 objects in the Prioritize Oddball-1 and Prioritize Oddball Conditions. Negative compared to neutral images lead to better memory for the preceding neutral objects (oddball-1) when people prioritize these objects (Prioritize Oddball-1 Condition), but to worse memory when people do not prioritize these objects (Prioritize Oddball Condition). Significant difference. Adapted from Sakaki et al. (2014).

Importantly, the ABC theory also seems to account for previous behavioral evidence identifying enhanced memory for neutral words presented in the context of emotional words (Guillet and Arndt, 2009), or when neutral objects were placed on emotional scenes (Smith et al., 2004b, 2005). In general, memory should be impaired for neutral stimuli following an attention narrowing stimulus (Easterbrook, 1959) or a between-object feature (Mather, 2007). In these studies, participants were instructed to learn word-word associations (Guillet and Arndt, 2009) or to mentally integrate or connect objects and scenes during encoding (Smith et al., 2004b), which might have given such associations high “attentional priority,” resulting in facilitation of binding between emotional and neutral information. Taken together, these findings illustrate both enhancing and impairing effects of emotion on memory binding, and that these opposing effects can be explained by differences in attentional deployment toward, and prioritization of, emotional items and the associated features (Easterbrook, 1959; Mather, 2007; Kensinger, 2009; Mather and Sutherland, 2011).

Brain Imaging Evidence

Encoding

Current evidence discussed in this review so far suggests that the effects of emotion on memory binding are mediated by the AMY and its modulation of activity in regions within the MTL that are important for relational representations (HC), such as the binding of item and contextual information (Davachi, 2006; Ranganath, 2010). However, available empirical evidence has been inconclusive, in part due to experimental designs examining different aspects related to an event (e.g., within vs. between features). For instance, memory was enhanced for emotional items compared to neutral ones presented in the context of neutral backgrounds, and this effect was associated with increased activity in the AMY, HC, and PFC regions (Waring and Kensinger, 2011). Similarly, increased AMY activity was identified for subsequently remembered emotional words compared to neutral words (Kensinger and Schacter, 2006a; Dougal et al., 2007). Such memory-enhancing effects, as reflected in greater response in AMY and other MTL regions, however, were not observed for emotional stimuli when the associated contextual details (i.e., semantic judgment or color) were tested (Kensinger and Schacter, 2006a; Dougal et al., 2007). This finding is consistent with evidence regarding the role of the AMY in emotional gist memory (Adolphs et al., 2005). In contrast, increased activity in the HC was related to correct memory of contextual details (Ranganath, 2010), for both emotional and neutral stimuli (Kensinger and Schacter, 2006a).

Together, these findings support the idea that the AMY is specifically involved in enhanced memory for aspects that are intrinsically linked to an emotional event (see also Thoresen et al., 2012), but not in memory for its extrinsic aspects. However, this prioritized processing of emotion-associated information, which could lead to overall enhanced subsequent memory, is not limited to intrinsic aspects of the emotional event. More specifically, available evidence suggests that instructions to intentionally connect objects and their locations with emotional or neutral background scenes can lead to enhanced memory for the objects’ location when presented with emotional scenes, and this effect was associated with increased AMY activity during encoding (Luck et al., 2014). However, it remains unclear whether or not such memory-enhancing effect of emotion is related to preferential processing based on prioritization, as suggested by Mather and Sutherland (2011). Extant evidence also identifies alterations in functional coupling between the AMY and visual processing regions during encoding, depending on whether information is prioritized or not (Lee et al., 2014). This suggests that emotional arousal can indeed amplify visual processing of stimuli with high priority, which might influence subsequent MTL-based binding into a long-lasting memory representation. This idea is consistent with electrophysiological evidence identifying early enhanced perceptual and elaborative processing in conditioning studies using aversive electrical shocks (for review see Miskovic and Keil, 2012) or emotional background pictures (Ventura-Bort et al., 2016a), as unconditioned stimuli.

Retrieval

Consistent with evidence from studies of emotional item memory (Dolcos et al., 2005), increased activity in the AMY, HC, and PFC was associated with recognition of words that have been encoded in the context of emotional sentences compared to those encoded in association with neutral ones (Maratos et al., 2001). Increased AMY activity during retrieval was also identified for correctly recognized negative scenes than forgotten ones, when cued by either an associated negative or neutral scene (Bisby et al., 2016). Moreover, increased retrieval-related activity was identified in the AMY, HC, and PFC when objects (and source information) from emotional background scenes were remembered (Smith et al., 2004b, 2005). Notably, successful retrieval of objects that have been associated with emotional scenes during encoding was associated with increased functional connectivity between the AMY and HC (Smith et al., 2006), suggesting that these regions support the retrieval of emotion-associated information from episodic memory when successfully integrated (see encoding instructions by Smith et al., 2004b, 2005, 2006; but also see Takashima et al., 2016 for HC involvement when emotional context memory is inaccurate).

These fMRI findings, identifying memory-enhancing effects of emotion on associative memory binding, are also supported by a recent study examining brain activity using event-related potentials (ERPs) (Ventura-Bort et al., 2016b). Using an experimental paradigm similar to those used by Smith et al. (2004a,b, 2005, 2006), this study identified larger parietal positivity during retrieval of neutral objects previously encoded with emotional, but not neutral, background scenes (Figure 5A; Ventura-Bort et al., 2016b). The observed parietal Old/New effect (>400 ms following the stimulus onset) has been associated with recollection-based remembering (Rugg and Curran, 2007; Weymar and Hamm, 2013), thus suggesting that objects from emotional contexts were better recollected than those from neutral contexts. A similar ERP signature of memory retrieval has been identified for stimuli encoded under threat of shock (Weymar et al., 2013, 2014). More specifically, subsequent recollection was enhanced for stimulus words encoded under a condition in which a painful electric shock was anticipated (signaled by the color of a stimulus – i.e., within-object binding), compared to those encoded under a safety (no-shock) condition (Figure 5B). Interestingly, the observed context effects on memory were most reliable for emotional events (Weymar et al., 2013, 2014), which fits with the ABC theory (Mather and Sutherland, 2011) positing that arousal (e.g., threat of shock) during encoding may facilitate subsequent recollection of prioritized information (e.g., emotionally salient words). These studies also show that a context bound to an event is not restricted to the actual experience but also to its mere anticipation (Maren et al., 2013).

FIGURE 5
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FIGURE 5. Retrieval-related ERP signature (Old/New Effect) of stimuli previously associated with emotional and neutral contexts. (A) Grand average ERP waveforms at a representative centro-parietal sensor cluster for correctly recognized objects that had been encoded in the context of an emotional background scene (red line) or neutral background scene (black line) and correctly classified new objects (gray line). In the upper left of the figure is displayed the encoding sequence of the experiment. In this experiment 144 objects were presented in the context of 144 background scenes (48 pleasant, 48 neutral, 48 unpleasant). Objects were presented first followed by the background scene, to avoid direct competition between emotional backgrounds and neutral objects. To facilitate memory binding, participants were instructed to imagine that the object is a part of the scene. The graph below illustrates the scalp topographies of the ERP difference (old minus new; 400–700 ms) separately for objects originally paired with emotional or neutral scenes. Adapted from Ventura-Bort et al. (2016b). (B) Grand average ERP waveforms at a representative centro-parietal sensor cluster for correctly remembered words encoded in a font color (see encoding sequence in the upper left) that signaled threat of shock (red line) or safety (black line) and correctly classified new words (gray line). The graph below illustrates the scalp topographies of the ERP difference (old minus new; 500–700 ms) separately for emotional words originally encoded under threat or safety. Adapted from Weymar et al. (2013), with permission.

Finally, the findings from Ventura-Bort et al. (2016b) point to another important factor that may have an impact on memory binding, namely, the retention interval. More specifically, enhanced ERP Old/New effects were observed for objects from emotional contexts when memory was tested 1 week after initial encoding of the stimuli, but not when it was tested immediately or 24 h following encoding (Smith et al., 2004a; Jaeger et al., 2009; Jaeger and Rugg, 2012). Several studies have shown that longer retention intervals facilitate consolidation processes, leading to memory enhancement for highly arousing emotional stimuli, compared to low arousing neutral ones (Dolcos et al., 2005, 2012, 2017; LaBar and Cabeza, 2006; Ritchey et al., 2008; Weymar et al., 2009, 2011; Weymar and Hamm, 2013; Yonelinas and Ritchey, 2015). Therefore, emotion may facilitate associative binding after longer delays, and this idea is also consistent with a recent study identifying similar advantages of longer vs. shorter delays for associative binding (Pierce and Kensinger, 2011). Hence, future research should also consider retention intervals as an important factor when examining the effects of emotion on associative binding.

An Emerging Account: The Role of “Unitization”

An alternative (but not mutually exclusive) explanation for the opposing effects of emotion on memory binding has been recently proposed by Chiu et al. (2013), who posit that the enhancing or impairing effects may be linked to whether or not items are represented in an unitized manner in memory. This view was derived from a growing body of literature pointing to distinct MTL regions supporting item (perirhinal cortex) vs. relational (parahippocampal cortex/HC) memory representations (Cohen et al., 1999; Davachi, 2006; Ranganath, 2010). Previous fMRI studies (Haskins et al., 2008; Staresina and Davachi, 2010) have shown that the perirhinal cortex may also contribute to simpler forms of associative learning based on unitization, which involves representation of separate components (e.g., an object and its color or location) as a single unit (Graf and Schacter, 1989). Therefore, memory for items and “unitized” items can be mediated by similar mechanisms (perirhinal cortex), unlike memory representations that involve more complex associations, for instance, in temporal, spatial, and/or situational domains, which rely on the HC (Konkel and Cohen, 2009). This idea is also supported by recent ERP evidence showing differential ERP Old/New effects related to familiarity vs. recollection for high-unitized and low-unitized associations (Diana et al., 2011).

Based on the extant evidence, Chiu et al. (2013) suggest that emotion leads to enhancement of “item-only” or unitized memory representations, but it impairs more complex HC-dependent relational representations. Therefore, emotion leads to memory enhancement in tasks where the nature of the item-source association is more intrinsic (e.g., color or location) and therefore allows a single representation; however, it impairs memory when complex HC-dependent relational memory representations are required, for instance, in tasks using object-background associations (Kensinger et al., 2007a) or item-pairs (Mather and Knight, 2008). Importantly, when separate objects or features receive equivalent attention, for instance, by instructions to mentally integrate or connect certain items (Smith et al., 2004a,b; Ventura-Bort et al., 2016b), this can facilitate unitized processing and subsequent remembering. There is evidence showing that such integrative mental imagery relies more on amygdalar and parietal processing, and less on frontal and hippocampal processing, thus suggesting that unitized emotional associations may be less mediated by HC-dependent mechanisms (Murray and Kensinger, 2014; see also Ventura-Bort et al., 2016b for discussion of the involvement of familiarity-based recognition and valence). More research is required, however, in order to substantiate this view, given that this idea has not been empirically tested using systematic manipulations of unitization.

Overall, the enhancing and impairing effects of emotion on memory binding that have been identified in the literature so far seem to be explained by differences in attentional deployment toward emotional items and associated features during encoding, whether information is processed in a unitized or complex manner, or differences related to consolidation processes (retention retrieval). The available evidence suggests that emotion may facilitate memory for contextual details or other surrounding stimuli when viewed as intrinsic or unitized to the emotional event itself, via the involvement of the AMY and its interaction with perceptual regions (see also Mather et al., 2015 for the possible role of the locus coeruleus) that promote memory binding in the MTL regions. Successful retrieval of emotion-associated contextual information seems to be associated with increased activity in the AMY and memory-related MTL regions as well as enhanced electrocortical activity related to recollection.

The Role of Individual Differences in Emotional Episodic Memory

Emerging research also highlights the importance of investigating how the neural mechanisms involved in emotional memory vary between individuals. Such investigations help to further elucidate the underlying brain mechanisms in both healthy and clinical groups2, including those impacted by affective disorders which are characterized by dysfunctional emotional memory (Nolen-Hoeksema et al., 2008; Dolcos, 2013). It is therefore crucial to clarify the factors that might give rise to individual differences in the contribution of emotion- and memory-related brain regions and their interaction with cognitive control regions to emotional memory. The present discussion focuses on personality, sex, and age differences (e.g., Drabant et al., 2009; Mak et al., 2009; Canli et al., 2002b; Domes et al., 2010; Mather, 2016; Katsumi et al., 2017).

Personality-Related Differences

Available evidence suggests that general personality traits, such as extraversion, neuroticism, and anxiety, as well as more specific traits indexing habitual engagement of ER, modulate the neural mechanisms underlying the impact of emotion across different processes, including perception, attention, emotional response, and memory (Canli et al., 2002b; Hamann and Canli, 2004; Touryan et al., 2007a; Hooker et al., 2008; Drabant et al., 2009; Eden et al., 2015). For example, extraversion has been linked to enhanced recall of positive memories (Mayo, 1983; Rusting, 1999) and more positive affective states following recall of positive AMs (Denkova et al., 2012). Extraversion has also been associated with a positive affective bias in memory, which in turn is associated with enhanced AMY engagement during memory encoding (Haas and Canli, 2008). In contrast, neuroticism is linked to enhanced recall of negative information (Bradley and Mogg, 1994), including negative personal memories, as shown by an increased frequency of rehearsing negative AMs in women (Figure 6) and greater proportion of recollecting negative AMs in men (Denkova et al., 2012). Furthermore, extant evidence suggests that neuroticism modulates the neural mechanisms that are altered by the impact of emotion on attention and memory (Ormel et al., 2013). The negative affective bias in emotional memory related to neuroticism might be due to increased activation of brain networks engaged during attentional processes, driven largely by greater recruitment of the AMY to negative information during memory encoding (Haas and Canli, 2008). Consistent with this idea, individuals with higher levels of neuroticism showed increased AMY and HC engagement when learning associations between fearful and neutral stimuli, which in turn was associated with enhanced memory for the neutral stimuli learned in association with the fearful stimuli (Hooker et al., 2008). Additionally, neuroticism was linked to reduced connectivity within the top-down executive network (Carballedo et al., 2015).

FIGURE 6
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FIGURE 6. Sex differences in the effect of neuroticism on affective autobiographical retrieval and rehearsal. Neuroticism (NEO-N) predicts frequency of rehearsing negative AMs only in women. From Denkova et al. (2012), with permission.

Trait anxiety is also linked to enhanced encoding and retrieval of negative stimuli (Russo et al., 2006) and modulates AM. Highly anxious individuals seem to have difficulties suppressing the effects of negative AMs, which can be observed in a decrease of the fading of emotional experience linked to recollection of negative personal memories over time (Walker et al., 2014). Furthermore, trait anxiety appears to modulate the neural mechanisms subserving emotional learning, including AMY’s engagement. For example, highly anxious individuals showed enhanced AMY response when exposed to items previously learned in association with negative emotional stimuli (Eden et al., 2015). Overall, this emerging evidence suggests that neuroticism and anxiety are associated with greater engagement of the bottom-up systems subserving emotional memory, leading to enhanced encoding and retrieval of negative associations. Additionally, trait anxiety is linked to reduced resting-state connectivity between the AMY and the dorsal attention network as well as to increased connectivity between the AMY and the ventral attention network (He et al., 2016). This evidence appears consistent with the attentional control theory (Eysenck et al., 2007), which proposes that anxiety modulates the dynamics between the top-down and bottom-up systems of attention in the brain.

Furthermore, available evidence suggests that habitual engagement of emotion control can also influence the effect of emotion on cognition. On the one hand, cognitive reappraisal, which is positively related to extraversion and negatively to neuroticism, is linked to more positive affective states and overall greater psychological well-being (Gross and John, 2003), as well as with a bias in remembering positive personal memories (Denkova et al., 2012). On the other hand, expressive suppression, which is negatively related to extraversion, is associated with increased negative affect and greater tendency toward anxiety symptoms (Llewellyn et al., 2013). Habitual engagement of suppression has also been associated with reduced confidence in memory accuracy and decreased experience of emotional and sensory details during autobiographical retrieval (Rubin and Seigler, 2004), as well as with increased recollection of negative AMs and enhanced negative affective states following retrieval of unpleasant memories in women (Denkova et al., 2012).

