Impact Factor 2.089

The world's most-cited Multidisciplinary Psychology journal

Review ARTICLE

Front. Psychol., 10 January 2017 | https://doi.org/10.3389/fpsyg.2016.02029

Amygdala Response to Emotional Stimuli without Awareness: Facts and Interpretations

  • 1Department of Medical and Clinical Psychology, Center of Research on Psychology in Somatic Diseases (CoRPS), Tilburg University, Tilburg, Netherlands
  • 2Department of Psychology, University of Torino, Torino, Italy
  • 3Department of Experimental Psychology, University of Oxford, Oxford, UK

Over the past two decades, evidence has accumulated that the human amygdala exerts some of its functions also when the observer is not aware of the content, or even presence, of the triggering emotional stimulus. Nevertheless, there is as of yet no consensus on the limits and conditions that affect the extent of amygdala’s response without focused attention or awareness. Here we review past and recent studies on this subject, examining neuroimaging literature on healthy participants as well as brain-damaged patients, and we comment on their strengths and limits. We propose a theoretical distinction between processes involved in attentional unawareness, wherein the stimulus is potentially accessible to enter visual awareness but fails to do so because attention is diverted, and in sensory unawareness, wherein the stimulus fails to enter awareness because its normal processing in the visual cortex is suppressed. We argue this distinction, along with data sampling amygdala responses with high temporal resolution, helps to appreciate the multiplicity of functional and anatomical mechanisms centered on the amygdala and supporting its role in non-conscious emotion processing. Separate, but interacting, networks relay visual information to the amygdala exploiting different computational properties of subcortical and cortical routes, thereby supporting amygdala functions at different stages of emotion processing. This view reconciles some apparent contradictions in the literature, as well as seemingly contrasting proposals, such as the dual stage and the dual route model. We conclude that evidence in favor of the amygdala response without awareness is solid, albeit this response originates from different functional mechanisms and is driven by more complex neural networks than commonly assumed. Acknowledging the complexity of such mechanisms can foster new insights on the varieties of amygdala functions without awareness and their impact on human behavior.

Introduction

The amygdala (Amg) is a composite subcortical structure that comprises more than 12 sub-nuclei having distinctive patterns of input–output connections with the rest of the brain (Whalen and Phelps, 2009; Janak and Tye, 2015). This histological and connectional heterogeneity reflects its multifaceted functions. In fact, the Amg has long been known pivotal to emotion processing, but it also serves as an interface between emotion and cognitive functions, including decision-making, learning and attention (Bzdok et al., 2013). Over the past two decades, evidence has accumulated that Amg exerts some of its functions also when the subject is not aware of the content or even presence of the triggering emotional stimulus (Tamietto and de Gelder, 2010). This review will discuss findings related to Amg functions in the absence of stimulus awareness, its afferent and efferent paths mainly involved in non-conscious processing, and the consequences of such processing along several dimensions, including changes in expressive or instrumental actions, psychophysiological and neuroendocrine alterations, or modulation of motivated behavior.

Before entering into each specific issue, there are several preliminary considerations, both theoretical and methodological, about the relevance of studying Amg contribution to emotion processing without awareness. First, Amg functions and circuitry have been well conserved across evolution and appear early during phylogenetic as well as ontogenetic development. For example, the Amg is present in reptiles, birds and mammals (Janak and Tye, 2015), its neurogenesis in humans and other primates is complete at birth (Nikolic and Kostovic, 1986), and its connections laid down by the 2nd week of age (Amaral and Bennett, 2000). Therefore, studying Amg’s role in emotion perception without stimulus awareness enables us to focus on processes representing ‘primitives’ that evolved before, and likely shaped, more sophisticated functions, such as those involved in sustaining perceptual awareness, core feelings or intentionality. Likewise, these primordial Amg functions have been implicated in the specialization of more recent cortical functions across the primate lineage as well as during development and maturation (Leppanen and Nelson, 2009), including present-day organization of the cortical visual system specialized for face and body processing (Johnson, 2005; Liddell et al., 2005; de Gelder, 2006). Hence, this also provides a valuable testing ground for gaging cross-species continuity of functions and comparison. Secondly, examining stimulus properties and categories that evoke Amg activity without awareness, or that by comparison fail to do so, we may be able to abstract from common taxonomies, such as those distinguishing animate from inanimate objects, faces from bodies and so on, to reveal cross-category commonalities between stimulus types and attributes that could not be anticipated by looking at cortical segregation of stimulus categories (de Gelder and Tamietto, 2011; Van den Stock et al., 2014). Lastly, the Amg clearly rests at the intersection between conscious as well as non-conscious emotional processing (Pessoa and Adolphs, 2010). To the extent that these two different modes of processing incoming sensory information co-exist in the brain, assessing which operations the Amg undertakes without awareness helps to unravel functions that may be overridden, modulated or even actively blocked during conscious perception and cortical top-down regulation. This can add valuable insights on the longstanding debate on whether perception with and without awareness are qualitative or quantitatively different phenomena, whether and how they interact and interfere to shape the ultimately conscious representation of the external world, and which are, if anything, the specific evolutionary benefits that determined conservation of emotion processing without awareness across evolution.

The rest of the paper proceeds as follows. We will first introduce a conceptual and terminological distinction between different types of emotion perception without awareness, as they entail profoundly different mechanisms and are sampled through distinctive experimental designs. Second, we will review neuroimaging evidence demonstrating Amg activity for emotion processing without awareness, how this has been interpreted and current controversies and limitations. Third, we will discuss Amg automaticity as a function of time, and how data acquired with high temporal resolution techniques can elucidate and accommodate apparent inconsistencies originating from functional magnetic resonance imaging (fMRI) results. Fourth, we will consider functional and anatomical evidence about the neural networks that seem crucial to convey sensory information to the Amg in the absence of awareness. Firth, we will concentrate on stimulus categories and properties that can be processed non-consciously by the Amg and, finally, we will summarize the behavioral and psychophysiological consequences of emotion perception without awareness. Throughout the review, we will concentrate on vision because this is the system best known in terms of connections with the Amg in human and non-human primates, and because the large majority of human studies investigating Amg’s role in processing emotions without awareness took advantage of visual stimuli.

Different Types of Unawareness for Emotions and How they are Studied

A host of techniques and experimental manipulations have been used to render emotional stimuli not consciously visible. For example, during backward masking an emotional stimulus (e.g., a facial expression) is briefly presented and then immediately followed by a masking stimulus (e.g., a neutral or scrambled face). If the stimulus onset asynchrony (SOA) between the first (target) and second (mask) stimulus is sufficiently brief, then the observer cannot consciously report the presence or the emotional content of the first stimulus (Esteves et al., 1994; Whalen et al., 1998). Binocular rivalry or continuous flash suppression exploit the mutual inhibition between monocular channels in the primary visual cortex (V1) by presenting different images to the corresponding regions of the two eyes (Pasley et al., 2004; Tong et al., 2006; Yoon et al., 2009). In such conditions, the images alternate in dominating perception and, at any moment, only the dominant image enters awareness, whereas the other non-dominant image goes undetected. Other popular paradigms include dual-task designs where the subject’s attention is engaged in an attention-absorbing task, such as matching judgments between neutral stimuli, while an emotional stimulus is presented at task-irrelevant and unattended locations (Vuilleumier et al., 2001a; Pessoa et al., 2002). In the attentional blink, a rapid stream of stimuli is presented and the subject is required to report the presence of a target stimulus. However, if a second target appears in rapid succession after a first successfully detected target (typically within 500 ms), this latter fails to be reported (Anderson, 2005). Many other paradigms such as priming, Stroop-task, dot-probe designs or the redundant target paradigm have been variably used to sample perception without awareness of emotional and non-emotional stimuli, each with their own advantages and limitations (Mogg et al., 1994; Algom et al., 2004; Pourtois et al., 2006; Beall and Herbert, 2008; Hart et al., 2010; Celeghin et al., 2015c).

Although detailed coverage of these different methods goes beyond the purposes of this review, they can be conveniently grouped in two broad categories that entail different functional mechanisms. Dual-task, attentional blink, visual search or Stroop paradigms render the emotional stimulus not consciously visible by interfering with attentional mechanisms. Psychophysical evidence indicates indeed that visual stimuli outside the focus of attention are not, or are only partially, seen consciously (Mack and Rock, 1998). Accordingly, when attentional resources are engaged in a task, cortical activity that is evoked in visual areas by unattended (i.e., task-irrelevant) stimuli is suppressed or significantly reduced by top-down influences from fronto-parietal regions that control voluntary attention (Beck et al., 2001). We refer to these phenomena as attentional unawareness. The processing of emotional information, however, seems less dependent on attentional resources than neutral information (Vuilleumier, 2005). As we will discuss later, this mechanism seems to depend on Amg responsivity.

In contrast, failure to become aware of a stimulus may uniquely depend on sensory reasons, despite attentional selection mechanisms operate normally (Kentridge et al., 2004). For instance, if the energy of the stimulus is below the detection threshold or the exposure time is too brief (subliminal), the stimulus can fail to generate a consciously reportable sensation notwithstanding we attend to it (Savazzi and Marzi, 2002; Dehaene et al., 2006). Backward masking, binocular rivalry or flash suppression do not modulate attention, but interfere temporarily with normal functioning in the ventral occipito-temporal cortex, which is known to be crucial for visual awareness (Macknik and Livingstone, 1998; Williams and Mattingley, 2004; Tong et al., 2006). In this latter case we refer to this type of non-conscious processing as sensory unawareness.

Attentional and sensory unawareness are thus qualitatively different phenomena that can be investigated to sample different Amg functions, while still remaining within the domain of non-conscious processes. For example, attentional unawares is well-suited to examine the role of Amg in biasing orientation toward affective stimuli, and to investigate which mechanisms enable Amg to eventually promote privileged access of emotional signals to awareness. Sensory unawareness can instead reveal alternative visual pathway by which the stimuli can reach the Amg, or their impact toward on-going activities, behaviors or judgments, while still remaining unseen. Lastly, patients with brain damage can be an invaluable additional source of information to broaden our wisdom on Amg functions without awareness. Patients with hemispatial neglect due to right temporo-parietal lesions typically fail to pay attention to the contralesional (left) space, and stimuli appearing on that side often go undetected (Driver and Mattingley, 1998). Therefore, the study of Amg response to emotional stimuli in these patients can add insights into the mechanisms governing attentional unawareness. On the other end, patients with cortical blindness ensuing from damage to, or denervation of, the primary visual cortex (V1) offer a case study to investigate the differences between conscious and non-conscious emotion processing due to sensory, as opposed to attentional, causes and the role of Amg therein (Celeghin et al., 2015b). In fact, the V1 lesion in such patients determines permanent blindness to stimuli projected within the scotoma (the visual field region affected by the cortical lesion), also if the stimuli are supra threshold and long-lasting (Celeghin et al., 2015a,c; Weiskrantz, 2009). Lastly, patients with focal damage to the Amg offer the ultimate ground-truth to translate correlational evidence on Amg functions to causation, by observing whether and how the influence of emotional stimuli during attentional or sensory unawareness, as typically reported in healthy subjects during fMRI experiments, is modified or abolished following Amg lesion (Anderson and Phelps, 2001).

