Abstract
Emotional words are processed rapidly and automatically in the left hemisphere (LH) and slowly, with the involvement of attention, in the right hemisphere (RH). This review aims to find the reason for this difference and suggests that emotional words can be processed superficially or deeply due to the involvement of the linguistic and imagery systems, respectively. During superficial processing, emotional words likely make connections only with semantically associated words in the LH. This part of the process is automatic and may be sufficient for the purpose of language processing. Deep processing, in contrast, seems to involve conceptual information and imagery of a word’s perceptual and emotional properties using autobiographical memory contents. Imagery and the involvement of autobiographical memory likely differentiate between emotional and neutral word processing and explain the salient role of the RH in emotional word processing. It is concluded that the level of emotional word processing in the RH should be deeper than in the LH and, thus, it is conceivable that the slow mode of processing adds certain qualities to the output.
Introduction
This paper concerns emotional words and how these words are processed in the cerebral hemispheres. Our previous review (), based on behavioral, electrophysiological, and neuroimaging research results, indicates that both hemispheres are involved in the processing of emotional words, albeit in different and probably complementary ways. Emotional words are processed rapidly early in processing, and slowly with the involvement of attention later on; the left hemisphere (LH) and the right hemisphere (RH) are likely responsible for this early vs. later stage of processing, respectively1. Automatic processing does not place much demand on processing resources whereas attentional processing is slow, effortful, and under one’s active control. This paper aims to pinpoint the nature of emotional word processing and find the reason for the rapid vs. slow modes of processing. It shows that emotional word processing does not necessarily produce a subjective experience of emotions (though it may); thus, a kind of superficial processing is also possible and is probably the reason for fast and automatic processing of these words in the LH. Deep kind of processing, in contrast, is likely the reason for slow processing of emotional words in the RH.
By emotional word, we refer to any word characterized by emotional connotations (e.g., “lonely,” “poverty,” “neglect,” “bless,” “reward,” “elegant”) or denoting a specific emotional reaction (e.g., “anger,” “happy,” “sadness“). Although emotional words can convey the emotions we feel, they can be used without subjective experiencing of an emotion, as well (see , for a review).We have non-verbal channels – facial expression, prosody, and body language – to communicate emotions. So is there another reason for using emotional words? How do emotional words convey emotional meanings? What underlies the rapid2 vs. slow modes of processing of emotional words? To answer these questions, it is necessary to first explore the purpose of using the language system and its relationship with semantic memory, where meanings and concepts, or knowledge about the world, are represented in the mind. This understanding is fundamental to an understanding of emotional words and concepts and how these words are processed in the cerebral hemispheres. Then we can describe the role that emotional words play in human communication and the reason for the automatic vs. attentional modes of processing of emotional words in the LH and RH.
Accordingly, in the first section of the paper, we present two approaches – disembodied and embodied – to concept representation and meaning access and then an integrative approach that combines the capabilities of both. Next, the linguistic and simulation (i.e., perceptual- or image-based) systems, which are involved in conceptual processing and meaning access, are presented. By the linguistic system here we refer to the system for which linguistic forms3 are also important; thus, meaning is mainly represented in the simulation system (). After that, we describe research results that show how conceptual processing and meaning access occur using the linguistic and simulation systems. Since emotional words are generally more abstract, we will then discuss the discriminating features of abstract and concrete words. Then, we present evidence demonstrating that meaning access during the early, automatic processing of emotional words is superficial and is accomplished by the linguistic system, whereas meaning access during the later attentional processing of emotional words is deep, and involves imagery and the content of autobiographical memory. The paper will end with a proposed framework that attributes the superficial mode of emotional word processing to the LH and the deep mode to the RH.