Sex Differences

As alluded to in the previous section, extant evidence points to sex differences in emotion processing (Stevens and Hamann, 2012; Andreano et al., 2014) and in emotional memory (Cahill, 2003; Hamann, 2005; Andreano and Cahill, 2009). For example, compared to men, women remember more emotional personal/AMs (Seidlitz and Diener, 1998; Davis, 1999), and show enhanced overall brain response during encoding of emotional memories (Canli et al., 2002a). Previous research on sex differences in the underlying mechanisms of emotional memory also highlights a hemispheric asymmetry in the recruitment of AMY, with the left AMY linked to successful emotional memory encoding in women, and the right AMY linked to successful encoding in men (Cahill et al., 2001; Canli et al., 2002a; but see Fischer et al., 2007). There is also evidence that consolidation of emotional memory is altered by sex differences (Mackiewicz et al., 2006), and that the sex-related lateralization in the AMY associated with emotional memory encoding appears to also be influenced by sex differences in the stimuli being encoded. More specifically, there is evidence pointing to preferential engagement of the left AMY during successful encoding of female emotional faces in women, and to preferential engagement of the right AMY during successful encoding of male emotional faces in men (Armony and Sergerie, 2007).

The idea that women preferentially process same-sex stimuli is consistent with findings that women tend to have increased preference for socially relevant stimuli, in general (e.g., faces and people as opposed to scenes) (Proverbio et al., 2008a,b). This has led to the idea that feminine and masculine roles as developed by society, rather than the sex per se, contribute to the observed differences in emotional memory (Cahill et al., 2004) between women and men. This interpretation is consistent with findings showing sex differences in AMY activity associated with opposing effects in memory for peripheral vs. central details. Namely, the engagement of the left and right AMY was associated with enhanced consolidation of peripheral vs. central aspects of emotional events in women and men, respectively (Cahill and van Stegeren, 2003). Furthermore, there is also evidence that those participants with greater feminine traits recalled more the peripheral features of emotional information, whereas those with greater masculine traits recalled more the central aspects (Cahill et al., 2004). Overall, these findings demonstrate that femininity is linked to relatively enhanced vs. impaired recall of peripheral vs. central aspects of emotional information, respectively, with evidence that the former involves recruitment of the left AMY.

Emerging evidence also shows that women recall fewer positive and more negative AMs than men do (Denkova et al., 2012), although women and men show similar assessment of phenomenological properties (e.g., vividness and arousal) of their personal emotional memories (Young et al., 2013). Furthermore, available evidence suggests that recall of emotional AMs and post-retrieval mood is differently influenced by habitual ER, in women and men (Denkova et al., 2012). That is, habitually engaging suppression as a strategy in women may be inefficient and could come at the cost of overall enhanced recollection of negative AMs and greater post-retrieval negative mood (Denkova et al., 2012). At the neural level, retrieval of emotional AMs has been shown to be related to common and dissociable brain activity in women and men. More specifically, although women and men showed similar activation of the PFC, AMY, and memory-related MTL regions during retrieval of emotional AMs, remembering negative AMs was associated with greater engagement of brain regions such as the AMY, whereas remembering positive AMs was associated with greater engagement of lateral PFC, in women compared to men (Young et al., 2013). Overall, the evidence regarding sex differences in emotional memory is consistent with the idea that women perceive, express, and experience emotions to a greater extent than men do (Briton and Hall, 1995; Meyers-Levy and Loken, 2015), and with evidence highlighting both advantages and disadvantages associated with sex differences in emotion processing, in general. While there is evidence in support of enhanced emotional competence in women (Hall and Matsumoto, 2004; Montagne et al., 2005; Collignon et al., 2010), there is also evidence pointing to women’s increased vulnerability to affective disturbances (Nolen-Hoeksema, 2001; Kessler, 2003; Bekker and van Mens-Verhulst, 2007).

Age-Related Differences

Healthy aging is characterized by both an overall preserved ability to process and remember emotional information (Phillips et al., 2002; Keightley et al., 2006; Mather, 2006; St. Jacques et al., 2009, 2010; Dolcos et al., 2014) and by an enhanced ability to spontaneously control emotion (Gross et al., 1997; Mather and Knight, 2005; Dolcos et al., 2014). These are reflected in the so-called age-related positivity effect – i.e., the tendency to enhance positive emotions and reduce negative emotions (Mather, 2016). Thus, examination of age-related differences in emotion processing and emotional memory also has the potential to help clarify the underlying mechanisms of emotional memory in mood and anxiety disorders, and to identify possible therapeutic interventions in these and other related disturbances.

In the memory domain, many studies have provided evidence supporting the positivity effect observed in healthy older adults, as reflected in their tendency to remember more positive and fewer negative memories for personal or laboratory events (e.g., Charles et al., 2003; Kennedy et al., 2004; Comblain et al., 2005; Schlagman et al., 2006; Fernandes et al., 2008; Spaniol et al., 2008; Ebner and Johnson, 2009; St. Jacques et al., 2009). At the neural level, the AMY-MTL and PFC have been highlighted as key regions subserving the memory-enhancing effect of emotion in aging, with the PFC mechanisms playing a crucial role (reviewed in Dolcos et al., 2012). For example, Murty et al. (2009) and St. Jacques et al. (2009) both identified reduced connectivity between the AMY and HC, paired with enhanced connectivity between the AMY and lateral PFC, associated with successful encoding of negative information in older compared to younger adults (Figure 7). Additionally, recent investigations of effective connectivity during emotional encoding identified both (1) greater positive modulation of MTL engagement by PFC, and (2) greater intra-regional connectivity within PFC (e.g., orbital, medial, and lateral), during the encoding of positive information in older than in younger adults (Addis et al., 2010; Waring et al., 2013). Finally, older adults who showed greater connectivity between AMY and mPFC at rest also showed (1) increased mPFC engagement during the encoding of emotional faces, and (2) a greater positivity effect in a subsequent memory recognition test (i.e., more likely to remember positive as opposed to negative faces), whereas these patterns were not shown in younger adults (Sakaki et al., 2013). Taken together, these findings emphasize an age-related strengthening in AMY-PFC connectivity that is overall linked to enhanced emotional memory encoding, and also associated with the positivity effect observed in older adults. Importantly, age-related decrease in the engagement of the AMY-MTL mechanisms coupled with the increased involvement of the AMY-PFC mechanisms in emotional memory is also consistent with the PASA (Posterior–Anterior Shift in Aging) model in the cognitive aging literature, characterized by reduced contribution of the posterior brain regions compensated by greater recruitment of the PFC regions (Davis et al., 2008).

FIGURE 7
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FIGURE 7. Opposing age-related changes in the PFC and MTL connectivity with the AMY during emotional memory encoding. (A) Age-related enhanced functional connectivity between AMY and dorsolateral PFC (dlPFC). (B) Age-related decreased functional connectivity between AMY and hippocampus (HC) during encoding of memories for negative pictures. L, left; BA, Brodmann Area. Adapted from St. Jacques et al. (2009).

In addition, extant behavioral findings suggest that older adults have greater susceptibility compared to young adults to the aforementioned memory trade-off effect between emotional/central vs. non-emotional/peripheral aspects of an event (Kensinger et al., 2005, 2007b; Nashiro and Mather, 2011). These age-related differences have been associated with older adults’ relatively decreased tendency to engage in particular encoding strategies (e.g., broad allocation of attention to contextual features of stimuli) that help younger adults reduce the negative influence of the trade-off effect. This suggests that older adults may have particular difficulty in disengaging attention from emotionally salient features of stimuli (Kensinger et al., 2005, 2007b). Furthermore, there is evidence that emotional arousal enhances memory for information about intrinsically linked contextual aspects (e.g., stimuli and their location) through memory binding in younger adults but not in older adults, thus suggesting that possibly limited cognitive resources in older adults may lead them to remember only the gist but not the associated details (Nashiro and Mather, 2011). This evidence is consistent with previous research documenting age-related impairments in inhibition and attentional control operations (reviewed in Fabiani, 2012), and various forms of associative memory (Old and Naveh-Benjamin, 2008). Finally, although evidence regarding the underlying mechanisms of age-related deficits in associative memory is currently limited, a recent investigation of the effect of age on memory processes found a significant link between associative memory performance and HC volume in older adults, consistent with the idea that this region is involved in representations of item-context relations (Henson et al., 2016).

Summary and Future Directions

The present review discussed findings from brain imaging studies investigating the neural correlates of encoding and retrieving emotional memories, and how they are modulated by factors linked to social information, emotion regulation, associative/relational memory, and individual differences in personality traits, sex, and age. The available evidence points to the involvement of and interaction between direct/bottom-up MTL-based and indirect/top-down PFC-based mechanisms associated with the impact of emotion on memory, which seem to be modulated by basic affective properties (arousal and valence) and by the four factors discussed here (see Figure 8 and Table 1).

FIGURE 8
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FIGURE 8. Diagram summarizing the neural correlates of the memory-enhancing effect of emotion, as resulted from brain imaging studies. Two main basic mechanisms involved in the memory-enhancing effect of emotion were identified: (I) one based in the MTL (AMY and MTL Memory System = HC and associated parahippocampal cortices) and (II) the other also involving non-MTL regions, such as the medial and dorso/ventrolateral prefrontal cortex (mPFC and dlPFC/vlPFC, respectively), among others (e.g., parietal cortex). The AMY and the MTL memory regions interact through direct/automatic neurohormonal mechanisms that contribute to the memory-enhancing effect of emotion (bottom-up mechanism), whereas PFC is part of a mechanism that has an indirect/mediated involvement in emotional memories, by enhancing strategic, semantic, working memory, and attentional processes (top-down mechanism). In addition to basic effects of emotion, encoding of positive and negative emotions is also associated with relatively increased involvement of the PFC and temporo-occipital cortices (TOC), respectively. Moreover, investigation of social emotional memory identified valence-specific engagement of other brain regions that contribute to enhanced emotional memories in social contexts – i.e., memory for socially relevant information involves activity in and interactions between the medial orbitofrontal cortex (OFC) and the MTL in the case of items with positive connotations and the Insula and the MTL for items with negative connotations. Moreover, the midline cortical regions of the default mode network [mPFC, posterior cingulate cortex/precuneus (PCC/PCun)] are also involved in encoding of self-relevant information in social context. In addition, investigation of the impact of emotion regulation on emotional memory identified bidirectional relations between the MTL and the PFC regions associated with specific emotion regulation strategies, involving (i) the lateral/medial PFC in top-down modulation of the AMY-MTL mechanisms in emotional memory encoding and retrieval, and (ii) the AMY signaling medial PFC the need to exert control over emotional stimuli, resulting in overall reduced emotional experience, during autobiographical retrieval. Both the bottom-up and top-down mechanisms involved in emotional episodic memory are modulated by individual differences related to personality, sex, and age. Adapted from Dolcos et al. (2011, 2012) and Denkova et al. (2015).

TABLE 1
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TABLE 1. Summary of main functions of the PFC, AMY, and HC in emotional memory encoding and retrieval across four domains.

Despite a rapidly growing body of literature elucidating the mechanisms underlying emotional memory in the context of the four emerging directions discussed in this review, a number of issues remain unclear. Regarding the role of social information, one issue that has been relatively less explored in the literature concerns the mechanisms underlying the impact of emotion control/regulation on memory processes in social context. This is surprising, given the evidence that the ability to control and experience emotions appropriately is essential in successful social interactions (Gross, 2002). Available behavioral evidence shows that engaging reappraisal and suppression during social interactions is associated with enhanced memory for conversation content vs. emotional reactions in the context of discussing relationship conflicts, respectively (Richards et al., 2003). More recently, it has been shown that social regulation (e.g., holding someone’s hand during an emotional experience) can lead to decreased memory for negative images (Flores and Berenbaum, 2017). Complementing these findings, recent neuroimaging evidence suggests that regulation of emotions experienced through interaction with others may be subserved by dissociable neural networks, compared to those involved in regulating emotions experienced individually (Grecucci et al., 2015). Thus, clarification of the mechanisms involved in regulating how we experience and interpret our own emotions and those of others, and how these processes influence our remembrance of social experience, may allow us to better understand the complex nature of human social interactions.

Regarding the role of emotion regulation on emotional memory, further investigations are needed to clarify the impact of various ER strategies that can be used to cope with emotional memories. Given that emerging research highlights the effectiveness of attentional deployment strategies (distraction, FA) (Denkova et al., 2015), future investigations of the impact of ER on memory should include more elaborated practices and training that rely on attentional control. Mindfulness, which involves attention to the present moment without emotional reactivity and elaboration, is such a technique that could be used as a training method to reduce the impact of distressing emotional memories. This line of future research seems promising, since there is preliminary evidence showing that mindfulness training, which has been associated with increased well-being, can impact the neural correlates of emotion processing (Allen et al., 2012; Desbordes et al., 2012) and increase the specificity of AMs in healthy (Heeren et al., 2009) and formerly depressed (Williams et al., 2000) individuals.

Regarding relational emotional memory, the role of stress on neural memory binding has been less explored. Recent lines of research (e.g., Joëls et al., 2011; van Ast et al., 2013; Hermans et al., 2014; Vogel et al., 2016) emphasize two different corticosteroid actions critical for memory processes. On the one hand, to promote survival, shortly after stress, non-genomic corticosteroids interact with noradrenaline to enable immediate fight-flight responses and to focus attention on gist-based information at the cost of remembering contextual details. On the other hand, some hours after stress, slower long-lasting, gene-mediated, corticosteroid actions are thought to facilitate restorative processes, involving enhanced executive control (Hermans et al., 2014) and remembering events in a more contextual manner (van Ast et al., 2013). Future studies investigating opposing effects of emotion on associative binding might consider these time-dependent stress actions (see also Dolcos, 2014).

Finally, regarding the role of individual differences, whereas investigation of individual differences in emotion-related domains seems promising to explain differences in the heightened sensitivity to and enhanced encoding of emotional information (e.g., Haas and Canli, 2008), relatively less is known about the impact of individual differences in the cognitive domain. The latter may be of particular importance regarding the implementation and impact of ER strategies during memory formation. For instance, there is evidence showing that higher working memory capacity is associated with better suppression of negative emotions (Schmeichel et al., 2008), and that working memory training may lead to better emotion control through enhanced efficiency of the fronto-parietal network (Schweizer et al., 2013). Hence, this seems a promising research avenue. Moreover, recent studies also highlight the importance of taking into account individual differences in multiple domains concomitantly, given the highly interactive nature of their effects on these phenomena. For example, as discussed above, neuroticism but not extraversion was linked to sex differences in the recollection of emotional memories and the emotional states post-memory retrieval (Denkova et al., 2012). Also, neuroticism at older ages is linked to greater levels of negative affect (Mroczek et al., 2006) and an elevated risk of developing mild cognitive impairment (Wilson et al., 2005). At the neural level, neuroticism has been shown to interact with both sex and age in influencing the volume of brain regions associated with emotion processing (e.g., AMY, fusiform gyrus) (Jackson et al., 2011; Nostro et al., 2016). Although current research is still limited, available evidence shows that taking into consideration multiple domains of individual differences will be crucial in gaining a comprehensive understanding of the mechanisms involved in emotional memory. Hence, examining the interacting influences of multiple individual difference factors will be a key approach in better understanding how individual variations may impact the mechanisms underlying emotional memory.

Author Contributions

The authors’ main contributions to specific sections are as follows: FD contributed to all sections. YK and SD contributed to the sections on social emotional memory, the role of emotion regulation, and the role of individual differences in emotional memory. MW contributed to the section on the impact of emotion on relational memory. MM contributed to the section on the role of individual differences, and TT contributed to the section on the role of emotion regulation in the impact of emotion on memory.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

During the preparation of this manuscript, FD was supported by a Helen Corley Petit Scholarship in Liberal Arts and Sciences and an Emanuel Donchin Professorial Scholarship in Psychology, from the University of Illinois. MW was supported by a grant from the German Research Foundation (DFG, WE 4801/3-1). TT was supported by a grant from the Japan Society for the Promotion of Science (JSPS KAKENHI Grant Number 17H05947).