Amygdala Response During Sensory and Attentional Unawareness: Evidence and Limits

Studies reporting Amg response under conditions of attentional or sensory unawareness are summarized in Supplementary Table 1, with indications on the paradigms, stimuli and main findings. Neuroimaging investigations on healthy participants in whom attention was manipulated have often reported that stimulus-evoked activity in the Amg, along with that of other cortical and subcortical structures, is not suppressed when emotional stimuli are unattended (Vuilleumier et al., 2001a; Anderson et al., 2003; Bishop et al., 2004; Williams et al., 2005). Although this has been sometimes interpreted as evidence of strict automaticity in Amg response to emotion, the current evidence is mixed on this issue (Pessoa, 2005; Pessoa et al., 2005; Silvert et al., 2007). For example, Vuilleumier et al. (2001a), showed that Amg activation in response to fearful facial expressions is independent of attention, whereas Pessoa et al. (2002) reported that when attention is engaged elsewhere by a demanding task, Amg response is suppressed. These apparently contradictory results may be partly explained by differences in the tasks and experimental design, which prevent simple or straightforward comparisons. In fact, in the original study by Pessoa et al. (2002), the subjects had to evaluate the gender during trials in which attention was focused on the faces, whereas they had to evaluate the same/different orientation of peripheral bars when faces were unattended. In addition to the focus of attention on faces vs. bars, therefore, also the cognitive load, type of judgment and task requirements varied between the two conditions, whereas in the study by Vuilleumier et al. (2001a) only the focus of attention changed. Also, Pessoa et al. (2002), used a block design, which samples Amg activity across various consecutive repetitions of the same condition and is thus more liable to habituation and less sensitive to physiological responses induced by single events, whereas Vuilleumier et al. (2001a) used an event-related design where the stimuli presented at attended and unattended locations varied randomly between single trials. Another major confounding factor concerns the different responses the Amg displays to various emotion categories. For instance, Williams et al. (2005) found that Amg activity in response to happy facial expressions was greater when faces were attended, whereas for fearful expressions activity was greater when the faces were unattended. Findings gleaned in neuroimaging studies on patients with hemispatial neglect seem more convergent toward Amg ‘automaticity’. Indeed, undetected emotional stimuli on patients’ left side can activate the Amg as well as cortical areas directly connected to it, such as the orbitofrontal cortex or the insula (Vuilleumier et al., 2002; de Gelder et al., 2012; Tamietto et al., 2015). The advantage of addressing the issue of Amg automaticity in neglect patients consists in the fact that no explicit or intentional manipulation of attention is required from the subject, thereby discounting issues related to task differences and attentional load between conditions.

Investigations on sensory unawareness have shown consistently that unseen emotional stimuli elicit activity in the Amg, often along with activity in the superior colliculus and pulvinar (Morris et al., 1998, 1999; Whalen et al., 1998; Critchley et al., 2002; Killgore and Yurgelun-Todd, 2004; Pasley et al., 2004; Williams et al., 2004b, 2006a,b; Liddell et al., 2005; Carlson et al., 2009; Yoon et al., 2009; Juruena et al., 2010; Troiani and Schultz, 2013). But how robust is the Amg response to unseen with respect to seen stimuli? The answer varies markedly amid studies, despite this is an important question to characterize the relative role of Amg during non-conscious processing of emotions. Some reports found indeed that Amg activity during unawareness vs. awareness is the same, others described that in several cases unseen emotions yielded enhanced responses as compared to consciously perceived stimuli (Anderson et al., 2003; Williams et al., 2004b), whereas still others reported greater activity in Amg when participants were aware of emotional expressions (Williams et al., 2006a,b; Amting et al., 2010). Also in this case, methodological differences seem at least partly responsible for the inconsistencies. In fact, assessing the neural bases of emotion perception during sensory unawareness should be based on direct comparisons between consciously and unconsciously, albeit physically identical, stimuli. This type of evidence, however, is difficult to obtain in healthy observers because many paradigms used to make a stimulus invisible for the subject also introduce a spatial and temporal difference from its consciously visible counterpart. At present, investigations on patients with cortical blindness after V1 lesion possibly provide the best opportunity to characterize non-conscious perception of emotions and its neural correlates. These patients can discriminate the emotional content of stimuli that they do not seen consciously, for example guessing whether the stimulus conveys a fearful or happy expression (de Gelder et al., 1999) – a phenomenon known as affective blindsight – and their proficiency is associated with activity in the Amg (de Gelder et al., 1999, 2001; Morris et al., 2001; Hamm et al., 2003; Pegna et al., 2005; de Gelder and Hadjikhani, 2006; Tamietto et al., 2009; Van den Stock et al., 2011b). As it often happens when mixed results are reported, interpretations and theoretical views on the role of Amg tended to cluster along two extremes: those endorsing a strict notion on Amg automaticity and independency from awareness, and those purporting that awareness is a necessary condition for Amg response to occur. Others and we have proposed that neural networks for conscious and non-conscious emotion processing are not entirely segregated (Vuilleumier, 2005; Pessoa et al., 2006; Duncan and Barrett, 2007; Tamietto and de Gelder, 2010; Pourtois et al., 2013). In this context, Amg not only contributes to both modes of processing, but its initial response without awareness actually helps to determine whether the stimulus will reach awareness and how it will modulate behavioral and bodily reactions. Therefore, the temporal dimension of Amg response becomes critical to interpret its role in emotion perception with vs. without awareness, while also offering an additional framework to understand more coherently the seemingly piecemeal findings summarized above.

Timing of Amg Response: Fast Signals for Slow Measures?

The speed of processing has always been regarded as one hallmark of non-conscious emotion perception (LeDoux, 1996). However, human studies on Amg engagement in emotion processing without awareness typically used fMRI, which has high spatial but poor temporal resolution. In fact, fMRI studies usually average together events occurring during a temporal window of about 2 s, due to the sluggishness of blood oxygen level-dependent (BOLD) response. On the other hand, non-invasive methods with higher temporal resolution in the order of milliseconds, such as EEG and MEG, have traditionally had limitations in sampling neural activity in deep structures like the Amg (Costa et al., 2014). Nevertheless, recent technical advancements in sources analysis, such as the synthetic aperture magnetometry (SAM) and sliding windows analysis increased precision and sensitivity in detecting MEG or EEG signal from deep brain structures.

One early study combining MEG and MRI methods reported early event-related synchronization in the Amg at 20–30 ms after stimulus onset, whereas synchronization in the striate cortex occurred later, at about 40–50 ms after stimulus onset (Luo et al., 2007). A more recent MEG study revealed dissociation between rapid Amg responses to automatic fearful face processing and later responses that interacted with voluntary attention. On each trial, participants had to discriminate the orientation of peripheral bars while task-irrelevant neutral or fearful faces were presented centrally. Rapid enhancement of neural activity in the gamma band triggered by threatening faces (30–60 ms) was independent of task load and occurred under attentional unawareness, whereas emotion processing and attention interacted at later latencies (280–340 ms), subsequent to fronto-parietal activity (Luo et al., 2010). Coherently, two other MEG studies applying dynamic causal modelling (DCM) tested the explanatory power of the automatic Amg response allegedly mediated via subcortical route, versus a model predicting only cortical mediation associated with stimulus awareness over Amg response. A model considering also automatic Amg responses mediated by a subcortical route explained early brain activity better than the model including only cortical access to the Amg, whereas both models had comparable explanatory power at longer latencies (Garrido et al., 2012; Garvert et al., 2014). Therefore, MEG data offer new clues to resolve the longstanding controversy concerning automaticity of Amg response based on fMRI results, as described above (Brosch and Wieser, 2011). On such bases, it seems that Amg automaticity is a function of time, and these findings have been interpreted according to a two-stage model of emotion-attention interaction. Early Amg responses afford initial discrimination between threat and neutral stimuli. These responses occur independently of awareness and attention, possibly because the influence of fronto-parietal cortex in reducing the representation strength of task-irrelevant and unattended emotional information during attentional competition requires more time to be effective. Conversely, later Amg responses are modulated by attention because the same top-down fronto-parietal mechanisms have had sufficient time to enhance the representation of task-relevant and attended information in visual areas. Notably, both the early automatic and later attention-modulated Amg responses lie within the time window of one volume acquisition of fMRI studies, likely resulting in the contamination of the rapid effects. In keeping with such view, EEG recordings have revealed that Amg damage influences emotion perception at two distinct time-windows, one early processing within the P1 time-range, around 100–150 ms post-stimulus onset, and one later component, around 500–600 ms (Rothstein et al., 2010). These findings are consistent with the contribution of Amg in emotion perception at multiple processing stages, and the correlation between the degree of Amg damage and the magnitude of EEG effects at both time-windows supports its causal role.

Admittedly, intracranial electrophysiological recordings offer the most reliable source of evidence concerning both automaticity and temporal properties of Amg response. Three studies addressed this issue by recoding signals directly from electrodes implanted in the Amg of patients undergoing pre-surgical assessment. Pourtois et al. (2010b) employed the same dual-task paradigm previously used by Vuilleumier et al. (2001b) to gage Amg automaticity with fMRI measures. Recordings from lateral Amg showed an early neural response that differentiated between fearful and neutral faces in the 140–290 ms time-range, which occurred independently of, and prior to, attentional effect starting at 700 ms post-stimulus onset. Likewise, Sato et al. (2011) showed greater gamma-band activity in response to fear compared to neutral faces between 50 and 150 ms. Even though this study confirmed early responses to emotional stimuli, sensory or attentional unawareness was not manipulated and stimuli were projected centrally for 1 s. Similarly, Hesse et al. (2016) recorded local field potential in three patients with depth electrodes placed in the Amg and found that early activity in Amg (80–200 ms), but not in other temporal, parietal, or frontal sites, predicts rapid encoding of intentional harm from visual scenes (Hesse et al., 2016). Lastly, a recent study by Mendez-Bertolo et al. (2016) found fast Amg responses beginning 74 ms post-stimulus onset specific for fearful compared to neutral or happy facial expressions. Moreover, fast Amg responses were selective to low spatial frequencies components of fearful faces. This sensitivity to low spatial frequencies is important because it is in keeping with the properties of the magnocellular pathway, which is supposed to relay visual signal to the Amg via a subcortical pathway devoted to fast and non-conscious emotion perception (Vuilleumier et al., 2003a).

The present findings raise two interrelated issues of the utmost relevance. The first concerns how visual information exploitable for non-conscious emotion perception reaches the Amg. The second relates to the encoding properties of the pathway(s) that channel visual information to the Amg without awareness, thereby defining which visual properties, stimulus attributes and categories can undergo non-conscious emotion processing and trigger appropriate responses. In the next two sections we will deal separately with each of these issues.