Meaning Access and Conceptual Processing
Semantic Memory and Approaches to Concept (Meaning) Representation
We store knowledge we have acquired about the world, including concepts, facts, skills, ideas, and beliefs, in a division of long-term memory known as semantic memory (; ; Thompson-Schill et al., 2006). Because concepts play important roles in different cognitive operations, semantic memory is sometimes known as conceptual memory or the conceptual system (e.g., ). Unlike episodic memory, which is a person’s unique memory of events and experiences (e.g., times, places), semantic memory consists of memories shared by members of a culture (Tulving, 1972, 1984). For example, whereas remembering the name and breed of our first dog is dependent on episodic memory, knowing the meaning of the word “dog”4 and what a dog is relies on semantic memory. Thus, studying semantic memory and conceptual processing is a window that guides us toward the way in which word meanings are accessed. When we have a concept for something, it means that we know its meaning. How is a concept stored in semantic memory? What is the nature of the concepts or meanings stored in the mind? Cognitive literature introduces two main approaches in this respect: disembodied or symbolic (amodal) and embodied (modal).
Disembodied Approach
The symbolic approach, which corresponds to the more traditional view, assumes that there is no similarity between components of experience – objects, settings, people, actions, events, mental states, and relations – and concepts stored in the mind. This approach proposes that perceptual –sensory, motor, introspective (e.g., mental states, affective, emotional5) – information about components of experience is transduced (re-described) into arbitrary (language-like) symbols such that the final concept contains no reference to the actual experience per se (e.g., ; Pylyshyn, 1984; see , for review). Thus, abstract symbolic codes constitute concepts and perceptual experiences do not play a role in knowledge representation. Semantic networks which represent semantic relations between concepts constitute one example of this mode of knowledge representation (; Posner and Snyder, 1975).
Embodied Approach
The last two decades have witnessed a surge of interest in alternative models of concept representation clustered under the label embodied or modal approach (e.g., ; Wilson, 2002; ; ). This approach assumes that various sensory (visual, auditory, tactile, etc.), motor, and introspective information about external world experiences is depicted in the brain’s modality-specific systems. Indeed, the claim that concepts are embodied means that they are formed as a result of interactions with objects, individuals, and the real world as a whole in modality-specific brain areas that are responsible for processing the corresponding perceptual information (Zwaan, 2004).
Thus, when an entity (e.g., object, event) is experienced, it activates neurons in the sensory, motor, and affective neural systems. For example, when one sees a car, a group of neurons fires for color, others for shape, a third group for size, and so forth, to represent CAR in one’s vision. Regarding the auditory and tactile sensory modalities, analogous patterns of activation can occur to represent how a car might sound or feel. Moreover, activation of neurons in the motor system represents actions on the car, and activations that occur in emotion-related areas like the amygdala and orbitofrontal regions represent emotional reactions toward the car (, , , ). So concepts have the same structure as perceptual experiences.
Integrative Approach
The cognitive literature has recently appeared to provide support for a middle approach to concept representation that combines the two approaches described above (e.g., Vigliocco et al., 2004; ; , ; Simmons et al., 2008; ). Indeed, considering the organization of the nervous system, it is hard to accept either the pure disembodied or the pure embodied approach. The nervous system has not only modality-specific (unimodal) areas but also supramodal areas. This middle position proposes that concept representation involves some form of symbolic information, along with the activation of sensory, motor, and emotional areas (e.g., ; ; ). To be specific, meaning is both grounded in relation between words and in perceptual experiences (e.g., Vigliocco et al., 2004, 2009). There might, however, be important differences; when meaning access is the product of relation between words, it could be thought of as superficial while meaning access resulting from activating perceptual experiences may be deeper, an idea we come back to later.
suggest the term embodied abstraction, which means that conceptual representation consists of several levels of abstraction from sensory, motor, and emotional input. The top level is highly abstract and activation in this level is sufficient for familiar (already categorized) processes such as lexical decision tasks (). Consequently, processing does not involve activation of modality-specific areas. In contrast, when a deep type of processing is necessary or possible, such as when the exposure duration of words is long (e.g., Simmons et al., 2008), perceptual areas play a greater role in performing a task.