Footnotes

  1. ^Although not the focus of this review, it should be noted that there has been recent seminal work using intracranial recordings highlighting the role of brain regions such as the anterior thalamic nucleus (ATN) in support of successful memory encoding (Sweeney-Reed et al., 2014, 2015). More specifically, recent evidence shows that neocortical-ATN theta oscillatory phase synchrony, neocortical-theta-to-ATN-gamma cross-frequency coupling, and phase alignment in the theta rhythm predict successful encoding, suggesting an active role of the ATN during memory formation (Sweeney-Reed et al., 2014, 2015).
  2. ^It is important to note that in addition to the emerging aspects discussed here, understanding how the mechanisms underlying emotional memory are altered in clinical conditions is also important. Clarification of the neural mechanisms involved in emotional memory, including the aspects highlighted in this review, allows for better understanding of alterations in the neural mechanisms of dysfunctional emotional memory in clinical conditions, such as affective disturbances (anxiety, depression, stress-related, etc.). Thus, it is crucial to understand the contribution of emotion- and memory-related brain regions, and their interaction with cognitive control regions, to emotional memory. Although an elaborated discussion of these issues is not possible due to space limitations, we briefly illustrate how clinical alterations in all four domains discussed here can be identified in PTSD. For example, there is evidence that PTSD is associated with impaired social cognitive processing, such as reduced social problem solving (Sutherland and Bryant, 2008) and interpersonal functioning (Sharp et al., 2012), and with emotion regulation difficulties (Ehring and Quack, 2010) (see also Rauch et al., 2006; Shin and Liberzon, 2009; Brown and Morey, 2012; Hayes et al., 2012). Additionally, associative memory mechanisms are also compromised in PTSD patients, who tend to have gist-based or decontextualized distressing memories (McNally et al., 1994; Kaspi et al., 1995; Harvey et al., 1998; Hayes et al., 2011). It has been proposed that impaired ability to recollect contextual details associated with the traumatic events is due to hyperarousal during encoding, which leads to functional disorganization of the memory-related AMY-HC mechanisms (Dolcos, 2013). Finally, individual differences such as neuroticism have been shown to be associated with increased relative risk of PTSD in response to trauma (Breslau and Schultz, 2013). Thus, investigation of emotional memory in relation to the various domains highlighted in this review has the potential to contribute to our better understanding of the neural mechanisms of altered emotional memory in affective disturbances, and of identifying potential therapeutic interventions in these and other related clinical conditions.

References

Addis, D. R., Leclerc, C. M., Muscatell, K. A., and Kensinger, E. A. (2010). There are age-related changes in neural connectivity during the encoding of positive, but not negative, information. Cortex 46, 425–433. doi: 10.1016/j.cortex.2009.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Adolphs, R. (2010). What does the amygdala contribute to social cognition? Ann. N. Y. Acad. Sci. 1191, 42–61. doi: 10.1111/j.1749-6632.2010.05445.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Adolphs, R., Cahill, L., Schul, R., and Babinsky, R. (1997). Impaired declarative memory for emotional material following bilateral amygdala damage in humans. Learn. Mem. 4, 291–300. doi: 10.1101/lm.4.3.291

PubMed Abstract | CrossRef Full Text | Google Scholar

Adolphs, R., Tranel, D., and Buchanan, T. W. (2005). Amygdala damage impairs emotional memory for gist but not details of complex stimuli. Nat. Neurosci. 8, 512–518. doi: 10.1038/nn1413

PubMed Abstract | CrossRef Full Text | Google Scholar

Adolphs, R., Tranel, D., and Denburg, N. (2000). Impaired emotional declarative memory following unilateral amygdala damage. Learn. Mem. 7, 180–186. doi: 10.1101/lm.7.3.180

PubMed Abstract | CrossRef Full Text | Google Scholar

Ahn, H. M., Kim, S. A., Hwang, I. J., Jeong, J. W., Kim, H. T., Hamann, S., et al. (2015). The effect of cognitive reappraisal on long-term emotional experience and emotional memory. J. Neuropsychol. 9, 64–76. doi: 10.1111/jnp.12035

PubMed Abstract | CrossRef Full Text | Google Scholar

Allen, M., Dietz, M., Blair, K. S., van Beek, M., Rees, G., Vestergaard-Poulsen, P., et al. (2012). Cognitive-affective neural plasticity following active-controlled mindfulness intervention. J. Neurosci. 32, 15601–15610. doi: 10.1523/JNEUROSCI.2957-12.2012

PubMed Abstract | CrossRef Full Text | Google Scholar

Amft, M., Bzdok, D., Laird, A. R., Fox, P. T., Schilbach, L., and Eickhoff, S. B. (2015). Definition and characterization of an extended social-affective default network. Brain Struct. Funct. 220, 1031–1049. doi: 10.1007/s00429-013-0698-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderson, M. C., and Green, C. (2001). Suppressing unwanted memories by executive control. Nature 410, 366–369. doi: 10.1038/35066572

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderson, M. C., Ochsner, K. N., Kuhl, B., Cooper, J., Robertson, E., Gabrieli, S. W., et al. (2004). Neural systems underlying the suppression of unwanted memories. Science 303, 232–235. doi: 10.1126/science.1089504

PubMed Abstract | CrossRef Full Text | Google Scholar

Andreano, J. M., and Cahill, L. (2009). Sex influences on the neurobiology of learning and memory. Learn. Mem. 16, 248–266. doi: 10.1101/lm.918309

PubMed Abstract | CrossRef Full Text | Google Scholar

Andreano, J. M., Dickerson, B. C., and Barrett, L. F. (2014). Sex differences in the persistence of the amygdala response to negative material. Soc. Cogn. Affect. Neurosci. 9, 1388–1394. doi: 10.1093/scan/nst127

PubMed Abstract | CrossRef Full Text | Google Scholar

Armony, J. L., and Sergerie, K. (2007). Own-sex effects in emotional memory for faces. Neurosci. Lett. 426, 1–5. doi: 10.1016/j.neulet.2007.08.032

PubMed Abstract | CrossRef Full Text | Google Scholar

Barrett, L. F., Mesquita, B., Ochsner, K. N., and Gross, J. J. (2007). The experience of emotion. Annu. Rev. Psychol. 58, 373–403. doi: 10.1146/annurev.psych.58.110405.085709

CrossRef Full Text | Google Scholar

Beadle, J. N., Tranel, D., Cohen, N. J., and Duff, M. (2013). Empathy in hippocampal amnesia. Front. Psychol. 4:69. doi: 10.3389/fpsyg.2013.00069

PubMed Abstract | CrossRef Full Text | Google Scholar

Bekker, M. H., and van Mens-Verhulst, J. (2007). Anxiety disorders: sex differences in prevalence, degree, and background, but gender-neutral treatment. Gend. Med. 4(Suppl. B), S178–S193. doi: 10.1016/S1550-8579(07)80057-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Benoit, R. G., and Anderson, M. C. (2012). Opposing mechanisms support the voluntary forgetting of unwanted memories. Neuron 76, 450–460. doi: 10.1016/j.neuron.2012.07.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Benoit, R. G., Hulbert, J. C., Huddleston, E., and Anderson, M. C. (2015). Adaptive top-down suppression of hippocampal activity and the purging of intrusive memories from consciousness. J. Cogn. Neurosci. 27, 96–111. doi: 10.1162/jocn_a_00696

PubMed Abstract | CrossRef Full Text | Google Scholar

Bickart, K. C., Dickerson, B. C., and Barrett, L. F. (2014). The amygdala as a hub in brain networks that support social life. Neuropsychologia 63, 235–248. doi: 10.1016/j.neuropsychologia.2014.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Binder, J., de Quervain, D. J., Friese, M., Luechinger, R., Boesiger, P., and Rasch, B. (2012). Emotion suppression reduces hippocampal activity during successful memory encoding. Neuroimage 63, 525–532. doi: 10.1016/j.neuroimage.2012.07.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Bisby, J. A., Horner, A. J., Horlyck, L. D., and Burgess, N. (2016). Opposing effects of negative emotion on amygdalar and hippocampal memory for items and associations. Soc. Cogn. Affect. Neurosci. 11, 981–990. doi: 10.1093/scan/nsw028

PubMed Abstract | CrossRef Full Text | Google Scholar

Botzung, A., LaBar, K. S., Kragel, P., Miles, A., and Rubin, D. C. (2010a). Component neural systems for the creation of emotional memories during free viewing of a complex, real-world event. Front. Hum. Neurosci. 4:34. doi: 10.3389/fnhum.2010.00034

PubMed Abstract | CrossRef Full Text | Google Scholar

Botzung, A., Rubin, D. C., Miles, A., Cabeza, R., and Labar, K. S. (2010b). Mental hoop diaries: emotional memories of a college basketball game in rival fans. J. Neurosci. 30, 2130–2137. doi: 10.1523/JNEUROSCI.2481-09.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Bradley, B. P., and Mogg, K. (1994). Mood and personality in recall of positive and negative information. Behav. Res. Ther. 32, 137–141. doi: 10.1016/0005-7967(94)90095-7

CrossRef Full Text | Google Scholar

Breslau, N., and Schultz, L. (2013). Neuroticism and post-traumatic stress disorder: a prospective investigation. Psychol. Med. 43, 1697–1702. doi: 10.1017/S0033291712002632

PubMed Abstract | CrossRef Full Text | Google Scholar

Briton, N. J., and Hall, J. A. (1995). Beliefs about female and male nonverbal communication. Sex Roles 32, 79–90. doi: 10.1007/BF01544758

CrossRef Full Text | Google Scholar

Brown, V. M., and Morey, R. A. (2012). Neural systems for cognitive and emotional processing in posttraumatic stress disorder. Front. Psychol. 3:449. doi: 10.3389/fpsyg.2012.00449

PubMed Abstract | CrossRef Full Text | Google Scholar

Buchanan, T. W. (2007). Retrieval of emotional memories. Psychol. Bull. 133, 761–779. doi: 10.1037/0033-2909.133.5.761

PubMed Abstract | CrossRef Full Text | Google Scholar

Buchanan, T. W., and Adolphs, R. (2002). “The role of the human amygdala in emotional modulation of long-term declarative memory,” in Emotional Cognition: From Brain to Behaviour Advances in Consciousness Research, Vol. 44, eds S. C. Moore and M. Oaksford (Amsterdam: John Benjamins Publishing Company), 9–34.

PubMed Abstract | Google Scholar

Buhle, J. T., Silvers, J. A., Wager, T. D., Lopez, R., Onyemekwu, C., Kober, H., et al. (2014). Cognitive reappraisal of emotion: a meta-analysis of human neuroimaging studies. Cereb. Cortex 24, 2981–2990. doi: 10.1093/cercor/bht154

PubMed Abstract | CrossRef Full Text | Google Scholar

Burke, A., Heuer, F., and Reisberg, D. (1992). Remembering emotional events. Mem. Cognit. 20, 277–290. doi: 10.3758/BF03199665

CrossRef Full Text | Google Scholar

Cahill, L. (2003). Sex-related influences on the neurobiology of emotionally influenced memory. Ann. N. Y. Acad. Sci. 985, 163–173. doi: 10.1111/j.1749-6632.2003.tb07080.x

CrossRef Full Text | Google Scholar

Cahill, L., Gorski, L., Belcher, A., and Huynh, Q. (2004). The influence of sex versus sex-related traits on long-term memory for gist and detail from an emotional story. Conscious. Cogn. 13, 391–400. doi: 10.1016/j.concog.2003.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Cahill, L., Haier, R. J., White, N. S., Fallon, J., Kilpatrick, L., Lawrence, C., et al. (2001). Sex-related difference in amygdala activity during emotionally influenced memory storage. Neurobiol. Learn. Mem. 75, 1–9. doi: 10.1006/nlme.2000.3999

PubMed Abstract | CrossRef Full Text | Google Scholar

Cahill, L., and van Stegeren, A. (2003). Sex-related impairment of memory for emotional events with beta-adrenergic blockade. Neurobiol. Learn. Mem. 79, 81–88. doi: 10.1016/S1074-7427(02)00019-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Canli, T., Desmond, J. E., Zhao, Z., and Gabrieli, J. D. (2002a). Sex differences in the neural basis of emotional memories. Proc. Natl. Acad. Sci. U.S.A. 99, 10789–10794.

PubMed Abstract | Google Scholar

Canli, T., Sivers, H., Whitfield, S. L., Gotlib, I. H., and Gabrieli, J. D. (2002b). Amygdala response to happy faces as a function of extraversion. Science 296, 2191. doi: 10.1126/science.1068749

PubMed Abstract | CrossRef Full Text | Google Scholar

Canli, T., Zhao, Z., Brewer, J., Gabrieli, J. D., and Cahill, L. (2000). Event-related activation in the human amygdala associates with later memory for individual emotional experience. J. Neurosci. 20, RC99.

PubMed Abstract | Google Scholar

Carballedo, A., Doyle, M., Lavelle, G., Gormley, J., O’Keane, V., and Frodl, T. (2015). Affective network hyperconnectivity and hypoconnectivity of cognitive control and ventral attention networks in adults with high neuroticism scores. Eur. Psychiatry 30, 28–31. doi: 10.1016/S0924-9338(15)30207-8

CrossRef Full Text | Google Scholar

Cassidy, B. S., Leshikar, E. D., Shih, J. Y., Aizenman, A., and Gutchess, A. H. (2013). Valence-based age differences in medial prefrontal activity during impression formation. Soc. Neurosci. 8, 462–473. doi: 10.1080/17470919.2013.832373

PubMed Abstract | CrossRef Full Text | Google Scholar

Charles, S. T., Mather, M., and Carstensen, L. L. (2003). Aging and emotional memory: the forgettable nature of negative images for older adults. J. Exp. Psychol. Gen. 132, 310–324. doi: 10.1037/0096-3445.132.2.310

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiu, Y.-C., Dolcos, F., Gonsalves, B. D., and Cohen, N. J. (2013). On opposing effects of emotion on contextual or relational memory. Front. Psychol. 4:103. doi: 10.3389/fpsyg.2013.00103

PubMed Abstract | CrossRef Full Text | Google Scholar

Christianson, S. A. (1992). Emotional stress and eyewitness memory: a critical review. Psychol. Bull. 112, 284–309. doi: 10.1037/0033-2909.112.2.284

PubMed Abstract | CrossRef Full Text | Google Scholar

Ciaramelli, E., Bernardi, F., and Moscovitch, M. (2013). Individualized Theory of Mind (iToM): when memory modulates empathy. Front. Psychol. 4:4. doi: 10.3389/fpsyg.2013.00004

PubMed Abstract | CrossRef Full Text | Google Scholar

Cisler, J. M., and Olatunji, B. O. (2012). Emotion regulation and anxiety disorders. Curr. Psychiatry Rep. 14, 182–187. doi: 10.1007/s11920-012-0262-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Cohen, N. J., Ryan, J., Hunt, C., Romine, L., Wszalek, T., and Nash, C. (1999). Hippocampal system and declarative (relational) memory: summarizing the data from functional neuroimaging studies. Hippocampus 9, 83–98. doi: 10.1002/(SICI)1098-1063(1999)9:1<83::AID-HIPO9>3.0.CO;2-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Collignon, O., Girard, S., Gosselin, F., Saint-Amour, D., Lepore, F., and Lassonde, M. (2010). Women process multisensory emotion expressions more efficiently than men. Neuropsychologia 48, 220–225. doi: 10.1016/j.neuropsychologia.2009.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Collins, J. A., and Olson, I. R. (2014). Beyond the FFA: the role of the ventral anterior temporal lobes in face processing. Neuropsychologia 61, 65–79. doi: 10.1016/j.neuropsychologia.2014.06.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Comblain, C., D’Argembeau, A., and Van der Linden, M. (2005). Phenomenal characteristics of autobiographical memories for emotional and neutral events in older and younger adults. Exp. Aging Res. 31, 173–189. doi: 10.1080/03610730590915010

PubMed Abstract | CrossRef Full Text | Google Scholar

Cunningham, W. A., and Brosch, T. (2012). Motivational salience: amygdala tuning from traits, needs, values, and goals. Curr. Dir. Psychol. Sci. 21, 54–59. doi: 10.1177/0963721411430832