Pathways to the Amg Relevant for Non-Conscious Emotion Perception

The canonical pathway for the transmission of visual information from the retina to the Amg passes through the occipito-temporal cortex along the ventral stream, with the main projection originating from the anterior part of the inferior temporal cortex (TE) (e.g., Kravitz et al., 2013). However, prior studies in rodents documented the role of midbrain structures for rapid but coarse processing of affectively laden auditory and visual stimuli, thereby documenting a subcortical pathway to the Amg that bypasses the primary sensory cortices (Jones and Burton, 1976; Campeau and Davis, 1995; LeDoux, 1996; Doron and Ledoux, 1999; Linke et al., 1999; Shi and Davis, 2001). Neuroimaging data on healthy subjects in whom sensory unawareness for emotional stimuli had been induced by experimental manipulations have shown that the superior colliculus, pulvinar, and Amg are commonly activated in response to non-consciously processed emotional signals (Whalen et al., 1998; Morris et al., 1999; Vuilleumier et al., 2003b; Whalen et al., 2004; Liddell et al., 2005; Williams et al., 2006b). Conversely, the primary cortical route that relays visual input to the Amg does not seem to respond significantly during sensory unawareness, but does so when the emotional stimuli are perceived consciously (Pasley et al., 2004; Williams et al., 2006a,b). Unseen facial and bodily expressions have yielded similar findings when presented in the blind fields of patients with affective blindsight. This indicates that a functional subcortical route to the Amg is invovled in emotion perception during sensory unawareness (Morris et al., 2001; de Gelder et al., 2005, 2011; Pegna et al., 2005; Tamietto and de Gelder, 2010; Van den Stock et al., 2011a,b, 2013, 2015a; Georgy et al., 2016). The involvement of the superior colliculus and pulvinar is in keeping with their connectional pattern and physiological properties. Notably, the superficial layers of the SC receive direct retinal input only from the Magnocellular and Koniocellular channels originating from the parasol and bistratified retinal ganglion cells, respectively (Goldberg and Robinson, 1978; Casagrande, 1994; Waleszczyk et al., 2004). Also the medial subdivision of the inferior pulvinar receives direct projections from the retina, in addition to input originating from the superior colliculus and targeting the centro-medial and posterior subdivisions of the inferior pulvinar. Hence, these subcortical structures are ideally positioned to convey visual input to the Amg and bypass transient or permanent inactivation of the visual cortices. Single cell recordings in monkeys provided independent support for the role of the superior colliculus and pulvinar in encoding emotional expressions (Nguyen et al., 2014). Indeed, a subpopulation of neurons in the superior colliculus responds to faces or face-like images also when the images were filtered in low spatial frequency. Moreover, the magnitude and latency of such responses in the superior colliculus to face images correlated significantly with those recorded in the pulvinar. Noteworthy, neurons in the monkey pulvinar respond differentially to specific emotional expressions, as shown in another cell recording study from the same group (Maior et al., 2010).

Granted the role of a subcortical functional pathway to the Amg devoted to processing emotion under sensory unawareness, are these structures also anatomically connected, besides the functional interactions described above? The presence of anatomical connections between the superior colliculus, pulvinar, and Amg has been documented by tracer studies in birds and rodents. Yet similar evidence in primates was lacking until recently (Pessoa, 2005; Pessoa and Adolphs, 2010). Day-Brown et al. (2010) have provided such evidence in the tree shrew, a species considered a prototypical primate, by showing that the dorsal pulvinar, which receives both topographic and diffuse projections from the superior colliculus, also projects to the Amg, thereby forming a disynaptic pathway. The authors proposed that the role of this pathway is to convey non-topographic visual information from the SC to the Amg, with the purpose of ‘alerting the animal to potentially dangerous visual signals’ (Day-Brown et al., 2010). In an attempt to verify whether such anatomical connections also exist in the human brain, we used diffusion tensor imaging (DTI) and tractography techniques to characterize in vivo the connectivity between the superior colliculus, pulvinar, and Amg in normal observers and its changes in blindsight patient GY (Tamietto et al., 2012). We found fiber connections between pulvinar and Amg and also between superior colliculus and Amg via the inferior-lateral pulvinar in the healthy observer as well as in patient GY. Unilateral V1 lesion increased fiber connections along this pathway, but only in the patient’s damaged hemisphere, thus providing additional support of the functional role of this subcortical route in conveying visual information critical for affective blindsight and non-conscious emotion perception. A recent tractography study by Rafal et al. (2015) also traced connections between colliculus, pulvinar, and Amg in eight monkeys and twenty healthy human participants. Results in human participates were highly coherent with our prior results, while the authors also reported for the first time anatomical evidence of direct and closely similar connections in the monkey brain.

Admittedly, the existence of such subcortical route to the Amg does not exclude other theoretical possibilities or alternative pathways, nor the contribution of cortical areas in different instances of conscious or non-conscious emotion processing (Pessoa and Adolphs, 2010). For example, both the lateral geniculate nucleus and the pulvinar send collateral projections that bypass V1 and target extrastriate visual areas, including areas along the ventral cortical stream that can then relay visual information back to the Amg (Tamietto and Morrone, 2016). Also, two other disynaptic subcortical pathways to the Amg have been recently demonstrated in mice, along with their functional role in triggering innate defensive responses to threatening visual stimuli. Both these pathways originate from the superior colliculus, but one includes the parabigeminal nucleus as intermediate station leading to the Amg (Shang et al., 2015), whereas the other involves the lateral posterior nucleus of the thalamus (Wei et al., 2015). It remains to be established whether these and other potential pathways beyond the well-documented colliculus-pulvinar-Amg play a crucial role for emotion perception without awareness in humans (Figure 1).

FIGURE 1
www.frontiersin.org

FIGURE 1. Major cortical and subcortical visual connections to the Amg. Dashed lines indicate pathways recently reported in mice and not yet confirmed in human and non-human primates. LGN, lateral geniculate nucleus; OFC, orbitofrontal cortex; PBGN, parabigeminal nucleus; PI, pulvinar inferior; PL, pulvinar lateral; PM, pulvinar medial; SC, superior colliculus; TE, temporal inferior rostral; TEO, temporal inferior posterior; ThLP, thalamus lateral posterior; vlPFC, ventro-lateral prefrontal cortex.

These two-routes perspectives involving cortical vs. subcortical input to the Amg have been often conceived or presented as alternative to the two-stages account discussed above and emerging from attentional unawareness or analyses of the temporal profile of Amg responses. However, there is no logical contradiction between these two views nor they must be seen as mutually exclusive. Conversely, empirical evidence seems to indicate they co-exist in the intact brain, and they gain new coherence when considered under the light of the distinction between sensory and attentional unawareness introduced above. In fact, when V1 is not able to process visual information normally, because of either experimental manipulation inducing sensory unawareness or permanent damage, the subcortical route seems the primary non-canonical pathway to convey rapidly visual information to Amg and sustain non-conscious emotion processing. During attentional unawareness in healthy subjects or in patients with neglect, however, the visual cortex is normally functioning and coarse magnocellular input can also reach the Amg from cortical areas in the ventral stream through an initial forward sweep (Vuilleumier, 2005; Pourtois et al., 2013). This can afford rapid processing of unattended stimuli prior to voluntary attentional control (Pourtois et al., 2010a,b) or fine-grained and conscious stimulus perception.

Stimulus Categories and Properties Triggering Amygdala Response Without Awareness

Faces are a privileged medium to express emotions during social and non-social interaction. It is therefore not surprising that the wide majority of studies examining emotion perception in human used facial expressions as visual stimuli (e.g., Adolphs, 2002; D’Agata et al., 2011). Likewise, also research on emotion perception without awareness primarily used facial expressions (Morris et al., 1998, 1999; Whalen et al., 1998; Axelrod et al., 2015). This has contributed to the prevailing view that Amg activity during non-conscious emotion perception is selective for facial expressions (Johnson, 2005; de Gelder et al., 2006). However, recent investigation seems to challenge this view from two parallel lines of findings. On the one hand, Amg activity contingent upon sensory and attentional awareness in healthy as well as brain damaged patients has emerged from the use of non-facial stimuli, thereby extending evidence of non-conscious emotion processing to other stimulus categories. Bodily expressions of emotions, both static and dynamic, have been the most extensively studied non-facial stimuli (de Gelder and Hadjikhani, 2006; de Gelder et al., 2006, 2010; Tamietto et al., 2009; Van den Stock et al., 2011a,b, 2013, 2015a,b; Tamietto et al., 2015). Visual stimuli associated to danger in our evolutionary past, such as snakes and spiders, have also been studied during attentional and sensory unawareness. Non-conscious exposure to these stimuli evokes physiological arousal and amygdala response (Carlsson et al., 2004; Wendt et al., 2008; Alpers et al., 2009; Almeida et al., 2015), particularly if participants were phobic to these classes of stimuli, and activated Amg also when unattended because presented in the affected side of patients with hemispatial neglect (Tamietto et al., 2015). On the other hand, the alleged special status of faces in triggering non-conscious perception and Amg activity is at odd with negative evidence when non-emotional facial characteristics, such as gender or identity, are tested during unawareness (Rossion et al., 2000; Negro et al., 2015). Moreover, facial expressions that communicate more complex emotions like guilt or arrogance, whose meaning lays in the socialization process and is less biologically rooted, also fail to undergo non-conscious emotion processing in patients with affective blindsight (Celeghin et al. (2016).

A certain degree of functional similarity between these different stimulus categories, owing to their common suitability in undergoing non-conscious emotion processing and in triggering Amg response, challenges theories exclusively focused on the specific visual features or on the unique role of faces in conveying emotions. In fact, it suggests an approach that cuts across gross physical differences between stimuli, as they exist between facial and bodily expressions, or between these latter and snakes, to concentrate more on common functional properties of these different stimulus classes. The findings reported above thus converge with the idea that non-conscious emotion processing is not specific for faces, but rather for biologically primitive emotional signals that can be encoded from low spatial frequencies, that are clearly associated with action tendencies, and to which we are evolutionary prepared to respond (Tamietto and de Gelder, 2010). Accordingly, complex affective scenes, as derived from the International Affective Picture System (IAPS), cannot be processed non-consciously in patients with affective blindsight (de Gelder et al., 2002) and do not activate Amg under attentional unawareness tested in patients with neglect (Grabowska et al., 2011).

Evidence therefore indicates that processing the emotional value of complex scenes, facial expressions of social emotions, or personal identity from faces depends critically on conscious visual perception and on the detailed processing of the high spatial frequency information that is characteristically performed by the cortical visual system in the ventral stream. We have already discussed findings about fast Amg responses for low but not high spatial frequency fearful expressions (Vuilleumier et al., 2003a; Mendez-Bertolo et al., 2016). In an attempt to determine the causal role and behavioral consequences of Amg activity during non-conscious perception of low spatial frequencies expressions, we have recently tested two patients with affective blindsight in a combined behavioral/fMRI experiment (de Gelder and Tamietto, in press). Neutral and fearful facial expressions were filtered in high or low spatial frequency. We reasoned that, if non-conscious emotion perception during sensory unawareness relies on subcortical pathway to Amg and magnocellular channels, then the patients should display affective blindsight only in response to low spatial frequency images and this above-chance guessing behavior should be associated with Amg activity. Conversely, above-chance guessing should be abolished by high spatial frequency images and Amg response should drop significantly. Preliminary evidence is in keeping with our hypothesis and lends support to the causal role of subcortical structures in affective blindsight and non-conscious emotion perception (de Gelder and Tamietto, in press).