Based on this integrative approach, we can expect words to first create activation in supramodal areas that are not modality-specific, in areas such as the anterior temporal lobe, which has been described as the neural substrate behind semantic memory (Simmons and Barsalou, 2003; ,; Patterson et al., 2007; ; Pulvermüller et al., 2010). Activation in these areas is typically left-lateralized, whereas bilateral activation can be expected when perceptual areas come into play (e.g., Van Dam et al., 2010). This approach likely implies two levels of processing: one level that is rather superficial and another level that is deep and during which activation spreads to modality-specific areas (e.g., visual cortex, auditory cortex, motor cortex). The main point here is that word processing relies on both amodal and modality-specific areas.
Two Systems Involved in Conceptual Processing and Meaning Access
Most researchers working in the fields related to conceptual processing accept that two systems – a language like system (i.e., linguistic system) and a perceptual- or image-based system (i.e., simulation) – are involved in conceptual processing (e.g., Paivio, 1971, 1986, 1991; ; ). A detailed investigation of the role of these two systems is found in LASS theory – linguistic and situated simulation. According to this theory, the linguistic system helps us communicate the concepts that we have stored in our mind and create a network containing semantically associated words. This network encompasses categories of words and relations among concepts.
Simulation or reenactment is the process by which concepts re-evoke or produce perceptual states present when perceiving and acting in the real world. In other words, our perceptual system can become active in the absence of external world entities. Researchers consider simulation to be the factor that supports the spectrum of cognitive functions from perception to thought and reasoning (, ; ; ). For example, being able to name the different colors of an APPLE (red, yellow, green) is possible due to simulation. Simulation is also considered to be situated (; Yeh and Barsalou, 2006). That is, during simulation not only the target object (e.g., APPLE) is simulated, but also settings, actions, and introspections. This triggers an experience of being there. Thus, when an APPLE is simulated, it occurs in a setting like a garden, with apples hanging from the branches of a tree, with someone eating it, probably experiencing a pleasant taste.
As the Figure 1 illustrates, the LASS theory holds that when a word is presented (heard or seen), both the linguistic and simulation systems become active immediately to access its meaning; however, the activation of the linguistic system peaks before that of the simulation system. The reason is probably that the linguistic forms of representation are more analogous to the perceived words than the simulation of related experiences. claimed that, although the simulation system existed long before human beings evolved, the use of the linguistic system was what caused humans to enhance their cognitive performance. It is as though the linguistic system appeared later in human development in order to control the simulation system and increase this system’s ability to represent non-present situations.
FIGURE 1
Yet
Research shows different combinations of the activity of the linguistic and simulation systems underlie a wide variety of tasks. When a superficial mode of processing is sufficient for adequate task performance, processing is supported mostly by the linguistic system and little by the simulation system. In contrast, when the linguistic system cannot complete a task on its own or there is opportunity (more time) for additional processing, attention shifts to the simulation system which takes extra time.
Evidence for Mixtures of Linguistic and Simulation Systems in Conceptual Processing and Meaning Access
The cognitive science literature provides evidence for a superficial mode of processing managed by the early acting linguistic system and a deep mode of processing managed by the later-acting simulation system. Two tasks have provided evidence for this difference in depth of processing: the property verification task and the property generation task. We next describe the results of research employing these two tasks, including one recent study using event-related potentials (ERPs), to further understand the nature of conceptual processing.
Evidence from the property verification task
A property verification task (e.g., Solomon and Barsalou, 2001, 2004;
Nevertheless, task condition may cause participants to mostly rely on the linguistic system. That is, when information in the linguistic system is sufficient, participants do not utilize the simulation system (Solomon and Barsalou, 2004). On true trials, the given property is always part of the concept (e.g., ELEPHANT-“tusk,” SAILBOAT-“mast”). Consequently, the type of false properties presented is the factor that determines whether the processing is superficial or deep. On false trials, if the given property is unrelated to the concept (e.g., AIRPLANE-“cake,” BUS-“fruit”), the involvement of the linguistic system is sufficient for adequate performance. That is because correct responses in this condition are highly correlated with linguistic associativeness; i.e., object and property being associated is equal to a true response and being not associated is equal to a false response. Thus, participants consult only the linguistic system and processing is superficial.