CrossRef Full Text | Google Scholar

Cunningham, W. A., Van Bavel, J. J., and Johnsen, I. R. (2008). Affective flexibility: evaluative processing goals shape amygdala activity. Psychol. Sci. 19, 152–160. doi: 10.1111/j.1467-9280.2008.02061.x

PubMed Abstract | CrossRef Full Text | Google Scholar

D’Argembeau, A., and Van der Linden, M. (2004). Influence of affective meaning on memory for contextual information. Emotion 4, 173–188. doi: 10.1037/1528-3542.4.2.173

PubMed Abstract | CrossRef Full Text | Google Scholar

Davachi, L. (2006). Item, context and relational episodic encoding in humans. Curr. Opin. Neurobiol. 16, 693–700. doi: 10.1016/j.conb.2006.10.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, P. J. (1999). Gender differences in autobiographical memory for childhood emotional experiences. J. Pers. Soc. Psychol. 76, 498–510. doi: 10.1037/0022-3514.76.3.498

CrossRef Full Text | Google Scholar

Davis, S. W., Dennis, N. A., Daselaar, S. M., Fleck, M. S., and Cabeza, R. (2008). Que PASA? The posterior-anterior shift in aging. Cereb. Cortex 18, 1201–1209. doi: 10.1093/cercor/bhm155

PubMed Abstract | CrossRef Full Text | Google Scholar

Delgado, M. R., Beer, J. S., Fellows, L. K., Huettel, S. A., Platt, M. L., Quirk, G. J., et al. (2016). Viewpoints: dialogues on the functional role of the ventromedial prefrontal cortex. Nat. Neurosci. 19, 1545–1552. doi: 10.1038/nn.4438

PubMed Abstract | CrossRef Full Text | Google Scholar

Denkova, E., Dolcos, S., and Dolcos, F. (2012). Reliving emotional personal memories: affective biases linked to personality and sex-related differences. Emotion 12, 515–528. doi: 10.1037/a0026809

PubMed Abstract | CrossRef Full Text | Google Scholar

Denkova, E., Dolcos, S., and Dolcos, F. (2013a). The effect of retrieval focus and emotional valence on the inferior frontal cortex activity during autobiographical recollection. Front. Behav. Neurosci. 7:192. doi: 10.3389/fnbeh.2013.00192

PubMed Abstract | CrossRef Full Text | Google Scholar

Denkova, E., Dolcos, S., and Dolcos, F. (2013b). The effect of retrieval focus and emotional valence on the medial temporal lobe activity during autobiographical recollection. Front. Behav. Neurosci. 7:109. doi: 10.3389/fnbeh.2013.00109

PubMed Abstract | CrossRef Full Text | Google Scholar

Denkova, E., Dolcos, S., and Dolcos, F. (2015). Neural correlates of ‘distracting’ from emotion during autobiographical recollection. Soc. Cogn. Affect. Neurosci. 10, 219–230. doi: 10.1093/scan/nsu039

PubMed Abstract | CrossRef Full Text | Google Scholar

Depue, B. E., Banich, M. T., and Curran, T. (2006). Suppression of emotional and nonemotional content in memory: effects of repetition on cognitive control. Psychol. Sci. 17, 441–447. doi: 10.1111/j.1467-9280.2006.01725.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Depue, B. E., Curran, T., and Banich, M. T. (2007). Prefrontal regions orchestrate suppression of emotional memories via a two-phase process. Science 317, 215–219. doi: 10.1126/science.1139560

PubMed Abstract | CrossRef Full Text | Google Scholar

Desbordes, G., Negi, L. T., Pace, T. W., Wallace, B. A., Raison, C. L., and Schwartz, E. L. (2012). Effects of mindful-attention and compassion meditation training on amygdala response to emotional stimuli in an ordinary, non-meditative state. Front. Hum. Neurosci. 6:292. doi: 10.3389/fnhum.2012.00292

PubMed Abstract | CrossRef Full Text | Google Scholar

D’Esposito, M., Postle, B. R., and Rypma, B. (2000). Prefrontal cortical contributions to working memory: evidence from event-related fMRI studies. Exp. Brain Res. 133, 3–11. doi: 10.1007/s002210000395

PubMed Abstract | CrossRef Full Text | Google Scholar

Diana, R. A., Van den Boom, W., Yonelinas, A. P., and Ranganath, C. (2011). ERP correlates of source memory: unitized source information increases familiarity-based retrieval. Brain Res. 1367, 278–286. doi: 10.1016/j.brainres.2010.10.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Dillon, D. G., Ritchey, M., Johnson, B. D., and LaBar, K. S. (2007). Dissociable effects of conscious emotion regulation strategies on explicit and implicit memory. Emotion 7, 354–365. doi: 10.1037/1528-3542.7.2.354

PubMed Abstract | CrossRef Full Text | Google Scholar

Doerksen, S., and Shimamura, A. P. (2001). Source memory enhancement for emotional words. Emotion 1, 5–11. doi: 10.1037/1528-3542.1.1.5

CrossRef Full Text | Google Scholar

Dolcos, F. (2013). Linking enhancing and impairing effects of emotion – The case of PTSD. Front. Integr. Neurosci. 7:26. doi: 10.3389/fnint.2013.00026

CrossRef Full Text | Google Scholar

Dolcos, F. (2014). The fast and the slow sides of cortisol’s effects on emotional interference and sustained attention. Front. Neurosci. 8:268. doi: 10.3389/fnins.2014.00268

CrossRef Full Text | Google Scholar

Dolcos, F., and Denkova, E. (2008). Neural correlates of encoding emotional memories: a review of functional neuroimaging evidence. Cell Sci. Rev. 5, 78–122.

Google Scholar

Dolcos, F., and Denkova, E. (2014). Current emotion research in cognitive neuroscience: linking enhancing and impairing effects of emotion on cognition. Emot. Rev. 6, 362–375. doi: 10.1177/1754073914536449

CrossRef Full Text | Google Scholar

Dolcos, F., and Denkova, E. (2015). “Dissociating enhancing and impairing effects of emotion on cognition,” in Emerging Trends in the Social and Behavioral Sciences: An Interdisciplinary, Searchable, and Linkable Resource, eds R. A. Scott, S. M. Kosslyn, and M. C. Buchmann (Hoboken, NJ: John Wiley & Sons), 1–18. doi: 10.3389/978-2-88919-438-4

CrossRef Full Text | Google Scholar

Dolcos, F., Denkova, E., and Dolcos, S. (2012). Neural correlates of emotional memories: a review of evidence from brain imaging studies. Psychologia 55, 80–111. doi: 10.2117/psysoc.2012.80

PubMed Abstract | CrossRef Full Text | Google Scholar

Dolcos, F., Iordan, A., Kragel, J., Stokes, J., Campbell, R., McCarthy, G., et al. (2013). Neural correlates of opposing effects of emotional distraction on working memory and episodic memory: an event related fMRI investigation. Front. Psychol. 4:293. doi: 10.3389/fpsyg.2013.00293

PubMed Abstract | CrossRef Full Text | Google Scholar

Dolcos, F., Iordan, A. D., and Dolcos, S. (2011). Neural correlates of emotion-cognition interactions: a review of evidence from brain imaging investigations. J. Cogn. Psychol. 23, 669–694. doi: 10.1080/20445911.2011.594433

PubMed Abstract | CrossRef Full Text | Google Scholar

Dolcos, F., Kragel, P., Wang, L., and McCarthy, G. (2006). Role of the inferior frontal cortex in coping with distracting emotions. Neuroreport 17, 1591–1594. doi: 10.1097/01.wnr.0000236860.24081.be

PubMed Abstract | CrossRef Full Text | Google Scholar

Dolcos, F., LaBar, K. S., and Cabeza, R. (2004a). Dissociable effects of arousal and valence on prefrontal activity indexing emotional evaluation and subsequent memory: an event-related fMRI study. Neuroimage 23, 64–74.

PubMed Abstract | Google Scholar

Dolcos, F., LaBar, K. S., and Cabeza, R. (2004b). Interaction between the amygdala and the medial temporal lobe memory system predicts better memory for emotional events. Neuron 42, 855–863.

PubMed Abstract | Google Scholar

Dolcos, F., LaBar, K. S., and Cabeza, R. (2005). Remembering one year later: role of the amygdala and the medial temporal lobe memory system in retrieving emotional memories. Proc. Natl. Acad. Sci. U.S.A. 102, 2626–2631. doi: 10.1073/pnas.0409848102

PubMed Abstract | CrossRef Full Text | Google Scholar

Dolcos, F., Katsumi, Y., Denkova, E., Weymar, M., and Dolcos, S. (2017). “Current issues and emerging directions in the impact of emotion on memory: a review of evidence from brain imaging investigations,” in Memory in Social Context, eds T. Tsukiura and S. Umeda (Berlin: Springer).

Dolcos, S., Katsumi, Y., and Dixon, R. A. (2014). The role of arousal in the spontaneous regulation of emotions in healthy aging: a fMRI investigation. Front. Psychol. 5:681. doi: 10.3389/fpsyg.2014.00681

PubMed Abstract | CrossRef Full Text | Google Scholar

Domes, G., Schulze, L., Bottger, M., Grossmann, A., Hauenstein, K., Wirtz, P. H., et al. (2010). The neural correlates of sex differences in emotional reactivity and emotion regulation. Hum. Brain Mapp. 31, 758–769. doi: 10.1002/hbm.20903

PubMed Abstract | CrossRef Full Text | Google Scholar

Dorfel, D., Lamke, J. P., Hummel, F., Wagner, U., Erk, S., and Walter, H. (2014). Common and differential neural networks of emotion regulation by detachment, reinterpretation, distraction, and expressive suppression: a comparative fMRI investigation. Neuroimage 101, 298–309. doi: 10.1016/j.neuroimage.2014.06.051

PubMed Abstract | CrossRef Full Text | Google Scholar

Dougal, S., Phelps, E. A., and Davachi, L. (2007). The role of medial temporal lobe in item recognition and source recollection of emotional stimuli. Cogn. Affect. Behav. Neurosci. 7, 233–242. doi: 10.3758/CABN.7.3.233

PubMed Abstract | CrossRef Full Text | Google Scholar

Drabant, E. M., McRae, K., Manuck, S. B., Hariri, A. R., and Gross, J. J. (2009). Individual differences in typical reappraisal use predict amygdala and prefrontal responses. Biol. Psychiatry 65, 367–373. doi: 10.1016/j.biopsych.2008.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Dunn, B. D., Billotti, D., Murphy, V., and Dalgleish, T. (2009). The consequences of effortful emotion regulation when processing distressing material: a comparison of suppression and acceptance. Behav. Res. Ther. 47, 761–773. doi: 10.1016/j.brat.2009.05.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Easterbrook, J. A. (1959). The effect of emotion on cue utilization and the organization of behavior. Psychol. Rev. 66, 183–201. doi: 10.1037/h0047707

CrossRef Full Text | Google Scholar

Ebner, N. C., and Johnson, M. K. (2009). Young and older emotional faces: are there age group differences in expression identification and memory? Emotion 9, 329–339. doi: 10.1037/a0015179

PubMed Abstract | CrossRef Full Text | Google Scholar

Edelson, M., Sharot, T., Dolan, R. J., and Dudai, Y. (2011). Following the crowd: brain substrates of long-term memory conformity. Science 333, 108–111. doi: 10.1126/science.1203557

PubMed Abstract | CrossRef Full Text | Google Scholar

Eden, A. S., Dehmelt, V., Bischoff, M., Zwitserlood, P., Kugel, H., Keuper, K., et al. (2015). Brief learning induces a memory bias for arousing-negative words: an fMRI study in high and low trait anxious persons. Front. Psychol. 6:1226. doi: 10.3389/fpsyg.2015.01226

PubMed Abstract | CrossRef Full Text | Google Scholar

Ehring, T., and Quack, D. (2010). Emotion regulation difficulties in trauma survivors: the role of trauma type and PTSD symptom severity. Behav. Ther. 41, 587–598. doi: 10.1016/j.beth.2010.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Eippert, F., Veit, R., Weiskopf, N., Erb, M., Birbaumer, N., and Anders, S. (2007). Regulation of emotional responses elicited by threat-related stimuli. Hum. Brain Mapp. 28, 409–423. doi: 10.1002/hbm.20291

PubMed Abstract | CrossRef Full Text | Google Scholar

Erk, S., Martin, S., and Walter, H. (2005). Emotional context during encoding of neutral items modulates brain activation not only during encoding but also during recognition. Neuroimage 26, 829–838. doi: 10.1016/j.neuroimage.2005.02.045

PubMed Abstract | CrossRef Full Text | Google Scholar

Erk, S., von Kalckreuth, A., and Walter, H. (2010). Neural long-term effects of emotion regulation on episodic memory processes. Neuropsychologia 48, 989–996. doi: 10.1016/j.neuropsychologia.2009.11.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Eysenck, M. W., Derakshan, N., Santos, R., and Calvo, M. G. (2007). Anxiety and cognitive performance: attentional control theory. Emotion 7, 336–353. doi: 10.1037/1528-3542.7.2.336

PubMed Abstract | CrossRef Full Text | Google Scholar

Fabiani, M. (2012). It was the best of times, it was the worst of times: a psychophysiologist’s view of cognitive aging. Psychophysiology 49, 283–304. doi: 10.1111/j.1469-8986.2011.01331.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Fabiansson, E. C., Denson, T. F., Moulds, M. L., Grisham, J. R., and Schira, M. M. (2012). Don’t look back in anger: neural correlates of reappraisal, analytical rumination, and angry rumination during recall of an anger-inducing autobiographical memory. Neuroimage 59, 2974–2981. doi: 10.1016/j.neuroimage.2011.09.078

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernandes, M., Ross, M., Wiegand, M., and Schryer, E. (2008). Are the memories of older adults positively biased? Psychol. Aging 23, 297–306. doi: 10.1037/0882-7974.23.2.297

PubMed Abstract | CrossRef Full Text | Google Scholar

Fischer, H., Sandblom, J., Nyberg, L., Herlitz, A., and Backman, L. (2007). Brain activation while forming memories of fearful and neutral faces in women and men. Emotion 7, 767–773. doi: 10.1037/1528-3542.7.4.767

PubMed Abstract | CrossRef Full Text | Google Scholar

Fitzgerald, D. A., Arnold, J. F., Becker, E. S., Speckens, A. E., Rinck, M., Rijpkema, M., et al. (2011). How mood challenges emotional memory formation: an fMRI investigation. Neuroimage 56, 1783–1790. doi: 10.1016/j.neuroimage.2011.02.061

PubMed Abstract | CrossRef Full Text | Google Scholar

Flor, H., and Nees, F. (2014). Learning, memory and brain plasticity in posttraumatic stress disorder: context matters. Restor. Neurol. Neurosci. 32, 95–102. doi: 10.3233/RNN-139013

PubMed Abstract | CrossRef Full Text | Google Scholar

Flores, L. E., and Berenbaum, H. (2017). The effect of the social regulation of emotion on emotional long-term memory. Emotion 17, 547–556. doi: 10.1037/emo0000259

PubMed Abstract | CrossRef Full Text | Google Scholar

Gagnepain, P., Henson, R. N., and Anderson, M. C. (2014). Suppressing unwanted memories reduces their unconscious influence via targeted cortical inhibition. Proc. Natl. Acad. Sci. U.S.A. 111, E1310–E1319. doi: 10.1073/pnas.1311468111

PubMed Abstract | CrossRef Full Text | Google Scholar

Gilron, R., and Gutchess, A. H. (2012). Remembering first impressions: effects of intentionality and diagnosticity on subsequent memory. Cogn. Affect. Behav. Neurosci. 12, 85–98. doi: 10.3758/s13415-011-0074-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Goldin, P. R., McRae, K., Ramel, W., and Gross, J. J. (2008). The neural bases of emotion regulation: reappraisal and suppression of negative emotion. Biol. Psychiatry 63, 577–586. doi: 10.1016/j.biopsych.2007.05.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Graf, P., and Schacter, D. L. (1989). Unitization and grouping mediate dissociations in memory for new associations. J. Exp. Psychol. 15, 930–940. doi: 10.1037/0278-7393.15.5.930

CrossRef Full Text | Google Scholar

Grecucci, A., Theuninck, A., Frederickson, J., and Job, R. (2015). “Mechanisms of social emotion regulation: from neuroscience to psychotherapy,” in Emotion Regulation: Processes, Cognitive Effects and Social Consequences, ed. M. L. Bryant (New York, NY: Nova Science Publishers), 57–84.