Consequences of Amg Activity During Non-Conscious Emotion Perception

What are the consequences of Amg activity without stimulus awareness? Do they alter on-going behavior, psychophysiological reactions, or expressive responses toward normally seen environmental stimuli? And, lastly, are these responses felt consciously, even though they cannot be linked to the external triggering event?

Non-conscious perception of emotional stimuli associated with Amg activity often induces behavioral consequences that are associated with characteristic psychophysiological correlates or changes in the bodily state of the unaware observer. These behavioral and psychophysiological outcomes are quantitatively and qualitatively different from those occurring during conscious emotion perception, as they tend to be stronger and faster when awareness is lacking (Williams et al., 2004a; Tamietto et al., 2009, 2015). This suggests that non-conscious perception of emotional stimuli is not simply a degraded version of conscious perception, but a different mode of processing the same stimuli.

For example, emotional stimuli that are unattended, nevertheless interfere with on-going tasks (Eastwood et al., 2003; Hart et al., 2010), and behavioral consequences include delayed disengagement of attention (Georgiou et al., 2005), faster and easier detection than what reported for neutral stimuli, as shown in visual search (Hansen and Hansen, 1988; Ohman et al., 2001), attentional blink paradigms (Anderson, 2005) or in patients with neglect (Vuilleumier and Schwartz, 2001a,b; Williams and Mattingley, 2004; Tamietto et al., 2005, 2007). Notably, damage to the Amg abolishes some of these behavioral effects (Anderson and Phelps, 2001). Similarly, if a neutral stimulus is paired with, or primed by, a non-consciously perceived emotional stimulus, then preferences or attitudes toward the former are shifted accordingly (Niedenthal, 1990; Anders et al., 2009). For instance, consumption behaviors or preference judgments can be influenced by preceding masked facial expressions, despite subjective feelings remain unaltered (Winkielman and Berridge, 2004; Winkielman et al., 2005). Notably, however, when subjects are aware of the presence and nature of the emotional stimuli these effects sometimes disappear (Niedenthal, 1990; Tamietto et al., 2006).

Psychophysiological changes that are associated with non-conscious perception of emotional stimuli include enhanced skin conductance (Esteves et al., 1994; Glascher and Adolphs, 2003) increased magnitude of eye blink (indicating startle reactions or avoidance) (Hamm et al., 2003), changes in stress hormone levels (van Honk et al., 1998), increased pupil dilation (Tamietto et al., 2009, 2015) and heart rate changes (Ruiz-Padial et al., 2005). These changes index arousal or the processing of affective valence, and their function is to prepare the organism for reacting to impeding and salient events. Notably, Amg lesions are associated with reduced eye blink to negative stimuli (Angrilli et al., 1996). Similarly, electromyography (EMG) studies have shown that masked or unseen emotional stimuli also trigger spontaneous facial reactions coherent with the emotional content of the stimuli (Dimberg et al., 2000; Tamietto and de Gelder, 2008b; Tamietto et al., 2009). This spontaneous tendency to synchronize our facial expressions with the emotional meaning of other individuals’ expressions is likely to play a part in social interactions (Frith, 2009).

A different source of evidence on the impact of stimulus processing without awareness comes from studies that used indirect manipulations. For example, indirect methods have been used to sample interference or integration between seen and unseen stimuli in patients with affective blindsight or during masking in healthy observers (de Gelder et al., 2001; Tamietto and de Gelder, 2008a; Bertini et al., 2013; Cecere et al., 2014). A typical example of indirect methods is the redundant target effect (RTE), in which one single stimulus is projected to the intact field or is presented simultaneously with another stimulus in the opposite blind field. Typically, reaction times (RTs) to the seen stimulus are faster during redundant stimulation than during single presentation to the intact field (Celeghin et al., 2015c). With such method, interactions between seen and unseen visual emotional stimuli, and also between (unseen) visual and (perceived) auditory stimuli, have been observed in such patients. For example, presenting an incongruent facial expression to the blind field biases the judgment of the emotional prosody of a sentence fragment (de Gelder et al., 2002, 2005), together with enhanced Amg activity during congruent conditions. These findings converge with the notion that emotion processing with and without stimulus awareness co-exist and interact in the intact brain, though they can be dissociated because of focal brain damage or experimental manipulation. Additional evidence on the motor influence of emotion perception is provided by transcranial magnetic stimulation (TMS) studies (Borgomaneri et al., 2015a,b). Although these studies did not manipulate directly visual awareness, they found extremely rapid sensory-motor modulation in response to fearful bodily expressions, supposedly underlying freezing mechanisms. As these effects are related to changes in the excitability of cortico-spinal downstream projections, but not in cortical excitatory mechanisms, the authors suggest that they are mediated by fast and automatic amygdala responses that rapidly modulate cortico-subcortical interactions before visual stimuli can be fully processed at a conscious level.

Can we experience consciously the bodily changes and emotional feelings determined by the exposure to an unseen and unperceived emotional stimulus? The classical view is that we become aware of such bodily responses when we can link them to the conscious representations of their external or internal determinants (e.g., an angry expression or a sudden noise, or our thoughts, respectively). In fact, some evidence indicates that we are unable to report a conscious feeling despite the fact that, at the same time, our behavior reveals the presence of an affective reaction triggered by the exposure to an external stimulus of which we are unaware. Despite this, however, it is conceivable that we can become aware of our physiological changes without a conscious representation of their external causes. This seems to be a common situation in clinical conditions such as alexithymia, pathological anxiety or depression. Also, one study on patients with affective blindsight has shown that the presentation of an unseen stimulus previously paired with an aversive event enhances eye-blink startle reflex, and this enhancement corresponded to the reported level of negative emotional feelings (Anders et al., 2004).

Concluding Considerations

If emotional stimuli can be processed without awareness, activate the Amg, and still induce coherent responses, what role is left for consciousness in emotions? Some clues come from the observation that the responses observed when emotion processing is accompanied by awareness are often different from those induced by unconscious processing. Enhanced influence of non-consciously perceived emotional signals on physiological or expressive responses is in keeping with results showing that cortical activity and awareness can exert an inhibitory modulation over subcortical areas or automatic responses (Bush and Sejnowski, 1996; Panksepp, 2011). The fact that such inhibition is absent or less prominent during non-conscious perception of emotional stimuli could also explain the apparently paradoxical finding that subcortical activity can be enhanced during non-conscious compared to conscious perception of emotional stimuli in healthy subjects (Anderson et al., 2003; Williams et al., 2004b). Likewise, conscious perception of the eliciting stimulus can overrule subjective affective experience in response to an aversively conditioned stimulus, and the decoupling between conscious feelings and physiological changes correlates with increased activity in the ventro-lateral prefrontal cortex (Anders et al., 2009). These findings contradict the common assumption that emotional feelings merely reflect cortical readouts of peripheral and autonomic arousal. Therefore, the added value of awareness in emotion seems primarily that of integrating representations of the external and internal world in order to achieve context-dependent and higher-order decoupling and flexibility between sensory input and behavioral output. Consciousness also allows control and planning, as well as anticipation of desirable or functional responses.

From the opposite vantage point, emotions seem to play a prominent role in the generation and development of state consciousness, which refers to the different degrees of vigilance, such as wakefulness, alertness, drowsiness, or coma that apply to the whole organism. Our homeostatic regulation depends indeed by the continuous mapping of bodily states and integration of interoceptive information. These homeostatic processes contribute to generate the sense of invariance that accompanies contingent subjective experience, and thus instantiate a neurobiological mechanism for the invariance of the sense of self and the continuity of our first-person experience of the world (Damasio, 1999; Tsuchiya and Adolphs, 2007; Park and Tallon-Baudry, 2014). Neurophysiological responses induced by emotional signals, even when they are unseen, alter homeostatic balance and overlap with changes affecting the general level of state consciousness (Damasio, 1999; Zeman, 2001; Damasio and Carvalho, 2013). It is indeed noteworthy that the bodily responses triggered by emotions are controlled by neural structures in the brainstem that also control the level of consciousness. Accordingly, several scholars consider raw emotional feelings as the precursors or basic forms of consciousness, and have rooted it in subcortical processes rather than (only) in full-blown subjective cognitions implemented in higher-order cortical structure (Panksepp, 2005; Panksepp, 2011; Damasio and Carvalho, 2013; Damasio et al., 2013; LeDoux, 2015). In keeping with this perspective, children with total congenital absence of the cerebral cortex can nevertheless exhibit appropriate affective responses and feelings can be even strengthened (Shewmon et al., 1999). Moreover, direct electrical brain stimulation in subcortical and brainstem structures that evoke observable behavioral and physiological reactions associated with reward and punishment in animals, also induce conscious affective feelings when stimulated in humans (Panksepp, 2005; Panksepp, 2011). Thus, also when we are not aware of the external determinants of an emotional response, because the triggering signal does not become a content of our conscious visual experience, the cascade of physiological reactions it generates in the organism contributes to modulate our state of vigilance and behavior, which are constitutive components of state consciousness.

Author Contributions

MD, AC, AB, and MT wrote the manuscript. MT revised the final version of the manuscript. All authors agreed on the final version of the manuscript

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

AC, MD, and MT are supported by a “Vidi” grant from the Netherlands Organization for Scientific Research (NWO) (grant 452-11-015) and by a FIRB – Futuro in Ricerca 2012 - grant from the Italian Ministry of Education University and Research (MIUR) (grant RBFR12F0BD).

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/article/10.3389/fpsyg.2016.02029/full#supplementary-material

References

Adolphs, R. (2002). Recognizing emotion from facial expressions: psychological and neurological mechanisms. Behav. Cogn. Neurosci. Rev. 1, 21–62. doi: 10.1177/1534582302001001003

PubMed Abstract | CrossRef Full Text | Google Scholar

Algom, D., Chajut, E., and Lev, S. (2004). A rational look at the emotional stroop phenomenon: a generic slowdown, not a stroop effect. J. Exp. Psychol. Gen. 133, 323–338. doi: 10.1037/0096-3445.133.3.323

PubMed Abstract | CrossRef Full Text | Google Scholar

Almeida, I., Soares, S. C., and Castelo-Branco, M. (2015). The distinct role of the amygdala, superior colliculus and pulvinar in processing of central and peripheral snakes. PLoS ONE 10:e0129949. doi: 10.1371/journal.pone.0129949

PubMed Abstract | CrossRef Full Text | Google Scholar

Alpers, G. W., Gerdes, A. B., Lagarie, B., Tabbert, K., Vaitl, D., and Stark, R. (2009). Attention and amygdala activity: an fMRI study with spider pictures in spider phobia. J. Neural. Transm. 116, 747–757. doi: 10.1007/s00702-008-0106-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Amaral, D. G., and Bennett, J. (2000). Development of amygdalo-cortical connection in the macaque monkey. Soc. Neurosci. Abstr. 26, 17–26.