In contrast, when true trials (e.g., ELEPHANT-“tusk,” SAILBOAT-“mast”) are mixed with false trials in which the property is associated to the concept but is not a part of its concept (e.g., TABLE-“furniture,” BANANA-“monkey”), consulting the linguistic system is not sufficient. Consequently, participants must simulate perceptual information for adequate performance. Therefore, research shows participants are quite faster (more than 100 ms) to verify the same true trials when the false trials are unrelated than when they are related (Solomon and Barsalou, 2004). This is evidence that the linguistic system can act faster and produce responses earlier than the simulation system.
Evidence from the property generation task
A property generation task (e.g., Wu and Barsalou, 2009; Santos et al., 2011) is an active, production-oriented task, in which a word for a concept (e.g., “table”) is presented to the participant who is asked to verbally generate its characteristic properties (e.g., “legs,” “surface,” “eating on it”). This task is an important tool in the psychology of concepts; it provides a window into the underlying representation of a concept. The properties that participants produce can reveal which system is involved in meaning access. Since deep retrieval of a concept involves simulation, experts in concepts believe that property generation involves perceptual representation.
In a series of experiments, Santos et al. (2011) gave participants words like “car,” “bee,” “throw,” and “good,” and asked for the following word, that is, what other words came to mind immediately. The words produced in a 5-s period (usually 1–3 words) were analyzed. Analysis of the responses showed the linguistic origins of the various words produced such as compounds (e.g., the response “hive” to “bee” comes from “beehive”), synonyms (e.g., “automobile” in response to “car”), antonyms (e.g., “bad” in response to “good”), root similarity (e.g., “selfish” in response to “self”), and sound similarity (e.g., “dumpy” in response to “lumpy”).
In contrast, when participants were asked what characteristics are typically true of (for instance) “dogs” and responses given during a 15-s period were analyzed, most of the words produced originated in the simulation system. In fact, the first responses were still linguistic-based, but they were followed by responses originating in the simulation system. Thus, later responses described aspects of situations such as physical properties (e.g., “wings” in response to “bee”), setting information (e.g., “flowers” in response to “bee”), and mental states (e.g., “boring” in response to “golf”). Overall, the results suggest that both a faster-acting linguistic system and a slower-acting simulation system are involved in conceptual processing.
Similar findings were obtained when Simmons et al. (2008) administered a property generation task in an MRI scanner. In the first session, participants generated the typical properties of each concept to themselves for 15 s (property generation task), and in the second session, they were given some other words and generated word associates for each one for 5 s (word associate task). In this session, for six presented words, participants were given 15 s to imagine a situation that contained the related concept [situated simulation (SS) task]. For example, for BEE they might imagine a garden with a bee buzzing around flowers and then flying toward a hive and so forth.
To analyze the data, each 15-s period of response time for a single word was divided into two 7.5-s periods, an early one and a later one. The results showed three regions of overlap between the early stage of the property generation task and the word association task: Broca’s area (the left inferior frontal gyrus), left inferior temporal gyrus, and right cerebellum. These regions are responsible for linguistic processing and generating two-word associations (right cerebellum). A different set of regions overlapped between the later stage of the property generation task and the SS task: bilateral posterior areas, precuneus, right middle temporal gyrus, and right middle frontal gyrus. These regions are involved in imagery, episodic memory, and situation representation. Thus, fMRI research corroborates findings from behavioral studies: properties bearing a linguistic relation to presented words were produced earlier than properties bearing a simulation relation.