Google Scholar

Greenberg, D. L., Rice, H. J., Cooper, J. J., Cabeza, R., Rubin, D. C., and LaBar, K. S. (2005). Co-activation of the amygdala, hippocampus and inferior frontal gyrus during autobiographical memory retrieval. Neuropsychologia 43, 659–674. doi: 10.1016/j.neuropsychologia.2004.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Gross, J. J. (2002). Emotion regulation: affective, cognitive, and social consequences. Psychophysiology 39, 281–291. doi: 10.1017/S0048577201393198

CrossRef Full Text | Google Scholar

Gross, J. J. (2008). “Emotion regulation,” in Handbook of Emotions, eds M. Lewis, J. M. Haviland-Jones, and L. F. Barrett (New York, NY: Guilford), 497–512.

Google Scholar

Gross, J. J., Carstensen, L. L., Pasupathi, M., Tsai, J., Skorpen, C. G., and Hsu, A. Y. (1997). Emotion and aging: experience, expression, and control. Psychol. Aging 12, 590–599. doi: 10.1037/0882-7974.12.4.590

CrossRef Full Text | Google Scholar

Gross, J. J., and John, O. P. (2003). Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J. Pers. Soc. Psychol. 85, 348–362. doi: 10.1037/0022-3514.85.2.348

CrossRef Full Text | Google Scholar

Guillet, R., and Arndt, J. (2009). Taboo words: the effect of emotion on memory for peripheral information. Mem. Cogn. 37, 866–879. doi: 10.3758/MC.37.6.866

PubMed Abstract | CrossRef Full Text | Google Scholar

Gutchess, A. H., Sokal, R., Coleman, J. A., Gotthilf, G., Grewal, L., and Rosa, N. (2015). Age differences in self-referencing: evidence for common and distinct encoding strategies. Brain Res. 1612, 118–127. doi: 10.1016/j.brainres.2014.08.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Haas, B. W., and Canli, T. (2008). Emotional memory function, personality structure and psychopathology: a neural system approach to the identification of vulnerability markers. Brain Res. Rev. 58, 71–84. doi: 10.1016/j.brainresrev.2007.10.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Hall, J. A., and Matsumoto, D. (2004). Gender differences in judgments of multiple emotions from facial expressions. Emotion 4, 201–206. doi: 10.1037/1528-3542.4.2.201

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamann, S. (2005). Sex differences in the responses of the human amygdala. Neuroscientist 11, 288–293. doi: 10.1177/1073858404271981

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamann, S., and Canli, T. (2004). Individual differences in emotion processing. Curr. Opin. Neurobiol. 14, 233–238. doi: 10.1016/j.conb.2004.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamann, S. B., Ely, T. D., Grafton, S. T., and Kilts, C. D. (1999). Amygdala activity related to enhanced memory for pleasant and aversive stimuli. Nat. Neurosci. 2, 289–293. doi: 10.1038/6404

PubMed Abstract | CrossRef Full Text | Google Scholar

Harvey, A. G., Bryant, R. A., and Dang, S. T. (1998). Autobiographical memory in acute stress disorder. J. Consult. Clin. Psychol. 66, 500–506. doi: 10.1037/0022-006X.66.3.500

CrossRef Full Text | Google Scholar

Harvey, P. O., Fossati, P., and Lepage, M. (2007). Modulation of memory formation by stimulus content: specific role of the medial prefrontal cortex in the successful encoding of social pictures. J. Cogn. Neurosci. 19, 351–362. doi: 10.1162/jocn.2007.19.2.351

PubMed Abstract | CrossRef Full Text | Google Scholar

Haskins, A. L., Yonelinas, A. P., Quamme, J. R., and Ranganath, C. (2008). Perirhinal cortex supports encoding and familiarity-based recognition of novel associations. Neuron 59, 554–560. doi: 10.1016/j.neuron.2008.07.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayes, J. P., LaBar, K. S., McCarthy, G., Selgrade, E., Nasser, J., Dolcos, F., et al. (2011). Reduced hippocampal and amygdala activity predicts memory distortions for trauma reminders in combat-related PTSD. J. Psychiatr. Res. 45, 660–669. doi: 10.1016/j.jpsychires.2010.10.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayes, J. P., Morey, R. A., Petty, C. M., Seth, S., Smoski, M. J., McCarthy, G., et al. (2010). Staying cool when things get hot: emotion regulation modulates neural mechanisms of memory encoding. Front. Hum. Neurosci. 4:230. doi: 10.3389/fnhum.2010.00230

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayes, J. P., Van Elzakker, M. B., and Shin, L. M. (2012). Emotion and cognition interactions in PTSD: a review of neurocognitive and neuroimaging studies. Front. Integr. Neurosci. 6:89. doi: 10.3389/fnint.2012.00089

PubMed Abstract | CrossRef Full Text | Google Scholar

He, Y., Xu, T., Zhang, W., and Zuo, X. N. (2016). Lifespan anxiety is reflected in human amygdala cortical connectivity. Hum. Brain Mapp. 37, 1178–1193. doi: 10.1002/hbm.23094

PubMed Abstract | CrossRef Full Text | Google Scholar

Heeren, A., Van Broeck, N., and Philippot, P. (2009). The effects of mindfulness on executive processes and autobiographical memory specificity. Behav. Res. Ther. 47, 403–409. doi: 10.1016/j.brat.2009.01.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Heinzel, A., and Northoff, G. (2009). Emotional feeling and the orbitomedial prefrontal cortex: theoretical and empirical considerations. Philos. Psychol. 22, 443–464. doi: 10.1080/09515080903153592

CrossRef Full Text | Google Scholar

Henckens, M. J. A. G., Hermans, E. J., Pu, Z., Joëls, M., and Fernández, G. (2009). Stressed memories: how acute stress affects memory formation in humans. J. Neurosci. 29, 10111–10119. doi: 10.1523/JNEUROSCI.1184-09.2009

CrossRef Full Text | Google Scholar

Henson, R. N., Campbell, K. L., Davis, S. W., Taylor, J. R., Emery, T., Erzinclioglu, S., et al. (2016). Multiple determinants of lifespan memory differences. Sci. Rep. 6:32527. doi: 10.1038/srep32527

PubMed Abstract | CrossRef Full Text | Google Scholar

Hermann, A., Bieber, A., Keck, T., Vaitl, D., and Stark, R. (2014). Brain structural basis of cognitive reappraisal and expressive suppression. Soc. Cogn. Affect. Neurosci. 9, 1435–1442. doi: 10.1093/scan/nst130

PubMed Abstract | CrossRef Full Text | Google Scholar

Hermans, E. J., Henckens, M. J., Joëls, M., and Fernández, G. (2014). Dynamic adaptation of large-scale brain networks in response to acute stressors. Trends Neurosci. 37, 304–314. doi: 10.1016/j.tins.2014.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Holland, A. C., and Kensinger, E. A. (2013). The neural correlates of cognitive reappraisal during emotional autobiographical memory recall. J. Cogn. Neurosci. 25, 87–108. doi: 10.1162/jocn_a_00289

PubMed Abstract | CrossRef Full Text | Google Scholar

Hooker, C. I., Verosky, S. C., Miyakawa, A., Knight, R. T., and D’Esposito, M. (2008). The influence of personality on neural mechanisms of observational fear and reward learning. Neuropsychologia 46, 2709–2724. doi: 10.1016/j.neuropsychologia.2008.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Iordan, A. D. (2016). The Impact of Emotional Distraction on Cognition: From Basic Brain Responses to Large-Scale Network Interactions. Doctoral dissertation, University of Illinois at Urbana-Champaign, Champaign, IL.

Google Scholar

Jackson, J., Balota, D. A., and Head, D. (2011). Exploring the relationship between personality and regional brain volume in healthy aging. Neurobiol. Aging 32, 2162–2171. doi: 10.1016/j.neurobiolaging.2009.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Jaeger, A., Johnson, J. D., Corona, M., and Rugg, M. D. (2009). ERP correlates of the incidental retrieval of emotional information: effects of study-test delay. Brain Res. 1269, 105–113. doi: 10.1016/j.brainres.2009.02.082

PubMed Abstract | CrossRef Full Text | Google Scholar

Jaeger, A., and Rugg, M. D. (2012). Implicit effects of emotional contexts: an ERP study. Cogn. Affect. Behav. Neurosci. 12, 748–760. doi: 10.3758/s13415-012-0110-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Jing, H. G., Madore, K. P., and Schacter, D. L. (2016). Worrying about the future: an episodic specificity induction impacts problem solving, reappraisal, and well-being. J. Exp. Psychol. 145, 402–418. doi: 10.1037/xge0000142

PubMed Abstract | CrossRef Full Text | Google Scholar

Joëls, M., Fernandez, G., and Roozendaal, B. (2011). Stress and emotional memory: a matter of timing. Trends Cogn. Sci. 15, 280–288. doi: 10.1016/j.tics.2011.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnstone, T., van Reekum, C. M., Urry, H. L., Kalin, N. H., and Davidson, R. J. (2007). Failure to regulate: counterproductive recruitment of top-down prefrontal-subcortical circuitry in major depression. J. Neurosci. 27, 8877–8884. doi: 10.1523/JNEUROSCI.2063-07.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

Kalokerinos, E. K., Greenaway, K. H., and Denson, T. F. (2015). Reappraisal but not suppression downregulates the experience of positive and negative emotion. Emotion 15, 271–275. doi: 10.1037/emo0000025

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaneda, T., Shigemune, Y., and Tsukiura, T. (2017). Lateral and medial prefrontal contributions to emotion generation by semantic elaboration during episodic encoding. Cogn. Affect. Behav. Neurosci. 17, 143–157. doi: 10.3758/s13415-016-0468-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanske, P., Heissler, J., Schonfelder, S., Bongers, A., and Wessa, M. (2011). How to regulate emotion? Neural networks for reappraisal and distraction. Cereb. Cortex 21, 1379–1388. doi: 10.1093/cercor/bhq216

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaspi, S., McNally, R., and Amir, N. (1995). Cognitive processing of emotional information in posttraumatic stress disorder. Cogn. Ther. Res. 19, 433–444. doi: 10.1007/BF02230410

CrossRef Full Text | Google Scholar

Katsumi, Y., Denkova, E., and Dolcos, S. (2017). “Personality and memory,” in Encyclopedia of Personality and Individual Differences, eds V. Zeigler-Hill and T. K. Shackelford (New York, NY: Springer International Publishing), 1–9. doi: 10.1007/978-3-319-28099-8_992-1

CrossRef Full Text | Google Scholar

Keightley, M. L., Winocur, G., Burianova, H., Hongwanishkul, D., and Grady, C. L. (2006). Age effects on social cognition: faces tell a different story. Psychol. Aging 21, 558–572. doi: 10.1037/0882-7974.21.3.558

PubMed Abstract | CrossRef Full Text | Google Scholar

Kennedy, Q., Mather, M., and Carstensen, L. L. (2004). The role of motivation in the age-related positivity effect in autobiographical memory. Psychol. Sci. 15, 208–214. doi: 10.1111/j.0956-7976.2004.01503011.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kensinger, E. A. (2004). Remembering emotional experiences: the contribution of valence and arousal. Rev. Neurosci. 15, 241–251. doi: 10.1515/REVNEURO.2004.15.4.241

CrossRef Full Text | Google Scholar

Kensinger, E. A. (2009). Remembering the details: effects of emotion. Emot. Rev. 1, 99–113. doi: 10.1177/1754073908100432

PubMed Abstract | CrossRef Full Text | Google Scholar

Kensinger, E. A., and Corkin, S. (2004). Two routes to emotional memory: distinct neural processes for valence and arousal. Proc. Natl. Acad. Sci. U.S.A. 101, 3310–3315. doi: 10.1073/pnas.0306408101

PubMed Abstract | CrossRef Full Text | Google Scholar

Kensinger, E. A., Garoff-Eaton, R. J., and Schacter, D. L. (2007a). Effects of emotion on memory specificity: memory trade-offs elicited by negative visually arousing stimuli. J. Mem. Lang. 56, 575–591. doi: 10.1016/j.jml.2006.05.004

CrossRef Full Text | Google Scholar

Kensinger, E. A., Gutchess, A. H., and Schacter, D. L. (2007b). Effects of aging and encoding instructions on emotion-induced memory trade-offs. Psychol. Aging 22, 781–795. doi: 10.1037/0882-7974.22.4.781

PubMed Abstract | CrossRef Full Text | Google Scholar

Kensinger, E. A., Piguet, O., Krendl, A. C., and Corkin, S. (2005). Memory for contextual details: effects of emotion and aging. Psychol. Aging 20, 241–250. doi: 10.1037/0882-7974.20.2.241

PubMed Abstract | CrossRef Full Text | Google Scholar

Kensinger, E. A., and Schacter, D. L. (2005). Retrieving accurate and distorted memories: neuroimaging evidence for effects of emotion. Neuroimage 27, 167–177. doi: 10.1016/j.neuroimage.2005.03.038

PubMed Abstract | CrossRef Full Text | Google Scholar

Kensinger, E. A., and Schacter, D. L. (2006a). Amygdala activity is associated with the successful encoding of item, but not source, information for positive and negative stimuli. J. Neurosci. 26, 2564–2570.

PubMed Abstract | Google Scholar

Kensinger, E. A., and Schacter, D. L. (2006b). Processing emotional pictures and words: effects of valence and arousal. Cogn. Affect. Behav. Neurosci. 6, 110–126.

Google Scholar

Kensinger, E. A., and Schacter, D. L. (2008). Neural processes supporting young and older adults’ emotional memories. J. Cogn. Neurosci. 20, 1161–1173. doi: 10.1162/jocn.2008.20080

PubMed Abstract | CrossRef Full Text | Google Scholar

Kessler, R. C. (2003). Epidemiology of women and depression. J. Affect. Disord. 74, 5–13. doi: 10.1016/S0165-0327(02)00426-3

CrossRef Full Text | Google Scholar

Kilpatrick, L., and Cahill, L. (2003). Amygdala modulation of parahippocampal and frontal regions during emotionally influenced memory storage. Neuroimage 20, 2091–2099. doi: 10.1016/j.neuroimage.2003.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, S. H., and Hamann, S. (2012). The effect of cognitive reappraisal on physiological reactivity and emotional memory. Int. J. Psychophysiol. 83, 348–356. doi: 10.1016/j.ijpsycho.2011.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Kleinhans, N. M., Johnson, L. C., Mahurin, R., Richards, T., Stegbauer, K. C., Greenson, J., et al. (2007). Increased amygdala activation to neutral faces is associated with better face memory performance. Neuroreport 18, 987–991. doi: 10.1097/WNR.0b013e328165d189

PubMed Abstract | CrossRef Full Text | Google Scholar

Konkel, A., and Cohen, N. J. (2009). Relational memory and the hippocampus: representations and methods. Front. Neurosci. 3, 166–174. doi: 10.3389/neuro.01.023.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Kross, E., Davidson, M. L., Weber, M., and Ochsner, K. (2009). Coping with emotions past: the neural bases of regulating affect associated with negative autobiographical memories. Biol. Psychiatry 65, 361–366. doi: 10.1016/j.biopsych.2008.10.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Kupper, C. S., Benoit, R. G., Dalgleish, T., and Anderson, M. C. (2014). Direct suppression as a mechanism for controlling unpleasant memories in daily life. J. Exp. Psychol. 143, 1443–1449. doi: 10.1037/a0036518

PubMed Abstract | CrossRef Full Text | Google Scholar

LaBar, K. S., and Cabeza, R. (2006). Cognitive neuroscience of emotional memory. Nat. Rev. Neurosci. 7, 54–64. doi: 10.1038/nrn1825