Google Scholar

Amting, J. M., Greening, S. G., and Mitchell, D. G. (2010). Multiple mechanisms of consciousness: the neural correlates of emotional awareness. J. Neurosci. 30, 10039–10047. doi: 10.1523/JNEUROSCI.6434-09.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Anders, S., Birbaumer, N., and Sadowski, B. (2004). Parietal somatosensory association cortex mediates affective blindsight. Nat. Neurosci. 7, 339–340. doi: 10.1038/nn1213

PubMed Abstract | CrossRef Full Text | Google Scholar

Anders, S., Eippert, F., Wiens, S., Birbaumer, N., Lotze, M., and Wildgruber, D. (2009). When seeing outweighs feeling: a role for prefrontal cortex in passive control of negative affect in blindsight. Brain 132(Pt. 11), 3021–3031. doi: 10.1093/brain/awp212

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderson, A. K. (2005). Affective influences on the attentional dynamics supporting awareness. J. Exp. Psychol. Gen. 134, 258–281. doi: 10.1037/0096-3445.134.2.258

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderson, A. K., Christoff, K., Panitz, D., De Rosa, E., and Gabrieli, J. D. (2003). Neural correlates of the automatic processing of threat facial signals. J. Neurosci. 23, 5627–5633.

PubMed Abstract | Google Scholar

Anderson, A. K., and Phelps, E. A. (2001). Lesions of the human amygdala impair enhanced perception of emotionally salient events. Nature 411, 305–309. doi: 10.1038/35077083

PubMed Abstract | CrossRef Full Text | Google Scholar

Angrilli, A., Mauri, A., Palomba, D., Flor, H., Birbaumer, N., Sartori, G., et al. (1996). Startle reflex and emotion modulation impairment after a right amygdala lesion. Brain 119(Pt. 6), 1991–2000. doi: 10.1093/brain/119.6.1991

PubMed Abstract | CrossRef Full Text | Google Scholar

Axelrod, V., Bar, M., and Rees, G. (2015). Exploring the unconscious using faces. Trends Cogn. Sci. 19, 35–45. doi: 10.1016/j.tics.2014.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Beall, P., and Herbert, A. (2008). The face wins: Stronger automatic processing of affect in facial expressions than words in a modified Stroop task. Cogn. Emot. 22, 1613–1642. doi: 10.1080/02699930801940370

CrossRef Full Text | Google Scholar

Beck, D. M., Rees, G., Frith, C. D., and Lavie, N. (2001). Neural correlates of change detection and change blindness. Nat. Neurosci. 4, 645–650. doi: 10.1038/88477

PubMed Abstract | CrossRef Full Text | Google Scholar

Bertini, C., Cecere, R., and Làdavas, E. (2013). I am blind, but I “see” fear. Cortex 49, 985–993. doi: 10.1016/j.cortex.2012.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Bishop, S. J., Duncan, J., and Lawrence, A. D. (2004). State anxiety modulation of the amygdala response to unattended threat-related stimuli. J. Neurosci. 24, 10364–10368. doi: 10.1523/JNEUROSCI.2550-04.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Borgomaneri, S., Vitale, F., and Avenanti, A. (2015a). Early changes in corticospinal excitability when seeing fearful body expressions. Sci. Rep. 5:14122. doi: 10.1038/srep14122

PubMed Abstract | CrossRef Full Text | Google Scholar

Borgomaneri, S., Vitale, F., Gazzola, V., and Avenanti, A. (2015b). Seeing fearful body language rapidly freezes the observer’s motor cortex. Cortex 65, 232–245. doi: 10.1016/j.cortex.2015.01.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Brosch, T., and Wieser, M. J. (2011). The (non)automaticity of amygdala responses to threat: on the issue of fast signals and slow measures. J. Neurosci. 31, 14451–14452. doi: 10.1523/JNEUROSCI.4089-11.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Bush, P., and Sejnowski, T. (1996). Inhibition synchronizes sparsely connected cortical neurons within and between columns in realistic network models. J. Comput. Neurosci. 3, 91–110. doi: 10.1007/BF00160806

PubMed Abstract | CrossRef Full Text | Google Scholar

Bzdok, D., Laird, A. R., Zilles, K., Fox, P. T., and Eickhoff, S. B. (2013). An investigation of the structural, connectional, and functional subspecialization in the human amygdala. Hum. Brain Mapp. 34, 3247–3266. doi: 10.1002/hbm.22138

PubMed Abstract | CrossRef Full Text | Google Scholar

Campeau, S., and Davis, M. (1995). Involvement of subcortical and cortical afferents to the lateral nucleus of the amygdala in fear conditioning measured with fear-potentiated startle in rats trained concurrently with auditory and visual conditioned stimuli. J. Neurosci. 15(3 Pt. 2), 2312–2327.

PubMed Abstract | Google Scholar

Carlson, J. M., Reinke, K. S., and Habib, R. (2009). A left amygdala mediated network for rapid orienting to masked fearful faces. Neuropsychologia 47, 1386–1389. doi: 10.1016/j.neuropsychologia.2009.01.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Carlsson, K., Petersson, K. M., Lundqvist, D., Karlsson, A., Ingvar, M., and Ohman, A. (2004). Fear and the amygdala: manipulation of awareness generates differential cerebral responses to phobic and fear-relevant (but nonfeared) stimuli. Emotion 4, 340–353. doi: 10.1037/1528-3542.4.4.340

PubMed Abstract | CrossRef Full Text | Google Scholar

Casagrande, V. A. (1994). A third parallel visual pathway to primate area V1. Trends Neurosci. 17, 305–310. doi: 10.1016/0166-2236(94)90065-5

CrossRef Full Text | Google Scholar

Cecere, R., Bertini, C., Maier, M. E., and Làdavas, E. (2014). Unseen fearful faces influence face encoding: evidence from ERPs in hemianopic patients. J. Cogn. Neurosci. 26, 2564–2577. doi: 10.1162/jocn_a_00671

PubMed Abstract | CrossRef Full Text | Google Scholar

Celeghin, A., Barabas, M., Mancini, F., Bendini, M., Pedrotti, E., Prior, M., et al. (2015a). Speeded manual responses to unseen visual stimuli in hemianopic patients: what kind of blindsight? Conscious Cogn. 32, 6–14. doi: 10.1016/j.concog.2014.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Celeghin, A., de Gelder, B., and Tamietto, M. (2015b). From affective blindsight to emotional consciousness. Conscious Cogn. 36, 414–425. doi: 10.1016/j.concog.2015.05.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Celeghin, A., Diano, M., Costa, T., Adenzato, M., Mosso, C. O., Weiskrantz, L., et al. (2016). Psychophysiological mechanisms guiding recognition of basic and complex emotions without visual cortex. Neuropsychol. Trends 20, 77.

Celeghin, A., Savazzi, S., Barabas, M., Bendini, M., and Marzi, C. A. (2015c). Blindsight is sensitive to stimulus numerosity and configuration: evidence from the redundant signal effect. Exp. Brain Res. 233, 1617–1623. doi: 10.1007/s00221-015-4236-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Costa, T., Cauda, F., Crini, M., Tatu, M. K., Celeghin, A., de Gelder, B., et al. (2014). Temporal and spatial neural dynamics in the perception of basic emotions from complex scenes. Soc. Cogn. Affect. Neurosci. 9, 1690–1703. doi: 10.1093/scan/nst164

PubMed Abstract | CrossRef Full Text | Google Scholar

Critchley, H. D., Mathias, C. J., and Dolan, R. J. (2002). Fear conditioning in humans: the influence of awareness and autonomic arousal on functional neuroanatomy. Neuron 33, 653–663. doi: 10.1016/S0896-6273(02)00588-3

PubMed Abstract | CrossRef Full Text | Google Scholar

D’Agata, F., Caroppo, P., Baudino, B., Caglio, M., Croce, M., Bergui, M., et al. (2011). The recognition of facial emotions in spinocerebellar ataxia patients. Cerebellum 10, 600–610. doi: 10.1007/s12311-011-0276-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Damasio, A. (1999). The Feeling of What Happens: Body and Emotion in the Making of Consciousness. New York, NY: Harcourt Brace, 386.

Google Scholar

Damasio, A., and Carvalho, G. (2013). The nature of feelings: evolutionary and neurobiological origins. Nat. Rev. Neurosci. 14, 143–152. doi: 10.1038/nrn3403

PubMed Abstract | CrossRef Full Text | Google Scholar

Damasio, A., Damasio, H., and Tranel, D. (2013). Persistence of feelings and sentience after bilateral damage of the insula. Cereb. Cortex 23, 833–846. doi: 10.1093/cercor/bhs077

PubMed Abstract | CrossRef Full Text | Google Scholar

Day-Brown, J. D., Wei, H., Chomsung, R. D., Petry, H. M., and Bickford, M. E. (2010). Pulvinar projections to the striatum and amygdala in the tree shrew. Front. Neuroanat. 4:143. doi: 10.3389/fnana.2010.00143

PubMed Abstract | CrossRef Full Text | Google Scholar

de Gelder, B. (2006). Towards the neurobiology of emotional body language. Nat. Rev. Neurosci. 7, 242–249. doi: 10.1038/nrn1872

PubMed Abstract | CrossRef Full Text | Google Scholar

de Gelder, B., and Hadjikhani, N. (2006). Non-conscious recognition of emotional body language. Neuroreport 17, 583–586. doi: 10.1097/00001756-200604240-00006

PubMed Abstract | CrossRef Full Text | Google Scholar

de Gelder, B., Hortensius, R., and Tamietto, M. (2012). Attention and awareness each influence amygdala activity for dynamic bodily expressions-a short review. Front. Integr. Neurosci. 6:54. doi: 10.3389/fnint.2012.00054

PubMed Abstract | CrossRef Full Text | Google Scholar

de Gelder, B., Meeren, H. K., Righart, R., van den Stock, J., van de Riet, W. A., and Tamietto, M. (2006). Beyond the face: exploring rapid influences of context on face processing. Prog. Brain Res. 155, 37–48. doi: 10.1016/S0079-6123(06)55003-4

PubMed Abstract | CrossRef Full Text | Google Scholar

de Gelder, B., Morris, J. S., and Dolan, R. J. (2005). Unconscious fear influences emotional awareness of faces and voices. Proc. Natl. Acad. Sci. U.S.A. 102, 18682–18687. doi: 10.1073/pnas.0509179102

PubMed Abstract | CrossRef Full Text | Google Scholar

de Gelder, B., Pourtois, G., van Raamsdonk, M., Vroomen, J., and Weiskrantz, L. (2001). Unseen stimuli modulate conscious visual experience: evidence from inter-hemispheric summation. Neuroreport 12, 385–391. doi: 10.1097/00001756-200102120-00040

PubMed Abstract | CrossRef Full Text | Google Scholar

de Gelder, B., Pourtois, G., and Weiskrantz, L. (2002). Fear recognition in the voice is modulated by unconsciously recognized facial expressions but not by unconsciously recognized affective pictures. Proc. Natl. Acad. Sci. U.S.A. 99, 4121–4126. doi: 10.1073/pnas.062018499

PubMed Abstract | CrossRef Full Text | Google Scholar

de Gelder, B., and Tamietto, M. (2011). “Faces, bodies, social vision as agent vision and social consciousness,” in The Science of Social Vision, eds R. Adams, J. N. Ambady, K. Nakayama, and S. Shimojo (New York, NY: Oxford Univesity Press), 51–74.

Google Scholar

de Gelder, B., and Tamietto, M. (in press). “What is the role of conscious awareness in emotion?,” in The Nature of Emotion, eds R. Davidson, A. Shackman, A. Fox, and R. Lapate (New York, NY: Oxford University Press).