Evidence from time course analysis
A recent ERP investigation conducted by
The results showed the involvement of both linguistic and simulation systems in responding to both tasks, with the linguistic system being more active during the semantic task and the simulation system during the iconicity task. Participants took a mean 1809 ms to respond to task stimuli. Source analysis using Low Resolution Brain Electromagnetic Tomography (LORETA) showed that, for each trial, activation started (within 300 ms after stimulus onset) around the left inferior frontal gyrus (FC5, F7, T7) and then continued (within 1500–1800 ms after stimulus onset) bilaterally in posterior areas of the brain (O1, O2, P7, P8).
Overall, research findings suggest that, when words are presented, two systems of linguistic and simulation come into play immediately to access their meanings. However, the activation in the linguistic system peaks early on; this type of processing is rather superficial and involves activation of a word’s associates in the LH. In contrast, the activation in the simulation system peaks later; this type of processing is deep and involves SS of the referent of a word, for which bilateral activation may be required.
Abstract vs. Concrete Word Processing
A key topic of discussion concerning word and concept processing relates to abstract words. This is important because abstract words, on average, tend to have more emotional properties than concrete words (
However,
In one study conducted by
As well, neuroimaging research demonstrates that abstract concepts are represented by distributed neural patterns more than concrete concepts (
This paper concerns emotional words, many of which are abstract. So we can predict that the above descriptions of word and concept processing, which show words can be processed superficially or deeply, will apply to emotional words and concepts, as well. A review of the findings related to emotional word processing should help verify this prediction.
Emotional Word Processing and Meaning Access
In the second part of this paper we focus on emotional word processing. We intend to show that, similarly to what we have established thus far for neutral words, a superficial type of processing also occurs for emotional words. Although emotional words possess emotional component, their processing does not necessarily results in emotional states (e.g.,
Thus we suggest that, similarly to what occurs for neutral words, the involvement of a perceptual- or image-based system is likely necessary for deep processing of emotional words. There is, however, one important difference between deep processing of neutral and emotional words. In deep processing of emotional words, emotional properties6 likely have a crucial influence on the outcome of the processing. This notion does not deny the important role that perceptual (i.e., visual, auditory, etc.) properties play in this process. As a result, we can imagine deep processing of emotional words which may involve reactivation7 of emotional properties, to be able to create emotional states in the individual (e.g.,
Therefore, the principal question in this part is: what does happen when emotional words are presented? In the following sections, after introducing emotional concepts, related approaches, and an overview of the lateralization of emotional word processing, we attempt to answer this question and find the reason for rapid vs. slow modes of processing of emotional words in the cerebral hemispheres.
Emotional Concepts
Emotional concepts (e.g., FIGHT, SPIDER, JOY, ANGER) represent knowledge about emotions, that is, the meaning of emotional information. They hold information about behaviors associated with emotions (e.g., actions), how emotions are elicited (e.g., situations), and subjective experiences and bodily states that occur when we are in an emotional state (
Regarding the nature of emotional concepts, the literature on emotion, perhaps under the influence of cognitive studies, has adopted two approaches: disembodied or amodal and embodied or modal. In the disembodied approach (Teasdale, 1999; Philippot and Schaefer, 2001), emotions are represented in an amodal fashion, devoid of their perceptual and emotional properties. Namely, emotional information that is initially encoded in different modalities (i.e., visual, auditory, etc.) is represented and stored in the conceptual system separate from its perceptual and emotional properties. Thus, just as people know that CHAIR possesses the properties of seat, back, and legs, they know that ANGER comprises the experience of frustration, a desire to fight, maybe a clenched fist, and a rise in blood pressure.