PubMed Abstract | CrossRef Full Text | Google Scholar

Lang, P. J., Greenwald, M. K., Bradley, M. M., and Hamm, A. O. (1993). Looking at pictures: affective, facial, visceral, and behavioral reactions. Psychophysiology 30, 261–273. doi: 10.1111/j.1469-8986.1993.tb03352.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Laurita, A. C., and Spreng, R. N. (2017). “The hippocampus and social cognition,” in The Hippocampus From Cells to Systems: Structure, Connectivity, and Functional Contributions to Memory and Flexible Cognition, eds D. E. Hannula and M. C. Duff (Cham: Springer International Publishing), 537–558. doi: 10.1007/978-3-319-50406-3_17

CrossRef Full Text | Google Scholar

LeDoux, J. (2007). The amygdala. Curr. Biol. 17, R868–R874. doi: 10.1016/j.cub.2007.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, T. H., Sakaki, M., Cheng, R., Velasco, R., and Mather, M. (2014). Emotional arousal amplifies the effects of biased competition in the brain. Soc. Cogn. Affect. Neurosci. 9, 2067–2077. doi: 10.1093/scan/nsu015

PubMed Abstract | CrossRef Full Text | Google Scholar

Lewis, P. A., Critchley, H. D., Smith, A. P., and Dolan, R. J. (2005). Brain mechanisms for mood congruent memory facilitation. Neuroimage 25, 1214–1223. doi: 10.1016/j.neuroimage.2004.11.053

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, W., Mai, X., and Liu, C. (2014). The default mode network and social understanding of others: what do brain connectivity studies tell us. Front. Hum. Neurosci. 8:74. doi: 10.3389/fnhum.2014.00074

PubMed Abstract | CrossRef Full Text | Google Scholar

Lieberman, M. D., Eisenberger, N. I., Crockett, M. J., Tom, S. M., Pfeifer, J. H., and Way, B. M. (2007). Putting feelings into words: affect labeling disrupts amygdala activity in response to affective stimuli. Psychol. Sci. 18, 421–428. doi: 10.1111/j.1467-9280.2007.01916.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, F., Cui, L., and Zhang, Q. (2015). The influences of reappraisal and suppression instructions on memory for neutral words in negative background. Neuroreport 26, 1023–1031. doi: 10.1097/WNR.0000000000000462

PubMed Abstract | CrossRef Full Text | Google Scholar

Llewellyn, N., Dolcos, S., Iordan, A. D., Rudolph, K. D., and Dolcos, F. (2013). Reappraisal and suppression mediate the contribution of regulatory focus to anxiety in healthy adults. Emotion 13, 610–615. doi: 10.1037/a0032568

PubMed Abstract | CrossRef Full Text | Google Scholar

Luck, D., Leclerc, M.-E., and Lepage, M. (2014). The potentiation of associative memory by emotions: an event-related fMRI study. Adv. Neurosci. 2014:9. doi: 10.1155/2014/964024

CrossRef Full Text | Google Scholar

Mackiewicz, K. L., Sarinopoulos, I., Cleven, K. L., and Nitschke, J. B. (2006). The effect of anticipation and the specificity of sex differences for amygdala and hippocampus function in emotional memory. Proc. Natl. Acad. Sci. U.S.A. 103, 14200–14205. doi: 10.1073/pnas.0601648103

PubMed Abstract | CrossRef Full Text | Google Scholar

Macrae, C. N., Moran, J. M., Heatherton, T. F., Banfield, J. F., and Kelley, W. M. (2004). Medial prefrontal activity predicts memory for self. Cereb. Cortex 14, 647–654. doi: 10.1093/cercor/bhh025

PubMed Abstract | CrossRef Full Text | Google Scholar

Madore, K. P., Addis, D. R., and Schacter, D. L. (2015). Creativity and memory: effects of an episodic-specificity induction on divergent thinking. Psychol. Sci. 26, 1461–1468. doi: 10.1177/0956797615591863

PubMed Abstract | CrossRef Full Text | Google Scholar

Madore, K. P., and Schacter, D. L. (2016). Remembering the past and imagining the future: selective effects of an episodic specificity induction on detail generation. Q. J. Exp. Psychol. 69, 285–298. doi: 10.1080/17470218.2014.999097

PubMed Abstract | CrossRef Full Text | Google Scholar

Mak, A. K., Hu, Z. G., Zhang, J. X., Xiao, Z., and Lee, T. M. (2009). Sex-related differences in neural activity during emotion regulation. Neuropsychologia 47, 2900–2908. doi: 10.1016/j.neuropsychologia.2009.06.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Mano, Y., Sugiura, M., Tsukiura, T., Chiao, J. Y., Yomogida, Y., Jeong, H., et al. (2011). The representation of social interaction in episodic memory: a functional MRI study. Neuroimage 57, 1234–1242. doi: 10.1016/j.neuroimage.2011.05.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Maratos, E. J., Dolan, R. J., Morris, J. S., Henson, R. N., and Rugg, M. D. (2001). Neural activity associated with episodic memory for emotional context. Neuropsychologia 39, 910–920. doi: 10.1016/S0028-3932(01)00025-2

CrossRef Full Text | Google Scholar

Maren, S., Phan, K. L., and Liberzon, I. (2013). The contextual brain: implications for fear conditioning, extinction and psychopathology. Nat. Rev. Neurosci. 14, 417–428. doi: 10.1038/nrn3492

PubMed Abstract | CrossRef Full Text | Google Scholar

Markowitsch, H. J., Thiel, A., Reinkemeier, M., Kessler, J., Koyuncu, A., and Heiss, W. D. (2000). Right amygdalar and temporofrontal activation during autobiographic, but not during fictitious memory retrieval. Behav. Neurol. 12, 181–190. doi: 10.1155/2000/303651

PubMed Abstract | CrossRef Full Text | Google Scholar

Markowitsch, H. J., Vandekerckhove, M. M., Lanfermann, H., and Russ, M. O. (2003). Engagement of lateral and medial prefrontal areas in the ecphory of sad and happy autobiographical memories. Cortex 39, 643–665. doi: 10.1016/S0010-9452(08)70858-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Mather, M. (2006). “Why memories may become more positive as people age,” in Memory and Emotion: Interdisciplinary Perspectives, eds B. Uttl, N. Ohta, and A. L. Siegenthaler (Hoboken, NJ: Blackwell Publishing), 135–159.

Google Scholar

Mather, M. (2007). Emotional arousal and memory binding: an object-based framework. Perspect. Psychol. Sci. 2, 33–52. doi: 10.1111/j.1745-6916.2007.00028.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Mather, M. (2016). The affective neuroscience of aging. Annu. Rev. Psychol. 67, 213–238. doi: 10.1146/annurev-psych-122414-033540

PubMed Abstract | CrossRef Full Text | Google Scholar

Mather, M., Clewett, D., Sakaki, M., and Harley, C. W. (2015). Norepinephrine ignites local hot spots of neuronal excitation: how arousal amplifies selectivity in perception and memory. Behav. Brain Sci. 39:e200. doi: 10.1017/S0140525X15000667

PubMed Abstract | CrossRef Full Text

Mather, M., and Knight, M. (2005). Goal-directed memory: the role of cognitive control in older adults’ emotional memory. Psychol. Aging 20, 554–570. doi: 10.1037/0882-7974.20.4.554

PubMed Abstract | CrossRef Full Text | Google Scholar

Mather, M., and Knight, M. (2008). The emotional harbinger effect: poor context memory for cues that previously predicted something arousing. Emotion 8, 850–860. doi: 10.1037/a0014087

PubMed Abstract | CrossRef Full Text | Google Scholar

Mather, M., and Nesmith, K. (2008). Arousal-enhanced location memory for pictures. J. Mem. Lang. 58, 449–464. doi: 10.1016/j.jml.2007.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Mather, M., and Sutherland, M. R. (2011). Arousal-biased competition in perception and memory. Perspect. Psychol. Sci. 6, 114–133. doi: 10.1177/1745691611400234

PubMed Abstract | CrossRef Full Text | Google Scholar

Mayo, P. R. (1983). Personality traits and the retrieval of positive and negative memories. Pers. Individ. Diff. 4, 465–471. doi: 10.1016/0191-8869(83)90076-4

CrossRef Full Text | Google Scholar

McFarland, C. P., Primosch, M., Maxson, C. M., and Stewart, B. T. (2017). Enhancing memory and imagination improves problem solving among individuals with depression. Mem. Cogn. 45, 932–939. doi: 10.3758/s13421-017-0706-3

PubMed Abstract | CrossRef Full Text | Google Scholar

McGaugh, J. L. (2004). The amygdala modulates the consolidation of memories of emotionally arousing experiences. Annu. Rev. Neurosci. 27, 1–28. doi: 10.1146/annurev.neuro.27.070203.144157

CrossRef Full Text | Google Scholar

McNally, R. J., Litz, B. T., Prassas, A., Shin, L. M., and Weathers, F. W. (1994). Emotional priming of autobiographical memory in post-traumatic stress disorder. Cogn. Emot. 8, 351–367. doi: 10.1371/journal.pone.0058150

PubMed Abstract | CrossRef Full Text | Google Scholar

McRae, K., Hughes, B., Chopra, S., Gabrieli, J. D., Gross, J. J., and Ochsner, K. N. (2010). The neural bases of distraction and reappraisal. J. Cogn. Neurosci. 22, 248–262. doi: 10.1162/jocn.2009.21243

PubMed Abstract | CrossRef Full Text | Google Scholar

Meyer, M. L., and Lieberman, M. D. (2012). Social working memory: neurocognitive networks and directions for future research. Front. Psychol. 3:571. doi: 10.3389/fpsyg.2012.00571

PubMed Abstract | CrossRef Full Text | Google Scholar

Meyer, M. L., Taylor, S. E., and Lieberman, M. D. (2015). Social working memory and its distinctive link to social cognitive ability: an fMRI study. Soc. Cogn. Affect. Neurosci. 10, 1338–1347. doi: 10.1093/scan/nsv065

PubMed Abstract | CrossRef Full Text | Google Scholar

Meyers-Levy, J., and Loken, B. (2015). Revisiting gender differences: what we know and what lies ahead. J. Consum. Psychol. 25, 129–149. doi: 10.1016/j.jcps.2014.06.003

CrossRef Full Text | Google Scholar

Mickley, K. R., and Kensinger, E. A. (2008). Emotional valence influences the neural correlates associated with remembering and knowing. Cogn. Affect. Behav. Neurosci. 8, 143–152. doi: 10.3758/CABN.8.2.143

PubMed Abstract | CrossRef Full Text | Google Scholar

Mickley Steinmetz, K. R., Addis, D. R., and Kensinger, E. A. (2010). The effect of arousal on the emotional memory network depends on valence. Neuroimage 53, 318–324. doi: 10.1016/j.neuroimage.2010.06.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Mickley Steinmetz, K. R., and Kensinger, E. A. (2009). The effects of valence and arousal on the neural activity leading to subsequent memory. Psychophysiology 46, 1190–1199. doi: 10.1111/j.1469-8986.2009.00868.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Miskovic, V., and Keil, A. (2012). Acquired fears reflected in cortical sensory processing: a review of electrophysiological studies of human classical conditioning. Psychophysiology 49, 1230–1241. doi: 10.1111/j.1469-8986.2012.01398.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Mitchell, J. P., Macrae, C. N., and Banaji, M. R. (2004). Encoding-specific effects of social cognition on the neural correlates of subsequent memory. J. Neurosci. 24, 4912–4917. doi: 10.1523/JNEUROSCI.0481-04.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Montagne, B., Kessels, R. P. C., Frigerio, E., de Haan, E. H. F., and Perrett, D. I. (2005). Sex differences in the perception of affective facial expressions: do men really lack emotional sensitivity? Cogn. Process. 6, 136–141. doi: 10.1007/s10339-005-0050-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Mroczek, D. K., Spiro, A., Griffin, P. W., Neupert, S., Schaie, K. W., and Carstensen, L. L. (2006). “Social influences on adult personality, self-regulation and health,” in Social Structures, Aging and Self-Regulation, eds K. W. Schaie and L. L. Carstensen (Berlin: Springer), 69–84.

Google Scholar

Murray, B. D., Holland, A. C., and Kensinger, E. A. (2013). “Episodic memory and emotion,” in Handbook of Cognition and Emotion, eds M. D. Robinson, E. R. Watkins, and E. Harmon-Jones (Hoboken, NJ: John Wiley & Sons), 156–175.

Google Scholar

Murray, B. D., and Kensinger, E. A. (2014). The route to an integrative associative memory is influenced by emotion. PLOS ONE 9:e82372. doi: 10.1371/journal.pone.0082372

PubMed Abstract | CrossRef Full Text | Google Scholar

Murty, V. P., Ritchey, M., Adcock, R. A., and LaBar, K. S. (2011). Reprint of: fMRI studies of successful emotional memory encoding: a quantitative meta-analysis. Neuropsychologia 49, 695–705. doi: 10.1016/j.neuropsychologia.2011.02.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Murty, V. P., Sambataro, F., Das, S., Tan, H. Y., Callicott, J. H., Goldberg, T. E., et al. (2009). Age-related alterations in simple declarative memory and the effect of negative stimulus valence. J. Cogn. Neurosci. 21, 1920–1933. doi: 10.1162/jocn.2009.21130

PubMed Abstract | CrossRef Full Text | Google Scholar

Muscatell, K. A., Addis, D. R., and Kensinger, E. A. (2010). Self-involvement modulates the effective connectivity of the autobiographical memory network. Soc. Cogn. Affect. Neurosci. 5, 68–76. doi: 10.1093/scan/nsp043

PubMed Abstract | CrossRef Full Text | Google Scholar

Nashiro, K., and Mather, M. (2011). How arousal affects younger and older adults’ memory binding. Exp. Aging Res. 37, 108–128. doi: 10.1080/0361073X.2011.536746

PubMed Abstract | CrossRef Full Text | Google Scholar

Nolen-Hoeksema, S. (2001). Gender differences in depression. Curr. Dir. Psychol. Sci. 10, 173–176. doi: 10.1111/1467-8721.00142

CrossRef Full Text | Google Scholar

Nolen-Hoeksema, S., Wisco, B. E., and Lyubomirsky, S. (2008). Rethinking rumination. Perspect. Psychol. Sci. 3, 400–424. doi: 10.1111/j.1745-6924.2008.00088.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Northoff, G., Heinzel, A., de Greck, M., Bermpohl, F., Dobrowolny, H., and Panksepp, J. (2006). Self-referential processing in our brain–a meta-analysis of imaging studies on the self. Neuroimage 31, 440–457. doi: 10.1016/j.neuroimage.2005.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Northoff, G., Schneider, F., Rotte, M., Matthiae, C., Tempelmann, C., Wiebking, C., et al. (2009). Differential parametric modulation of self-relatedness and emotions in different brain regions. Hum. Brain Mapp. 30, 369–382. doi: 10.1002/hbm.20510

PubMed Abstract | CrossRef Full Text | Google Scholar

Nostro, A. D., Müller, V. I., Reid, A. T., and Eickhoff, S. B. (2016). Correlations between personality and brain structure: a crucial role of gender. Cereb. Cortex 27, 3698–3712. doi: 10.1093/cercor/bhw191

PubMed Abstract | CrossRef Full Text | Google Scholar

Olatunji, B. O., Berg, H. E., and Zhao, Z. (2015). Emotion regulation of fear and disgust: differential effects of reappraisal and suppression. Cogn. Emot. 31, 403–410. doi: 10.1080/02699931.2015.1110117

PubMed Abstract | CrossRef Full Text | Google Scholar

Old, S. R., and Naveh-Benjamin, M. (2008). Differential effects of age on item and associative measures of memory: a meta-analysis. Psychol. Aging 23, 104–118. doi: 10.1037/0882-7974.23.1.104

PubMed Abstract | CrossRef Full Text | Google Scholar

Olson, I. R., McCoy, D., Klobusicky, E., and Ross, L. A. (2013). Social cognition and the anterior temporal lobes: a review and theoretical framework. Soc. Cogn. Affect. Neurosci. 8, 123–133. doi: 10.1093/scan/nss119