Google Scholar

de Gelder, B., Van den Stock, J., Meeren, H. K., Sinke, C. B., Kret, M. E., and Tamietto, M. (2010). Standing up for the body. Recent progress in uncovering the networks involved in the perception of bodies and bodily expressions. Neurosci. Biobehav. Rev. 34, 513–527. doi: 10.1016/j.neubiorev.2009.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

de Gelder, B., van Honk, J., and Tamietto, M. (2011). Emotion in the brain: of low roads, high roads and roads less travelled. Nat. Rev. Neurosci. 12:425. doi: 10.1038/nrn2920-c1

PubMed Abstract | CrossRef Full Text | Google Scholar

de Gelder, B., Vroomen, J., Pourtois, G., and Weiskrantz, L. (1999). Non-conscious recognition of affect in the absence of striate cortex. Neuroreport 10, 3759–3763. doi: 10.1097/00001756-199912160-00007

PubMed Abstract | CrossRef Full Text | Google Scholar

Dehaene, S., Changeux, J. P., Naccache, L., Sackur, J., and Sergent, C. (2006). Conscious, preconscious, and subliminal processing: a testable taxonomy. Trends Cogn. Sci. 10, 204–211. doi: 10.1016/j.tics.2006.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Dimberg, U., Thunberg, M., and Elmehed, K. (2000). Unconscious facial reactions to emotional facial expressions. Psychol. Sci. 11, 86–89. doi: 10.1111/1467-9280.00221

CrossRef Full Text | Google Scholar

Doron, N. N., and Ledoux, J. E. (1999). Organization of projections to the lateral amygdala from auditory and visual areas of the thalamus in the rat. J. Comp. Neurol. 412, 383–409. doi: 10.1002/(SICI)1096-9861(19990927)412:3<383::AID-CNE2>3.3.CO;2-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Driver, J., and Mattingley, J. B. (1998). Parietal neglect and visual awareness. Nat. Neurosci. 1, 17–22. doi: 10.1038/217

PubMed Abstract | CrossRef Full Text | Google Scholar

Duncan, S., and Barrett, L. F. (2007). The role of the amygdala in visual awareness. Trends Cogn. Sci. 11, 190–192. doi: 10.1016/j.tics.2007.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Eastwood, J. D., Smilek, D., and Merikle, P. M. (2003). Negative facial expression captures attention and disrupts performance. Percept. Psychophys. 65, 352–358. doi: 10.3758/BF03194566

PubMed Abstract | CrossRef Full Text | Google Scholar

Esteves, F., Dimberg, U., and Ohman, A. (1994). Automatically elicited fear: conditioned skin conductance responses to masked facial expressions. Cogn. Emot. 8, 99–108. doi: 10.1080/02699939408408949

CrossRef Full Text | Google Scholar

Frith, C. (2009). Role of facial expressions in social interactions. Philos. Trans. R. Soc. Lond. B Biol. Sci. 364, 3453–3458. doi: 10.1098/rstb.2009.0142

PubMed Abstract | CrossRef Full Text | Google Scholar

Garrido, M. I., Barnes, G. R., Sahani, M., and Dolan, R. J. (2012). Functional evidence for a dual route to amygdala. Curr. Biol. 22, 129–134. doi: 10.1016/j.cub.2011.1011.1056

CrossRef Full Text | Google Scholar

Garvert, M. M., Friston, K. J., Dolan, R. J., and Garrido, M. I. (2014). Subcortical amygdala pathways enable rapid face processing. Neuroimage 102(Pt. 2),309–316. doi: 10.1016/j.neuroimage.2014.07.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Georgiou, G. A., Bleakley, C., Hayward, J., Russo, R., Dutton, K., Eltiti, S., et al. (2005). Focusing on fear: attentional disengagement from emotional faces. Vis. Cogn. 12, 145–158. doi: 10.1080/13506280444000076

PubMed Abstract | CrossRef Full Text | Google Scholar

Georgy, L., Celeghin, A., Marzi, C. A., Tamietto, M., and Ptito, A. (2016). The superior colliculus is sensitive to gestalt-like stimulus configuration in hemispherectomy patients. Cortex 81, 151–161. doi: 10.1016/j.cortex.2016.04.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Glascher, J., and Adolphs, R. (2003). Processing of the arousal of subliminal and supraliminal emotional stimuli by the human amygdala. J. Neurosci. 23, 10274–10282.

Google Scholar

Goldberg, M. E., and Robinson, D. L. (1978). “Visual system: superior colliculus,” in Sensory Integration, Vol. 1, ed. R. B. Masterton (New York, NY: Springer), 119–164.

Google Scholar

Grabowska, A., Marchewka, A., Seniów, J., Polanowska, K., Jednoróg, K., and Królicki, L. (2011). Emotionally negative stimuli can overcome attentional deficits in patients with visuo-spatial hemineglect. Neuropsychologia 49,3327–3337. doi: 10.1016/j.neuropsychologia.2011.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamm, A. O., Weike, A. I., Schupp, H. T., Treig, T., Dressel, A., and Kessler, C. (2003). Affective blindsight: intact fear conditioning to a visual cue in a cortically blind patient. Brain 126(Pt. 2), 267–275. doi: 10.1093/brain/awg037

PubMed Abstract | CrossRef Full Text | Google Scholar

Hansen, C. H., and Hansen, R. D. (1988). Finding the face in the crowd: an anger superiority effect. J. Pers. Soc. Psychol. 54, 917–924. doi: 10.1037/0022-3514.54.6.917

CrossRef Full Text | Google Scholar

Hart, S. J., Green, S. R., Casp, M., and Belger, A. (2010). Emotional priming effects during Stroop task performance. Neuroimage 49, 2662–2670. doi: 10.1016/j.neuroimage.2009.10.076

PubMed Abstract | CrossRef Full Text | Google Scholar

Hesse, E., Mikulan, E., Decety, J., Sigman, M., Garcia, M., Silva, W., et al. (2016). Early detection of intentional harm in the human amygdala. Brain 139, 54–61. doi: 10.1093/brain/awv336

PubMed Abstract | CrossRef Full Text | Google Scholar

Janak, P. H., and Tye, K. M. (2015). From circuits to behaviour in the amygdala. Nature 517, 284–292. doi: 10.1038/nature14188

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, M. H. (2005). Subcortical face processing. Nat. Rev. Neurosci. 6, 766–774. doi: 10.1038/nrn1766

PubMed Abstract | CrossRef Full Text | Google Scholar

Jones, E. G., and Burton, H. (1976). A projection from the medial pulvinar to the amygdala in primates. Brain Res. 104, 142–147. doi: 10.1016/0006-8993(76)90654-5

CrossRef Full Text | Google Scholar

Juruena, M. F., Giampietro, V. P., Smith, S. D., Surguladze, S. A., Dalton, J. A., Benson, P. J., et al. (2010). Amygdala activation to masked happy facial expressions. J. Int. Neuropsychol. Soc. 16, 383–387. doi: 10.1017/S1355617709991172

PubMed Abstract | CrossRef Full Text | Google Scholar

Kentridge, R. W., Heywood, C. A., and Weiskrantz, L. (2004). Spatial attention speeds discrimination without awareness in blindsight. Neuropsychologia 42, 831–835. doi: 10.1016/j.neuropsychologia.2003.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Killgore, W. D., and Yurgelun-Todd, D. A. (2004). Activation of the amygdala and anterior cingulate during nonconscious processing of sad versus happy faces. Neuroimage 21, 1215–1223.

PubMed Abstract | Google Scholar

Kravitz, D. J., Saleem, K. S., Baker, C. I., Ungerleider, L. G., and Mishkin, M. (2013). The ventral visual pathway: an expanded neural framework for the processing of object quality. Trends Cogn. Sci. 17, 26–49. doi: 10.1016/j.tics.2012.10.011

PubMed Abstract | CrossRef Full Text | Google Scholar

LeDoux, J. E. (1996). The Emotional Brain. New York, NY: Simon & Shuster.

Google Scholar

LeDoux, J. E. (2015). Axious. New York, NY: Viking.

Leppanen, J. M., and Nelson, C. A. (2009). Tuning the developing brain to social signals of emotions. Nat. Rev. Neurosci. 10, 37–47. doi: 10.1038/nrn2554

PubMed Abstract | CrossRef Full Text | Google Scholar

Liddell, B. J., Brown, K. J., Kemp, A. H., Barton, M. J., Das, P., Peduto, A., et al. (2005). A direct brainstem-amygdala-cortical ’alarm’ system for subliminal signals of fear. Neuroimage 24, 235–243. doi: 10.1016/j.neuroimage.2004.08.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Linke, R., De Lima, A. D., Schwegler, H., and Pape, H. C. (1999). Direct synaptic connections of axons from superior colliculus with identified thalamo-amygdaloid projection neurons in the rat: possible substrates of a subcortical visual pathway to the amygdala. J. Comp. Neurol. 403, 158–170. doi: 10.1002/(SICI)1096-9861(19990111)403:2<158::AID-CNE2>3.0.CO;2-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Luo, Q., Holroyd, T., Jones, M., Hendler, T., and Blair, J. (2007). Neural dynamics for facial threat processing as revealed by gamma band synchronization using MEG. Neuroimage 34, 839–847. doi: 10.1016/j.neuroimage.2006.09.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Luo, Q., Holroyd, T., Majestic, C., Cheng, X., Schechter, J., and Blair, R. J. (2010). Emotional automaticity is a matter of timing. J. Neurosci. 30, 5825–5829. doi: 10.1523/JNEUROSCI.BC-5668-09.2010

CrossRef Full Text | Google Scholar

Mack, A., and Rock, I. (1998). Inattentional Blindness. Cambridge, MA: MIT Press.