On the other hand, the embodied or modal approach proposes that sensory, motor, and emotional states triggered during an encounter with an emotion-evoking stimulus (e.g., a SNAKE) are captured and stored in modality-specific brain areas (
Similar to word and concept processing in general, the literature provides evidence for rapid simultaneous activation of the linguistic and emotional areas in the LH when emotional words are presented (e.g.,
In contrast, when an explicit task like emotional Stroop task9 is used, later ERP components like late positive component (LPC) that occur more than 300 ms from stimulus onset, appear and processing is stronger in the RH. This type of processing is slow, requires attention, and also the involvement of some other areas including anterior cingulate and dorsolateral prefrontal cortex (
Two Levels of Emotional Word Processing
Superficial Level
Research suggests that emotional word processing is not always accompanied by feeling an emotion. Indeed, an emotional word can be processed superficially, such that no subjective experience of emotion (emotional feeling) becomes involved. That is to say, although emotional words possess emotional properties, their processing does not necessarily lead to feeling an emotion.
One task that demonstrates this finding is the sentence unscrambling task (e.g., Srull and Wyer, 1979;
After performing the task, participants completed a self-report measure of emotional state and also a lexical decision experiment. The results indicated that unscrambling emotional sentences did not affect participants’ emotional state. Yet, performing the task was effective in priming semantically related words having emotional component, because participants made faster lexical decisions about words that were congruent with the activated concept than about incongruent words (e.g., “joke” primed “sunbeam,” not “speech”; “tears” primed “disease,” not “breath”). Thus, participants could encounter emotional words and construct sentences with an emotional meaning, but without reactivating that meaning sufficiently to trigger an emotional subjective experience.
Here, we need to make a distinction between high-level subjective emotional experience that we refer to in this paper and low-level affective or arousal changes that seem to occur automatically early in processing (e.g.,
So emotions are not necessarily experienced when we encounter emotional words. That is probably because emotional words are processed only superficially at first. In order to feel an emotion, it appears that the brain areas responsible for emotion must reactivate an emotional experience. Accordingly,
Therefore, reactivation of emotional states is likely a prerequisite for subjective experiencing of an emotion; activation of associated words does not lead to emotional feelings. If we know that concepts are grounded not only in sensory and motor experiences but also in emotional experiences, we can expect reactivation of emotional experiences, similar to the reactivation of sensory and motor experiences, to occur (
Deep Level
Evidence from the property verification task
Researchers working in areas related to emotion have used the property verification task to show that the emotional properties of concepts can be reactivated using the same system that supports emotional responses to an object or event. For example, in Vermeulen et al.’s (2007) study, not only perceptual (e.g., visual, auditory) but also emotional (pleasant and unpleasant) properties of concepts were taken into consideration. Half of the trials were constructed of concepts paired with properties coming from the same modality as in the previous trial (e.g., TRIUMPH-“exhilarating”/COUPLE-“happy”) and the other half of concepts paired with properties coming from different modalities than in the previous trial (e.g., FRIEND-“tender”/TREASURE-“bright”). In such a task, verifying, for instance, that TRIUMPH can be “exhilarating” or a COUPLE can be “happy” involves reactivating emotional properties in the emotional system whereas verifying that a FRIEND can be “tender” after verifying that a TREASURE can be “bright” reactivate two different systems (the emotional system for the former and the visual system for the later).
Thus, similar to the switching cost for neutral pairs that we reviewed earlier (e.g., Pecher et al., 2003), the results showed slower reaction times and higher error rates when judgments required participants to switch modalities, that is, when trials with emotional properties were preceded by trials with perceptual properties. This finding suggests that, in order to verify an emotional property, this property needs to be reactivated by the emotional system.