PubMed Abstract | CrossRef Full Text | Google Scholar

Ormel, J., Bastiaansen, A., Riese, H., Bos, E. H., Servaas, M., Ellenbogen, M., et al. (2013). The biological and psychological basis of neuroticism: current status and future directions. Neurosci. Biobehav. Rev. 37, 59–72. doi: 10.1016/j.neubiorev.2012.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Paller, K. A., and Wagner, A. D. (2002). Observing the transformation of experience into memory. Trends Cogn. Sci. 6, 93–102. doi: 10.1016/S1364-6613(00)01845-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Petrides, M., and Pandya, D. N. (2002). Comparative cytoarchitectonic analysis of the human and the macaque ventrolateral prefrontal cortex and corticocortical connection patterns in the monkey. Eur. J. Neurosci. 16, 291–310. doi: 10.1046/j.1460-9568.2001.02090.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Phan, K. L., Wager, T., Taylor, S. F., and Liberzon, I. (2002). Functional neuroanatomy of emotion: a meta-analysis of emotion activation studies in PET and fMRI. Neuroimage 16, 331–348. doi: 10.1006/nimg.2002.1087

PubMed Abstract | CrossRef Full Text | Google Scholar

Phelps, E. A. (2004). Human emotion and memory: interactions of the amygdala and hippocampal complex. Curr. Opin. Neurobiol. 14, 198–202. doi: 10.1016/j.conb.2004.03.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Phelps, E. A., and LeDoux, J. E. (2005). Contributions of the amygdala to emotion processing: from animal models to human behavior. Neuron 48, 175–187. doi: 10.1016/j.neuron.2005.09.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Phillips, L. H., MacLean, R. D., and Allen, R. (2002). Age and the understanding of emotions: neuropsychological and sociocognitive perspectives. J. Gerontol. B Psychol. Sci. Soc. Sci. 57, 526–530. doi: 10.1093/geronb/57.6.P526

PubMed Abstract | CrossRef Full Text | Google Scholar

Piefke, M., Weiss, P. H., Zilles, K., Markowitsch, H. J., and Fink, G. R. (2003). Differential remoteness and emotional tone modulate the neural correlates of autobiographical memory. Brain 126(Pt 3), 650–668. doi: 10.1093/brain/awg064

PubMed Abstract | CrossRef Full Text | Google Scholar

Pierce, B. H., and Kensinger, E. A. (2011). Effects of emotion on associative recognition: valence and retention interval matter. Emotion 11, 139–144. doi: 10.1037/a0021287

PubMed Abstract | CrossRef Full Text | Google Scholar

Poldrack, R. A., Wagner, A. D., Prull, M. W., Desmond, J. E., Glover, G. H., and Gabrieli, J. D. (1999). Functional specialization for semantic and phonological processing in the left inferior prefrontal cortex. Neuroimage 10, 15–35. doi: 10.1006/nimg.1999.0441

PubMed Abstract | CrossRef Full Text | Google Scholar

Prince, S. E., Daselaar, S. M., and Cabeza, R. (2005). Neural correlates of relational memory: successful encoding and retrieval of semantic and perceptual associations. J. Neurosci. 25, 1203–1210. doi: 10.1523/JNEUROSCI.2540-04.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Prince, S. E., Dennis, N. A., and Cabeza, R. (2009). Encoding and retrieving faces and places: distinguishing process- and stimulus-specific differences in brain activity. Neuropsychologia 47, 2282–2289. doi: 10.1016/j.neuropsychologia.2009.01.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Proverbio, A. M., Adorni, R., Zani, A., and Trestianu, L. (2008a). Sex differences in the brain response to affective scenes with or without humans. Neuropsychologia 47, 2374–2388. doi: 10.1016/j.neuropsychologia.2008.10.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Proverbio, A. M., Zani, A., and Adorni, R. (2008b). Neural markers of a greater female responsiveness to social stimuli. BMC Neurosci. 9:56. doi: 10.1186/1471-2202-9-56

PubMed Abstract | CrossRef Full Text | Google Scholar

Raes, F., Williams, J. M., and Hermans, D. (2009). Reducing cognitive vulnerability to depression: a preliminary investigation of MEmory Specificity Training (MEST) in inpatients with depressive symptomatology. J. Behav. Ther. Exp. Psychiatry 40, 24–38. doi: 10.1016/j.jbtep.2008.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Ranganath, C. (2010). Binding items and contexts the cognitive neuroscience of episodic memory. Curr. Dir. Psychol. Sci. 19, 131–137. doi: 10.1177/0963721410368805

CrossRef Full Text | Google Scholar

Rauch, S. L., Shin, L. M., and Phelps, E. A. (2006). Neurocircuitry models of posttraumatic stress disorder and extinction: human neuroimaging research–past, present, and future. Biol. Psychiatry 60, 376–382. doi: 10.1016/j.biopsych.2006.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Richards, J. M., Butler, E. A., and Gross, J. J. (2003). Emotion regulation in romantic relationships: the cognitive consequences of concealing feelings. J. Soc. Pers. Relatsh. 20, 599–620. doi: 10.1177/02654075030205002

CrossRef Full Text | Google Scholar

Richards, J. M., and Gross, J. J. (1999). Composure at Any Cost? the cognitive consequences of emotion suppression. Pers. Soc. Psychol. Bull. 25, 1033–1044. doi: 10.1177/01461672992511010

CrossRef Full Text | Google Scholar

Richards, J. M., and Gross, J. J. (2000). Emotion regulation and memory: the cognitive costs of keeping one’s cool. J. Pers. Soc. Psychol. 79, 410–424. doi: 10.1037/0022-3514.79.3.410

CrossRef Full Text | Google Scholar

Richardson, M. P., Strange, B. A., and Dolan, R. J. (2004). Encoding of emotional memories depends on amygdala and hippocampus and their interactions. Nat. Neurosci. 7, 278–285. doi: 10.1038/nn1190

PubMed Abstract | CrossRef Full Text | Google Scholar

Rimmele, U., Davachi, L., Petrov, R., Dougal, S., and Phelps, E. A. (2011). Emotion enhances the subjective feeling of remembering, despite lower accuracy for contextual details. Emotion 11, 553–562. doi: 10.1037/a0024246

PubMed Abstract | CrossRef Full Text | Google Scholar

Ritchey, M., Dolcos, F., and Cabeza, R. (2008). Role of amygdala connectivity in the persistence of emotional memories over time: an event-related fMRI investigation. Cereb. Cortex 18, 2494–2504. doi: 10.1093/cercor/bhm262

PubMed Abstract | CrossRef Full Text | Google Scholar

Ritchey, M., LaBar, K. S., and Cabeza, R. (2011). Level of processing modulates the neural correlates of emotional memory formation. J. Cogn. Neurosci. 23, 757–771. doi: 10.1162/jocn.2010.21487

PubMed Abstract | CrossRef Full Text | Google Scholar

Roy, M., Shohamy, D., and Wager, T. D. (2012). Ventromedial prefrontal-subcortical systems and the generation of affective meaning. Trends Cogn. Sci. 16, 147–156. doi: 10.1016/j.tics.2012.01.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Rubin, D. C., Dennis, M. F., and Beckham, J. C. (2011). Autobiographical memory for stressful events: the role of autobiographical memory in posttraumatic stress disorder. Conscious. Cogn. 20, 840–856. doi: 10.1016/j.concog.2011.03.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Rubin, D. C., and Seigler, I. C. (2004). Facets of personality and the phenomenology of autobiographical memory. Appl. Cogn. Psychol. 18, 913–930. doi: 10.3758/MC.38.6.809

PubMed Abstract | CrossRef Full Text | Google Scholar

Rugg, M. D., and Curran, T. (2007). Event-related potentials and recognition memory. Trends Cogn. Sci. 11, 251–257. doi: 10.1016/j.tics.2007.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Russell, J. (1980). A circumplex model of affect. J. Pers. Soc. Psychol. 39, 1161–1178. doi: 10.1037/h0077714

CrossRef Full Text | Google Scholar

Russo, R., Whittuck, D., Roberson, D., Dutton, K., Georgiou, G., and Fox, E. (2006). Mood-congruent free recall bias in anxious individuals is not a consequence of response bias. Memory 14, 393–399. doi: 10.1080/09658210500343166

PubMed Abstract | CrossRef Full Text | Google Scholar

Rusting, C. L. (1999). Interactive effects of personality and mood on emotion-congruent memory and judgment. J. Pers. Soc. Psychol. 77, 1073–1086. doi: 10.1037/0022-3514.77.5.1073

PubMed Abstract | CrossRef Full Text | Google Scholar

Said, C. P., Baron, S. G., and Todorov, A. (2009). Nonlinear amygdala response to face trustworthiness: contributions of high and low spatial frequency information. J. Cogn. Neurosci. 21, 519–528. doi: 10.1162/jocn.2009.21041

PubMed Abstract | CrossRef Full Text | Google Scholar

Sakaki, M., Fryer, K., and Mather, M. (2014). Emotion strengthens high-priority memory traces but weakens low-priority memory traces. Psychol. Sci. 25, 387–395. doi: 10.1177/0956797613504784

PubMed Abstract | CrossRef Full Text | Google Scholar

Sakaki, M., Nga, L., and Mather, M. (2013). Amygdala functional connectivity with medial prefrontal cortex at rest predicts the positivity effect in older adults’ memory. J. Cogn. Neurosci. 25, 1206–1224. doi: 10.1162/jocn_a_00392

PubMed Abstract | CrossRef Full Text | Google Scholar

Sakaki, M., Niki, K., and Mather, M. (2012). Beyond arousal and valence: the importance of the biological versus social relevance of emotional stimuli. Cogn. Affect. Behav. Neurosci. 12, 115–139. doi: 10.3758/s13415-011-0062-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Schilbach, L., Bzdok, D., Timmermans, B., Fox, P. T., Laird, A. R., Vogeley, K., et al. (2012). Introspective minds: using ALE meta-analyses to study commonalities in the neural correlates of emotional processing, social & unconstrained cognition. PLOS ONE 7:e30920. doi: 10.1371/journal.pone.0030920

PubMed Abstract | CrossRef Full Text | Google Scholar

Schilbach, L., Eickhoff, S. B., Rotarska-Jagiela, A., Fink, G. R., and Vogeley, K. (2008). Minds at rest? Social cognition as the default mode of cognizing and its putative relationship to the “default system” of the brain. Conscious. Cogn. 17, 457–467. doi: 10.1016/j.concog.2008.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Schiller, D., Freeman, J. B., Mitchell, J. P., Uleman, J. S., and Phelps, E. A. (2009). A neural mechanism of first impressions. Nat. Neurosci. 12, 508–514. doi: 10.1038/nn.2278

PubMed Abstract | CrossRef Full Text | Google Scholar

Schlagman, S., Schulz, J., and Kvavilashvili, L. (2006). A content analysis of involuntary autobiographical memories: examining the positivity effect in old age. Memory 14, 161–175. doi: 10.1080/09658210544000024

PubMed Abstract | CrossRef Full Text | Google Scholar

Schmeichel, B. J., Volokhov, R. N., and Demaree, H. A. (2008). Working memory capacity and the self-regulation of emotional expression and experience. J. Pers. Soc. Psychol. 95, 1526–1540. doi: 10.1037/a0013345

PubMed Abstract | CrossRef Full Text | Google Scholar

Schweizer, S., Grahn, J., Hampshire, A., Mobbs, D., and Dalgleish, T. (2013). Training the emotional brain: improving affective control through emotional working memory training. J. Neurosci. 33, 5301–5311. doi: 10.1523/JNEUROSCI.2593-12.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

Seidlitz, L., and Diener, E. (1998). Sex differences in the recall of affective experiences. J. Pers. Soc. Psychol. 74, 262–271. doi: 10.1037/0022-3514.74.1.262

CrossRef Full Text | Google Scholar

Sergerie, K., Lepage, M., and Armony, J. L. (2006). A process-specific functional dissociation of the amygdala in emotional memory. J. Cogn. Neurosci. 18, 1359–1367. doi: 10.1162/jocn.2006.18.8.1359

PubMed Abstract | CrossRef Full Text | Google Scholar

Shafer, A., Iordan, A., Cabeza, R., and Dolcos, F. (2011). Brain imaging investigation of the memory-enhancing effect of emotion. J. Vis. Exp. 51, 2433. doi: 10.3791/2433

PubMed Abstract | CrossRef Full Text | Google Scholar

Shafer, A. T., Matveychuk, D., Penney, T., O’Hare, A. J., Stokes, J., and Dolcos, F. (2012). Processing of emotional distraction is both automatic and modulated by attention: evidence from an event-related fMRI investigation. J. Cogn. Neurosci. 24, 1233–1252. doi: 10.1162/jocn_a_00206

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharot, T. (2011). The optimism bias. Curr. Biol. 21, R941–R945. doi: 10.1016/j.cub.2011.10.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharot, T., Delgado, M. R., and Phelps, E. A. (2004). How emotion enhances the feeling of remembering. Nat. Neurosci. 7, 1376–1380. doi: 10.1038/nn1353

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharot, T., Martorella, E. A., Delgado, M. R., and Phelps, E. A. (2007a). How personal experience modulates the neural circuitry of memories of September 11. Proc. Natl. Acad. Sci. U.S.A. 104, 389–394.

PubMed Abstract | Google Scholar

Sharot, T., Riccardi, A. M., Raio, C. M., and Phelps, E. A. (2007b). Neural mechanisms mediating optimism bias. Nature 450, 102–105.

PubMed Abstract | Google Scholar

Sharp, C., Fonagy, P., and Allen, J. G. (2012). Posttraumatic stress disorder: a social-cognitive perspective. Clin. Psychol. Sci. Pract. 19, 229–240. doi: 10.1037/tra0000165

PubMed Abstract | CrossRef Full Text | Google Scholar

Sheppes, G., and Gross, J. J. (2012). “Emotion regulation effectiveness: what works when,” in Handbook of Psychology: Personality and Social Psychology, Vol. 5, eds H. A. Tennen and J. M. Suls (New York, NY: Wiley).

Google Scholar

Sheppes, G., Scheibe, S., Suri, G., Radu, P., Blechert, J., and Gross, J. J. (2014). Emotion regulation choice: a conceptual framework and supporting evidence. J. Exp. Psychol. 143, 163–181. doi: 10.1037/a0030831

PubMed Abstract | CrossRef Full Text | Google Scholar

Shin, L. M., and Liberzon, I. (2009). The neurocircuitry of fear, stress, and anxiety disorders. Neuropsychopharmacology 35, 169–191. doi: 10.1038/npp.2009.83

PubMed Abstract | CrossRef Full Text | Google Scholar

Singer, T., Kiebel, S. J., Winston, J. S., Dolan, R. J., and Frith, C. D. (2004). Brain responses to the acquired moral status of faces. Neuron 41, 653–662. doi: 10.1016/S0896-6273(04)00014-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, A. P., Dolan, R. J., and Rugg, M. D. (2004a). Event-related potential correlates of the retrieval of emotional and nonemotional context. J. Cogn. Neurosci. 16, 760–775.

Google Scholar

Smith, A. P., Henson, R. N., Dolan, R. J., and Rugg, M. D. (2004b). fMRI correlates of the episodic retrieval of emotional contexts. Neuroimage 22, 868–878.

Google Scholar

Smith, A. P., Henson, R. N., Rugg, M. D., and Dolan, R. J. (2005). Modulation of retrieval processing reflects accuracy of emotional source memory. Learn. Mem. 12, 472–479. doi: 10.1101/lm.84305

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, A. P., Stephan, K. E., Rugg, M. D., and Dolan, R. J. (2006). Task and content modulate amygdala-hippocampal connectivity in emotional retrieval. Neuron 49, 631–638. doi: 10.1016/j.neuron.2005.12.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Somerville, L. H., Wig, G. S., Whalen, P. J., and Kelley, W. M. (2006). Dissociable medial temporal lobe contributions to social memory. J. Cogn. Neurosci. 18, 1253–1265. doi: 10.1162/jocn.2006.18.8.1253

PubMed Abstract | CrossRef Full Text | Google Scholar

Spaniol, J., Voss, A., and Grady, C. L. (2008). Aging and emotional memory: cognitive mechanisms underlying the positivity effect. Psychol Aging 23, 859–872. doi: 10.1037/a0014218

PubMed Abstract | CrossRef Full Text | Google Scholar

Spreng, R. N., and Andrews-Hanna, J. R. (2015). “The default network and social cognition,” in Brain Mapping: An Encyclopedic Reference, Vol. 3, ed. A. W. Toga (Cambridge, MA: Academic Press), 165–169.