Google Scholar

Macknik, S. L., and Livingstone, M. S. (1998). Neuronal correlates of visibility and invisibility in the primate visual system. Nat. Neurosci. 1, 144–149. doi: 10.1038/393

PubMed Abstract | CrossRef Full Text | Google Scholar

Maior, R. S., Hori, E., Tomaz, C., Ono, T., and Nishijo, H. (2010). The monkey pulvinar neurons differentially respond to emotional expressions of human faces. Behav. Brain Res. 215, 129–135. doi: 10.1016/j.bbr.2010.07.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Mendez-Bertolo, C., Moratti, S., Toledano, R., Lopez-Sosa, F., Martinez-Alvarez, R., Mah, Y. H., et al. (2016). A fast pathway for fear in human amygdala. Nat. Neurosci. 19, 1041–1049. doi: 10.1038/nn.4324

PubMed Abstract | CrossRef Full Text | Google Scholar

Mogg, K., Bradley, B. P., and Hallowell, N. (1994). Attentional bias to threat – roles of trait anxiety, stressful events, and awareness. Q. J. Exp. Psychol. A 47, 841–864. doi: 10.1080/14640749408401099

CrossRef Full Text | Google Scholar

Morris, J. S., DeGelder, B., Weiskrantz, L., and Dolan, R. J. (2001). Differential extrageniculostriate and amygdala responses to presentation of emotional faces in a cortically blind field. Brain 124(Pt. 6), 1241–1252. doi: 10.1093/brain/124.6.1241

PubMed Abstract | CrossRef Full Text | Google Scholar

Morris, J. S., Ohman, A., and Dolan, R. J. (1998). Conscious and unconscious emotional learning in the human amygdala. Nature 393, 467–470. doi: 10.1038/30976

PubMed Abstract | CrossRef Full Text | Google Scholar

Morris, J. S., Ohman, A., and Dolan, R. J. (1999). A subcortical pathway to the right amygdala mediating “unseen” fear. Proc. Natl. Acad. Sci. U.S.A. 96, 1680–1685. doi: 10.1073/pnas.96.4.1680

CrossRef Full Text | Google Scholar

Negro, E., D’Agata, F., Caroppo, P., Coriasco, M., Ferrio, F., Celeghin, A., et al. (2015). Neurofunctional signature of hyperfamiliarity for unknown faces. PLoS ONE 10: e0129970. doi: 10.1371/journal.pone.0129970

PubMed Abstract | CrossRef Full Text | Google Scholar

Nguyen, M. N., Matsumoto, J., Hori, E., Maior, R. S., Tomaz, C., Tran, A. H., et al. (2014). Neuronal responses to face-like and facial stimuli in the monkey superior colliculus. Front. Behav. Neurosci. 8:85. doi: 10.3389/fnbeh.2014.00085

PubMed Abstract | CrossRef Full Text | Google Scholar

Niedenthal, P. M. (1990). Implicit perception of affective information. J. Exp. Soc. Psychol. 26, 505–527. doi: 10.1016/0022-1031(90)90053-O

CrossRef Full Text | Google Scholar

Nikolic, I., and Kostovic, I. (1986). Development of the lateral amygdaloid nucleus in the human fetus: transient presence of discrete cytoarchitectonic units. Anat. Embryol (Berl) 174, 355–360. doi: 10.1007/BF00698785

PubMed Abstract | CrossRef Full Text | Google Scholar

Ohman, A., Flykt, A., and Esteves, F. (2001). Emotion drives attention: detecting the snake in the grass. J. Exp. Psychol. Gen. 130, 466–478. doi: 10.1037/0096-3445.130.3.466

PubMed Abstract | CrossRef Full Text | Google Scholar

Panksepp, J. (2005). Affective consciousness: Core emotional feelings in animals and humans. Conscious. Cogn. 14, 30–80. doi: 10.1016/j.concog.2004.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Panksepp, J. (2011). Cross-species affective neuroscience decoding of the primal affective experiences of humans and related animals. PLoS ONE 6: e21236. doi: 10.1371/journal.pone.0021236

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, H. D., and Tallon-Baudry, C. (2014). The neural subjective frame: from bodily signals to perceptual consciousness. Philos. Trans. R. Soc. Lond. B Biol. Sci. 369:20130208. doi: 10.1098/rstb.2013.0208

PubMed Abstract | CrossRef Full Text | Google Scholar

Pasley, B. N., Mayes, L. C., and Schultz, R. T. (2004). Subcortical discrimination of unperceived objects during binocular rivalry. Neuron 42, 163–172. doi: 10.1016/S0896-6273(04)00155-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Pegna, A. J., Khateb, A., Lazeyras, F., and Seghier, M. L. (2005). Discriminating emotional faces without primary visual cortices involves the right amygdala. Nat. Neurosci. 8, 24–25. doi: 10.1038/nn1364

PubMed Abstract | CrossRef Full Text | Google Scholar

Pessoa, L. (2005). To what extent are emotional visual stimuli processed without attention and awareness? Curr. Opin. Neurobiol. 15, 188–196. doi: 10.1016/j.conb.2005.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Pessoa, L., and Adolphs, R. (2010). Emotion processing and the amygdala: from a ‘low road’ to ‘many roads’ of evaluating biological significance. Nat. Rev. Neurosci. 11, 773–783. doi: 10.1038/nrn2920

PubMed Abstract | CrossRef Full Text | Google Scholar

Pessoa, L., Japee, S., Sturman, D., and Ungerleider, L. G. (2006). Target visibility and visual awareness modulate amygdala responses to fearful faces. Cereb. Cortex 16, 366–375. doi: 10.1093/cercor/bhi115

PubMed Abstract | CrossRef Full Text | Google Scholar

Pessoa, L., McKenna, M., Gutierrez, E., and Ungerleider, L. G. (2002). Neural processing of emotional faces requires attention. Proc. Natl. Acad. Sci. U.S.A. 99, 11458–11463. doi: 10.1073/pnas.172403899

PubMed Abstract | CrossRef Full Text | Google Scholar

Pessoa, L., Padmala, S., and Morland, T. (2005). Fate of unattended fearful faces in the amygdala is determined by both attentional resources and cognitive modulation. Neuroimage 28, 249–255. doi: 10.1016/j.neuroimage.2005.05.048

PubMed Abstract | CrossRef Full Text | Google Scholar

Pourtois, G., Schettino, A., and Vuilleumier, P. (2013). Brain mechanisms for emotional influences on perception and attention: what is magic and what is not. Biol. Psychol. 92, 492–512. doi: 10.1016/j.biopsycho.2012.02.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Pourtois, G., Schwartz, S., Seghier, M. L., Lazeyras, F., and Vuilleumier, P. (2006). Neural systems for orienting attention to the location of threat signals: an event-related fMRI study. Neuroimage 31, 920–933. doi: 10.1016/j.neuroimage.2005.12.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Pourtois, G., Spinelli, L., Seeck, M., and Vuilleumier, P. (2010a). Modulation of face processing by emotional expression and gaze direction during intracranial recordings in right fusiform cortex. J. Cogn. Neurosci. 22, 2086–2107. doi: 10.1162/jocn.2009.21404

PubMed Abstract | CrossRef Full Text | Google Scholar

Pourtois, G., Spinelli, L., Seeck, M., and Vuilleumier, P. (2010b). Temporal precedence of emotion over attention modulations in the lateral amygdala: intracranial ERP evidence from a patient with temporal lobe epilepsy. Cogn. Affect. Behav. Neurosci 10, 83–93. doi: 10.3758/CABN.10.1.83

PubMed Abstract | CrossRef Full Text | Google Scholar

Rafal, R. D., Koller, K., Bultitude, J. H., Mullins, P., Ward, R., Mitchell, A. S., et al. (2015). Connectivity between the superior colliculus and the amygdala in humans and macaque monkeys: virtual dissection with probabilistic DTI tractography. J. Neurophysiol. 114, 1947–1962. doi: 10.1152/jn.01016.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

Rossion, B., de Gelder, B., Pourtois, G., Guerit, J. M., and Weiskrantz, L. (2000). Early extrastriate activity without primary visual cortex in humans. Neurosci. Lett. 279, 25–28. doi: 10.1016/S0304-3940(99)00926-X

CrossRef Full Text | Google Scholar

Rothstein, P., Richardson, M. P., Winston, J. S., Kiebel, S. J., Vuilleumier, P., Eimer, M., et al. (2010). Amygdala damage affects event-related potentials for fearful faces at specific time windows. Hum. Brain Mapp. 31, 1089–1105. doi: 10.1002/hbm.20921

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruiz-Padial, E., Mata, J. L., Rodriguez, S., Fernandez, M. C., and Vila, J. (2005). Non-conscious modulation of cardiac defense by masked phobic pictures. Int. J. Psychophysiol. 56, 271–281. doi: 10.1016/j.ijpsycho.2004.12.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Sato, W., Kochiyama, T., Uono, S., Matsuda, K., Usui, K., Inoue, Y., et al. (2011). Rapid amygdala gamma oscillations in response to fearful facial expressions. Neuropsychologia 49, 612–617. doi: 10.1016/j.neuropsychologia.2010.12.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Savazzi, S., and Marzi, C. A. (2002). Speeding up reaction time with invisible stimuli. Curr. Biol. 12, 403–407. doi: 10.1016/S0960-9822(02)00688-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Shang, C., Liu, Z., Chen, Z., Shi, Y., Wang, Q., Liu, S., et al. (2015). BRAIN CIRCUITS. A parvalbumin-positive excitatory visual pathway to trigger fear responses in mice. Science 348, 1472–1477. doi: 10.1126/science.aaa8694

PubMed Abstract | CrossRef Full Text | Google Scholar

Shewmon, D. A., Holmes, G. L., and Byrne, P. A. (1999). Consciousness in congenitally decorticate children: developmental vegetative state as self-fulfilling prophecy. Dev. Med. Child Neurol. 41, 364–374. doi: 10.1017/S0012162299000821

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, C., and Davis, M. (2001). Visual pathways involved in fear conditioning measured with fear-potentiated startle: behavioral and anatomic studies. J. Neurosci. 21, 9844–9855.

PubMed Abstract | Google Scholar

Silvert, L., Lepsien, J., Fragopanagos, N., Goolsby, B., Kiss, M., Taylor, J. G., et al. (2007). Influence of attentional demands on the processing of emotional facial expressions in the amygdala. Neuroimage 38, 357–366. doi: 10.1016/j.neuroimage.2007.07.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Tamietto, M., Castelli, L., Vighetti, S., Perozzo, P., Geminiani, G., Weiskrantz, L., et al. (2009). Unseen facial and bodily expressions trigger fast emotional reactions. Proc. Natl. Acad. Sci. U.S.A. 106, 17661–17666. doi: 10.1073/pnas.0908994106

PubMed Abstract | CrossRef Full Text | Google Scholar

Tamietto, M., Cauda, F., Celeghin, A., Diano, M., Costa, T., Cossa, F. M., et al. (2015). Once you feel it, you see it: insula and sensory-motor contribution to visual awareness for fearful bodies in parietal neglect. Cortex 62, 56–72. doi: 10.1016/j.cortex.2014.10.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Tamietto, M., and de Gelder, B. (2008a). Affective blindsight in the intact brain: neural interhemispheric summation for unseen fearful expressions. Neuropsychologia 46, 820–828. doi: 10.1016/j.neuropsychologia.2007.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Tamietto, M., and de Gelder, B. (2008b). Emotional contagion for unseen bodily expressions: evidence from facial EMG. Paper Presented at the 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008, Article number 4813317, Amsterdam.

Google Scholar

Tamietto, M., and de Gelder, B. (2010). Neural bases of the non-conscious perception of emotional signals. Nat. Rev. Neurosci. 11, 697–709. doi: 10.1038/nrn2889

PubMed Abstract | CrossRef Full Text | Google Scholar

Tamietto, M., Geminiani, G., and de Gelder, B. (2006). Inter-hemispheric cooperation for facial and bodily emotional expressions is independent of visual similarities between stimuli. J. Vis. 6:1063a. doi: 10.1167/6.6.1063

CrossRef Full Text | Google Scholar

Tamietto, M., Geminiani, G., Genero, R., and de Gelder, B. (2007). Seeing fearful body language overcomes attentional deficits in patients with neglect. J. Cogn. Neurosci. 19, 445–454. doi: 10.1162/jocn.2007.19.3.445

PubMed Abstract | CrossRef Full Text | Google Scholar

Tamietto, M., Latini Corazzini, L., Pia, L., Zettin, M., Gionco, M., and Geminiani, G. (2005). Effects of emotional face cueing on line bisection in neglect : a single case study. Neurocase 11, 399–404. doi: 10.1080/13554790500259717

PubMed Abstract | CrossRef Full Text | Google Scholar

Tamietto, M., and Morrone, M. C. (2016). Visual plasticity: blindsight bridges anatomy and function in the visual system. Curr. Biol. 26, R70–R73. doi: 10.1016/j.cub.2015.11.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Tamietto, M., Pullens, P., de Gelder, B., Weiskrantz, L., and Goebel, R. (2012). Subcortical connections to human amygdala and changes following destruction of the visual cortex. Curr. Biol. 22, 1449–1455. doi: 10.1016/j.cub.2012.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Tong, F., Meng, M., and Blake, R. (2006). Neural bases of binocular rivalry. Trends Cogn. Sci. 10, 502–511. doi: 10.1016/j.tics.2006.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Troiani, V., and Schultz, R. T. (2013). Amygdala, pulvinar, and inferior parietal cortex contribute to early processing of faces without awareness. Front. Hum. Neurosci. 7: 241. doi: 10.3389/fnhum.2013.00241

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsuchiya, N., and Adolphs, R. (2007). Emotion and consciousness. Trends Cogn. Sci. 11, 158–167. doi: 10.1016/j.tics.2007.01.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Van den Stock, J., de Gelder, B., Van Laere, K., and Vandenbulcke, M. (2013). Face-selective hyper-animacy and hyper-familiarity misperception in a patient with moderate Alzheimer’s disease. J. Neuropsychiatry Clin. Neurosci. 25, E52–E53. doi: 10.1176/appi.neuropsych.12120390

PubMed Abstract | CrossRef Full Text | Google Scholar

Van den Stock, J., de Jong, S. J., Hodiamont, P. P., and de Gelder, B. (2011a). Perceiving emotions from bodily expressions and multisensory integration of emotion cues in schizophrenia. Soc. Neurosci. 6, 537–547. doi: 10.1080/17470919.2011.568790

PubMed Abstract | CrossRef Full Text | Google Scholar

Van den Stock, J., De Winter, F. L., Ahmad, R., Sunaert, S., Van Laere, K., Vandenberghe, W., et al. (2015a). Functional brain changes underlying irritability in premanifest Huntington’s disease. Hum. Brain Mapp. 36,2681–2690. doi: 10.1002/hbm.22799

PubMed Abstract | CrossRef Full Text | Google Scholar

Van den Stock, J., Tamietto, M., Hervais-Adelman, A., Pegna, A. J., and de Gelder, B. (2015b). Body recognition in a patient with bilateral primary visual cortex lesions. Biol. Psychiatry 77:e31-3. doi: 10.1016/j.biopsych.2013.06.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Van den Stock, J., Tamietto, M., Sorger, B., Pichon, S., Grezes, J., and de Gelder, B. (2011b). Cortico-subcortical visual, somatosensory, and motor activations for perceiving dynamic whole-body emotional expressions with and without striate cortex (V1). Proc. Natl. Acad. Sci. U.S.A. 108, 16188–16193. doi: 10.1073/pnas.1107214108

PubMed Abstract | CrossRef Full Text | Google Scholar

Van den Stock, J., Tamietto, M., Zhan, M., Heinecke, A., Hervais-Adelman, A., Legrand, L. B., et al. (2014). Neural correlates of body and face perception following bilateral destruction of the primary visual cortices. Front. Behav. Neurosci. 8:30. doi: 10.3389/fnbeh.2014.00030

PubMed Abstract | CrossRef Full Text | Google Scholar

van Honk, J., Tuiten, A., van den Hout, M., Koppeschaar, H., Thijssen, J., de Haan, E., et al. (1998). Baseline salivary cortisol levels and preconscious selective attention for threat. A pilot study. Psychoneuroendocrinology 23, 741–747. doi: 10.1016/S0306-4530(98)00047-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Vuilleumier, P. (2005). How brains beware: neural mechanisms of emotional attention. Trends Cogn. Sci. 9, 585–594. doi: 10.1016/j.tics.2005.10.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Vuilleumier, P., Armony, J. L., Clarke, K., Husain, M., Driver, J., and Dolan, R. J. (2002). Neural response to emotional faces with and without awareness: event-related fMRI in a parietal patient with visual extinction and spatial neglect. Neuropsychologia 40, 2156–2166. doi: 10.1016/S0028-3932(02)00045-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Vuilleumier, P., Armony, J. L., Driver, J., and Dolan, R. J. (2001a). Effects of attention and emotion on face processing in the human brain: an event-related fMRI study. Neuron 30, 829–841. doi: 10.1016/S0896-6273(01)00328-2

CrossRef Full Text | Google Scholar

Vuilleumier, P., Armony, J. L., Driver, J., and Dolan, R. J. (2003a). Distinct spatial frequency sensitivities for processing faces and emotional expressions. Nat. Neurosci. 6, 624–631. doi: 10.1038/nn1057

PubMed Abstract | CrossRef Full Text | Google Scholar

Vuilleumier, P., Mohr, C., Valenza, N., Wetzel, C., and Landis, T. (2003b). Hyperfamiliarity for unknown faces after left lateral temporo-occipital venous infarction: a double dissociation with prosopagnosia. Brain 126(Pt. 4), 889–907. doi: 10.1093/brain/awg086

PubMed Abstract | CrossRef Full Text | Google Scholar

Vuilleumier, P., and Schwartz, S. (2001a). Beware and be aware: capture of spatial attention by fear-related stimuli in neglect. Neuroreport 12, 1119–1122. doi: 10.1097/00001756-200105080-00014

PubMed Abstract | CrossRef Full Text | Google Scholar

Vuilleumier, P., and Schwartz, S. (2001b). Emotional facial expressions capture attention. Neurology 56, 153–158. doi: 10.1212/WNL.56.2.153

CrossRef Full Text | Google Scholar

Vuilleumier, P., Schwartz, S., Husain, M., Clarke, K., and Driver, J. (2001b). Implicit processing and learning of visual stimuli in parietal extinction and neglect. Cortex 37, 741–744. doi: 10.1016/S0010-9452(08)70629-4

CrossRef Full Text | Google Scholar

Waleszczyk, W. J., Wang, C., Benedek, G., Burke, W., and Dreher, B. (2004). Motion sensitivity in cat’s superior colliculus: contribution of different visual processing channels to response properties of collicular neurons. Acta Neurobiol. Exp. 64, 209–228.

Google Scholar

Wei, P., Liu, N., Zhang, Z., Liu, X., Tang, Y., He, X., et al. (2015). Processing of visually evoked innate fear by a non-canonical thalamic pathway. Nat. Commun. 6:6756. doi: 10.1038/ncomms7756

PubMed Abstract | CrossRef Full Text | Google Scholar

Weiskrantz, L. (2009). Blindsight: A Case Study Spanning 35 Years and New Developments. Oxford: Oxford University Press.

Google Scholar

Wendt, J., Lotze, M., Weike, A. I., Hosten, N., and Hamm, A. O. (2008). Brain activation and defensive response mobilization during sustained exposure to phobia-related and other affective pictures in spider phobia. Psychophysiology 45, 205–215. doi: 10.1111/j.1469-8986.2007.00620.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Whalen, P. J., Kagan, J., Cook, R. G., Davis, F. C., Kim, H., Polis, S., et al. (2004). Human amygdala responsivity to masked fearful eye whites. Science 306:2061. doi: 10.1126/science.1103617

PubMed Abstract | CrossRef Full Text | Google Scholar

Whalen, P. J., and Phelps, E. A. (eds) (2009). The Human Amygdala. New York, NY: Guilford Press.

Google Scholar

Whalen, P. J., Rauch, S. L., Etcoff, N. L., McInerney, S. C., Lee, M. B., and Jenike, M. A. (1998). Masked presentations of emotional facial expressions modulate amygdala activity without explicit knowledge. J. Neurosci. 18, 411–418.

Google Scholar

Williams, L. M., Das, P., Liddell, B. J., Kemp, A. H., Rennie, C. J., and Gordon, E. (2006a). Mode of functional connectivity in amygdala pathways dissociates level of awareness for signals of fear. J. Neurosci. 26, 9264–9271. doi: 10.1523/JNEUROSCI.1016-06.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, L. M., Liddell, B. J., Kemp, A. H., Bryant, R. A., Meares, R. A., Peduto, A. S., et al. (2006b). Amygdala-prefrontal dissociation of subliminal and supraliminal fear. Hum. Brain Mapp. 27, 652–661. doi: 10.1002/hbm.20208

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, L. M., Liddell, B. J., Rathjen, J., Brown, K. J., Gray, J., Phillips, M., et al. (2004a). Mapping the time course of nonconscious and conscious perception of fear: an integration of central and peripheral measures. Hum. Brain Mapp. 21, 64–74. doi: 10.1002/hbm.10154

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, M. A., Morris, A. P., McGlone, F., Abbott, D. F., and Mattingley, J. B. (2004b). Amygdala responses to fearful and happy facial expressions under conditions of binocular suppression. J. Neurosci. 24, 2898–2904. doi: 10.1523/JNEUROSCI.4977-03.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, M. A., and Mattingley, J. B. (2004). Unconscious perception of non-threatening facial emotion in parietal extinction. Exp. Brain Res. 154, 403–406. doi: 10.1007/s00221-003-1740-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, M. A., McGlone, F., Abbott, D. F., and Mattingley, J. B. (2005). Differential amygdala responses to happy and fearful facial expressions depend on selective attention. Neuroimage 24, 417–425. doi: 10.1016/j.neuroimage.2004.08.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Winkielman, P., and Berridge, K. C. (2004). Unconscious emotion. Curr. Dir. Psychol. Sci. 13, 120–123. doi: 10.1111/j.0963-7214.2004.00288.x

CrossRef Full Text | Google Scholar

Winkielman, P., Berridge, K. C., and Wilbarger, J. L. (2005). Unconscious affective reactions to masked happy versus angry faces influence consumption behavior and judgments of value. Pers. Soc. Psychol. Bull. 31, 121–135. doi: 10.1177/0146167204271309

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoon, K. L., Hong, S. W., Joormann, J., and Kang, P. (2009). Perception of facial expressions of emotion during binocular rivalry. Emotion 9, 172–182. doi: 10.1037/a0014714

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeman, A. (2001). Consciousness. Brain 124, 1263–1289. doi: 10.1093/brain/124.7.1263

CrossRef Full Text | Google Scholar

Keywords: amygdala, attention, hemispatial neglect, blindsight, fMRI neuroimaging, superior colliculus, pulvinar, conscious perception

Citation: Diano M, Celeghin A, Bagnis A and Tamietto M (2017) Amygdala Response to Emotional Stimuli without Awareness: Facts and Interpretations. Front. Psychol. 7:2029. doi: 10.3389/fpsyg.2016.02029

Received: 24 October 2016; Accepted: 14 December 2016;
Published: 10 January 2017.

Edited by:

Marina A. Pavlova, University of Tübingen, Germany

Reviewed by:

Alessio Avenanti, University of Bologna, Italy
Mariska Esther Kret, Leiden University, Netherlands

Copyright © 2017 Diano, Celeghin, Bagnis and Tamietto. 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: Alessia Celeghin, alessia.celeghin@unito.it; a.celeghin@uvt.nl