Google Scholar

Spreng, R. N., and Mar, R. A. (2012). I remember you: a role for memory in social cognition and the functional neuroanatomy of their interaction. Brain Res. 1428, 43–50. doi: 10.1016/j.brainres.2010.12.024

PubMed Abstract | CrossRef Full Text | Google Scholar

St. Jacques, P. L., Dolcos, F., and Cabeza, R. (2009). Effects of aging on functional connectivity of the amygdala for subsequent memory of negative pictures: a network analysis of fMRI data. Psychol. Sci. 20, 74–84. doi: 10.1111/j.1467-9280.2008.02258.x

PubMed Abstract | CrossRef Full Text | Google Scholar

St. Jacques, P. L., Dolcos, F., and Cabeza, R. (2010). Effects of aging on functional connectivity of the amygdala during negative evaluation: a network analysis of fMRI data. Neurobiol. Aging 31, 315–327. doi: 10.1016/j.neurobiolaging.2008.03.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Staresina, B. P., and Davachi, L. (2010). Object unitization and associative memory formation are supported by distinct brain regions. J. Neurosci. 30, 9890–9897. doi: 10.1523/JNEUROSCI.0826-10.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Stevens, J. S., and Hamann, S. (2012). Sex differences in brain activation to emotional stimuli: a meta-analysis of neuroimaging studies. Neuropsychologia 50, 1578–1593. doi: 10.1016/j.neuropsychologia.2012.03.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Strange, B. A., and Dolan, R. J. (2004). Beta-adrenergic modulation of emotional memory-evoked human amygdala and hippocampal responses. Proc. Natl. Acad. Sci. U.S.A. 101, 11454–11458. doi: 10.1073/pnas.0404282101

PubMed Abstract | CrossRef Full Text | Google Scholar

Sutherland, K., and Bryant, R. A. (2008). Social problem solving and autobiographical memory in posttraumatic stress disorder. Behav. Res. Ther. 46, 154–161. doi: 10.1016/j.brat.2007.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Sweeney-Reed, C. M., Zaehle, T., Voges, J., Schmitt, F. C., Buentjen, L., Kopitzki, K., et al. (2014). Corticothalamic phase synchrony and cross-frequency coupling predict human memory formation. Elife 3:e05352. doi: 10.7554/eLife.05352

PubMed Abstract | CrossRef Full Text | Google Scholar

Sweeney-Reed, C. M., Zaehle, T., Voges, J., Schmitt, F. C., Buentjen, L., Kopitzki, K., et al. (2015). Thalamic theta phase alignment predicts human memory formation and anterior thalamic cross-frequency coupling. Elife 4:e07578. doi: 10.7554/eLife.07578

PubMed Abstract | CrossRef Full Text | Google Scholar

Takashima, A., van der Ven, F., Kroes, M. C. W., and Fernández, G. (2016). Retrieved emotional context influences hippocampal involvement during recognition of neutral memories. Neuroimage 143, 280–292. doi: 10.1016/j.neuroimage.2016.08.069

PubMed Abstract | CrossRef Full Text | Google Scholar

Tambini, A., Rimmele, U., Phelps, E. A., and Davachi, L. (2017). Emotional brain states carry over and enhance future memory formation. Nat. Neurosci. 20, 271–278. doi: 10.1038/nn.4468

PubMed Abstract | CrossRef Full Text | Google Scholar

Thiruchselvam, R., Blechert, J., Sheppes, G., Rydstrom, A., and Gross, J. J. (2011). The temporal dynamics of emotion regulation: an EEG study of distraction and reappraisal. Biol. Psychol. 87, 84–92. doi: 10.1016/j.biopsycho.2011.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Thoresen, C., Jensen, J., Sigvartsen, N. P., Bolstad, I., Server, A., Nakstad, P. H., et al. (2012). Arousal modulates activity in the medial temporal lobe during a short-term relational memory task. Front. Hum. Neurosci. 5:177. doi: 10.3389/fnhum.2011.00177

PubMed Abstract | CrossRef Full Text | Google Scholar

Touryan, S. R., Johnson, M. K., Mitchell, K. J., Farb, N., Cunningham, W. A., and Raye, C. L. (2007a). The influence of self-regulatory focus on encoding of, and memory for, emotional words. Soc. Neurosci. 2, 14–27. doi: 10.1080/17470910601046829

PubMed Abstract | CrossRef Full Text | Google Scholar

Touryan, S. R., Marian, D. E., and Shimamura, A. P. (2007b). Effect of negative emotional pictures on associative memory for peripheral information. Memory 15, 154–166.

PubMed Abstract | Google Scholar

Tsukiura, T. (2012). Neural mechanisms underlying the effects of face-based affective signals on memory for faces: a tentative model. Front. Integr. Neurosci. 6:50. doi: 10.3389/fnint.2012.00050

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsukiura, T., and Cabeza, R. (2008). Orbitofrontal and hippocampal contributions to memory for face-name associations: the rewarding power of a smile. Neuropsychologia 46, 2310–2319. doi: 10.1016/j.neuropsychologia.2008.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsukiura, T., and Cabeza, R. (2011a). Remembering beauty: roles of orbitofrontal and hippocampal regions in successful memory encoding of attractive faces. Neuroimage 54, 653–660. doi: 10.1016/j.neuroimage.2010.07.046

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsukiura, T., and Cabeza, R. (2011b). Shared brain activity for aesthetic and moral judgments: implications for the Beauty-is-Good stereotype. Soc. Cogn. Affect. Neurosci. 6, 138–148. doi: 10.1093/scan/nsq025

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsukiura, T., Mano, Y., Sekiguchi, A., Yomogida, Y., Hoshi, K., Kambara, T., et al. (2010). Dissociable roles of the anterior temporal regions in successful encoding of memory for person identity information. J. Cogn. Neurosci. 22, 2226–2237. doi: 10.1162/jocn.2009.21349

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsukiura, T., Sekiguchi, A., Yomogida, Y., Nakagawa, S., Shigemune, Y., Kambara, T., et al. (2011). Effects of aging on hippocampal and anterior temporal activations during successful retrieval of memory for face-name associations. J. Cogn. Neurosci. 23, 200–213. doi: 10.1162/jocn.2010.21476

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsukiura, T., Shigemune, Y., Nouchi, R., Kambara, T., and Kawashima, R. (2013). Insular and hippocampal contributions to remembering people with an impression of bad personality. Soc. Cogn. Affect. Neurosci. 8, 515–522. doi: 10.1093/scan/nss025

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsukiura, T., Suzuki, C., Shigemune, Y., and Mochizuki-Kawai, H. (2008). Differential contributions of the anterior temporal and medial temporal lobe to the retrieval of memory for person identity information. Hum. Brain Mapp. 29, 1343–1354. doi: 10.1002/hbm.20469

PubMed Abstract | CrossRef Full Text | Google Scholar

Urry, H. L., van Reekum, C. M., Johnstone, T., Kalin, N. H., Thurow, M. E., Schaefer, H. S., et al. (2006). Amygdala and ventromedial prefrontal cortex are inversely coupled during regulation of negative affect and predict the diurnal pattern of cortisol secretion among older adults. J. Neurosci. 26, 4415–4425. doi: 10.1523/JNEUROSCI.3215-05.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

van Ast, V. A., Cornelisse, S., Marin, M. F., Ackermann, S., Garfinkel, S. N., and Abercrombie, H. C. (2013). Modulatory mechanisms of cortisol effects on emotional learning and memory: novel perspectives. Psychoneuroendocrinology 38, 1874–1882. doi: 10.1016/j.psyneuen.2013.06.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Vandekerckhove, M. M., Markowitsch, H. J., Mertens, M., and Woermann, F. G. (2005). Bi-hemispheric engagement in the retrieval of autobiographical episodes. Behav. Neurol. 16, 203–210. doi: 10.1155/2005/460745

PubMed Abstract | CrossRef Full Text | Google Scholar

Ventura-Bort, C., Löw, A., Wendt, J., Dolcos, F., Hamm, A. O., and Weymar, M. (2016a). When neutral turns significant: brain dynamics of rapidly formed associations between neutral stimuli and emotional contexts. Eur. J. Neurosci. 44, 2176–2183. doi: 10.1111/ejn.13319

PubMed Abstract | CrossRef Full Text | Google Scholar

Ventura-Bort, C., Löw, A., Wendt, J., Molto, J., Poy, R., Dolcos, F., et al. (2016b). Binding neutral information to emotional contexts: brain dynamics of long-term recognition memory. Cogn. Affect. Behav. Neurosci. 16, 234–247. doi: 10.3758/s13415-015-0385-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Vogel, S., Fernandez, G., Joels, M., and Schwabe, L. (2016). Cognitive adaptation under stress: a case for the mineralocorticoid receptor. Trends Cogn. Sci. 20, 192–203. doi: 10.1016/j.tics.2015.12.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Vrtička, P., Sander, D., and Vuilleumier, P. (2012). Lateralized interactive social content and valence processing within the human amygdala. Front. Hum. Neurosci. 6:358. doi: 10.3389/fnhum.2012.00358

PubMed Abstract | CrossRef Full Text | Google Scholar

Vuilleumier, P., Richardson, M. P., Armony, J. L., Driver, J., and Dolan, R. J. (2004). Distant influences of amygdala lesion on visual cortical activation during emotional face processing. Nat. Neurosci. 7, 1271–1278. doi: 10.1038/nn1341

PubMed Abstract | CrossRef Full Text | Google Scholar

Wager, T. D., Barrett, L. F., Bliss-Moreau, E., Lindquist, K., Duncan, S., Kober, H., et al. (2008). “The neuroimaging of emotion,” in Handbook of Emotions, Vol. 3, ed. M. Lewis (New York City, NY: Guilford Publications), 249–271.

Google Scholar

Wagner, D. D., Haxby, J. V., and Heatherton, T. F. (2012). The representation of self and person knowledge in the medial prefrontal cortex. Wiley Interdiscip. Rev. 3, 451–470. doi: 10.1002/wcs.1183

PubMed Abstract | CrossRef Full Text | Google Scholar

Wagner, U., Handke, L., and Walter, H. (2015). The relationship between trait empathy and memory formation for social vs. non-social information. BMC Psychol. 3:2. doi: 10.1186/s40359-015-0058-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Walker, W. R., Yancu, C. N., and Skowronski, J. J. (2014). Trait anxiety reduces affective fading for both positive and negative autobiographical memories. Adv. Cogn. Psychol. 10, 81–89. doi: 10.5709/acp-0159-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Waring, J. D., Addis, D. R., and Kensinger, E. A. (2013). Effects of aging on neural connectivity underlying selective memory for emotional scenes. Neurobiol. Aging 34, 451–467. doi: 10.1016/j.neurobiolaging.2012.03.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Waring, J. D., and Kensinger, E. A. (2011). How emotion leads to selective memory: neuroimaging evidence. Neuropsychologia 49, 1831–1842. doi: 10.1016/j.neuropsychologia.2011.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Watkins, E. R., Baeyens, C. B., and Read, R. (2009). Concreteness training reduces dysphoria: proof-of-principle for repeated cognitive bias modification in depression. J. Abnorm. Psychol. 118, 55–64. doi: 10.1037/a0013642

PubMed Abstract | CrossRef Full Text | Google Scholar

Webb, T. L., Miles, E., and Sheeran, P. (2012). Dealing with feeling: a meta-analysis of the effectiveness of strategies derived from the process model of emotion regulation. Psychol. Bull. 138, 775–808. doi: 10.1037/a0027600

PubMed Abstract | CrossRef Full Text | Google Scholar

Weymar, M., Bradley, M. M., Hamm, A. O., and Lang, P. J. (2013). When fear forms memories: threat of shock and brain potentials during encoding and recognition. Cortex 49, 819–826. doi: 10.1016/j.cortex.2012.02.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Weymar, M., Bradley, M. M., Hamm, A. O., and Lang, P. J. (2014). Encoding and reinstatement of threat: recognition potentials. Neurobiol. Learn. Mem. 107, 87–92. doi: 10.1016/j.nlm.2013.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Weymar, M., and Hamm, A. O. (2013). “Electrophysiological signature of emotional memories,” in Hurting Memories and Beneficial Forgetting: Posttraumatic Stress Disorders, Biographical Developments and Social Conflicts, eds M. Linden and K. Rutkowski (Amsterdam: Elsevier), 21–35. doi: 10.1016/B978-0-12-398393-0.00002-X

CrossRef Full Text | Google Scholar

Weymar, M., Löw, A., and Hamm, A. O. (2011). Emotional memories are resilient to time: evidence from the parietal ERP old/new effect. Hum. Brain Mapp. 32, 632–640. doi: 10.1002/hbm.21051

PubMed Abstract | CrossRef Full Text | Google Scholar

Weymar, M., Löw, A., Melzig, C. A., and Hamm, A. O. (2009). Enhanced long-term recollection for emotional pictures: evidence from high-density ERPs. Psychophysiology 46, 1200–1207. doi: 10.1111/j.1469-8986.2009.00869.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Wilker, S., Elbert, T., and Kolassa, I. T. (2014). The downside of strong emotional memories: how human memory-related genes influence the risk for posttraumatic stress disorder–a selective review. Neurobiol. Learn. Mem. 112, 75–86. doi: 10.1016/j.nlm.2013.08.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, A. D., and Moulds, M. L. (2008). Negative appraisals and cognitive avoidance of intrusive memories in depression: a replication and extension. Depress. Anxiety 25, E26–E33. doi: 10.1002/da.20409

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, J. M., Teasdale, J. D., Segal, Z. V., and Soulsby, J. (2000). Mindfulness-based cognitive therapy reduces overgeneral autobiographical memory in formerly depressed patients. J. Abnorm. Psychol. 109, 150–155. doi: 10.1037/0021-843X.109.1.150

CrossRef Full Text | Google Scholar

Wilson, R. S., Bennett, D. A., Mendes de Leon, C. F., Bienias, J. L., Morris, M. C., and Evans, D. A. (2005). Distress proneness and cognitive decline in a population of older persons. Psychoneuroendocrinology 30, 11–17. doi: 10.1016/j.psyneuen.2004.04.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamawaki, R., Nakamura, K., Aso, T., Shigemune, Y., Fukuyama, H., and Tsukiura, T. (2017). Remembering my friends: medial prefrontal and hippocampal contributions to the self-reference effect on face memories in a social context. Hum. Brain Mapp. 38, 4256–4269. doi: 10.1002/hbm.23662

PubMed Abstract | CrossRef Full Text | Google Scholar

Yaoi, K., Osaka, M., and Osaka, N. (2015). Neural correlates of the self-reference effect: evidence from evaluation and recognition processes. Front. Hum. Neurosci. 9:383. doi: 10.3389/fnhum.2015.00383

PubMed Abstract | CrossRef Full Text | Google Scholar

Yonelinas, A. P., and Ritchey, M. (2015). The slow forgetting of emotional episodic memories: an emotional binding account. Trends Cogn. Sci. 19, 259–267. doi: 10.1016/j.tics.2015.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Young, K. D., Bellgowan, P. S., Bodurka, J., and Drevets, W. C. (2013). Functional neuroimaging of sex differences in autobiographical memory recall. Hum. Brain Mapp. 34, 3320–3332. doi: 10.1002/hbm.22144

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: emotion–cognition interactions, social cognition, emotion control, associative memory, individual differences (personality, sex, age), anxiety, depression, PTSD

Citation: Dolcos F, Katsumi Y, Weymar M, Moore M, Tsukiura T and Dolcos S (2017) Emerging Directions in Emotional Episodic Memory. Front. Psychol. 8:1867. doi: 10.3389/fpsyg.2017.01867

Received: 07 June 2017; Accepted: 09 October 2017;
Published: 04 December 2017.

Edited by:

Maurizio Codispoti, Università di Bologna, Italy

Reviewed by:

Olivier Piguet, University of Sydney, Australia
Jan Van den Stock, KU Leuven, Belgium

Copyright © 2017 Dolcos, Katsumi, Weymar, Moore, Tsukiura and Dolcos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Florin Dolcos, fdolcos@illinois.edu Sanda Dolcos, sdolcos@illinois.edu

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