Evidence from the property generation task
Property generation tasks have yielded the same conclusion as property verification tasks. Since emotional words are more abstract, we would expect participants to generate and focus on situations, events and introspective (including emotional) properties when a property generation task is used (
For “pride,” words or phrases like “school,” “sport,” “good marks,” “winning a game,” “did well,” “applause,” “throwing a party,” “feeling happy,” and “significant others (parents, friends, family)” were produced. Likewise, for “disappointment,” words or phrases like “doing badly,” “losing,” “failing psychophysiology,” “getting an F,” “exams,” “driving test,” “shame,” “fear,” “feeling angry,” and “depression” were generated. As indicated, almost all the words generated referred to situations, actions, and introspective states, and many referred directly to emotional states. Producing words or phrases like “feeling happy” even suggests the possibility that the participant may experience an emotion (
One point that merits special attention and seems to be indicated by the results is the likely activation of autobiographical memory when emotional words are processed. Here, we need to consider the differentiating feature of autobiographical memory and episodic memory. In fact, some researchers treat autobiographical and episodic memory as synonyms, but others believe they should be treated separately (e.g., Tulving, 1983;
In the next section, we discuss autobiographical memory which seems to provide the content for imagery11 system and whose role in emotional word processing is likely comparable with semantic memory which provides content for the simulation system. While literature suggests that semantic memory is likely centered in the LH, the concentration of autobiographical memory seems to be in the RH (see
Imagery, Autobiographical Memory, and the RH
As mentioned above, reactivation (simulation) of stored information appears to be necessary for deep processing of word stimuli. We also know that a slow type of processing for which attention is necessary and which is concentrated in the RH probably occurs for emotional words (
In fact, the relationship between imagery and emotion is mediated by autobiographical memory. That is to say, a link between imagery and autobiographical memory is responsible for the emotional outcomes of image use.
Research even suggests a causal relationship between imagery and emotion (
Taking lateralization into consideration, the distinguishing feature of emotional word processing, i.e., imagery and the contribution of autobiographical memory should be responsible for the role that the RH play in this processing. Since the center of autobiographical memory retrieval is likely located in the RH (Tulving et al., 1994;
The Suggested Framework: How Does Superficial vs. Deep Processing Occur?
One outcome of the above-mentioned superficial vs. deep processing types is that when we encounter an emotional word, we might access its semantically associated words, but not its perceptual and emotional properties. Following
For example, a word like “flower” might activate words like “rose,” “beautiful,” “fragrance,” and “branch.” When processing becomes deep due to, for instance, employing an explicit task or longer exposure duration of stimuli, the activated words lead to the recall of contents in autobiographical memory in which FLOWER can be found: this involves imagery. Therefore, depending on the individual’s memory content, a situation containing concepts like GARDEN, SPRING, PARK, WALKING, and NICE WEATHER may become active and the individual may see himself walking in a garden full of flowers in the spring, with nice weather, and finally perhaps feeling a pleasant emotional state.
On the unpleasant side, a word like “cancer” may activate words like “fear,” “bad,” “pain,” “disease,” and “death.” When processing becomes deeper, depending on the individual’s memory contents, a situation containing concepts like CHEMOTHERAPY, HOSPITAL, SURGERY, and FIGHT may be activated and the individual may see himself in a hospital room with a patient battling cancer and be left feeling an unpleasant emotional state. Obviously, not such an elaborated scenario is necessary or occurs all the time. So what may occur can be reactivation of only perceptual properties without emotional properties, or reactivation of emotional properties along with part of perceptual properties, etc.
Creating an emotional state, then, requires that autobiographical memory contents be activated and, consequently, that the emotional properties of an emotional concept are experienced; this is not possible unless imagery is involved. That is, activating semantically associated words and a superficial mode of processing does not lead to the experience of an emotional state per se. As well, activating perceptual properties does not create emotional feelings.
In sum, when emotional words are presented, the two systems of linguistic and imagery can become active. However, the linguistic system for which the LH is dominant seemingly operates automatically and, thus, peaks before the imagery system. As a result of this process emotional words likely establish a link with semantically associated words. When this superficial mode of processing is sufficient for adequate task performance, processing is supported mostly by the linguistic system and does not involve emotional feelings.
In contrast, when the linguistic system cannot complete a task on its own, or when there is more time to process emotional words, the imagery system may become involved. In this type of processing, the retrieval of past memories and situations containing these concepts occurs. This processing is deep and may be followed with subjective experiencing of an emotional state. We do not claim that processing in the RH always triggers an emotional state, but the level of processing in the RH should be deeper than in the LH and involves imagery. This latter stage, for which the RH is likely more responsible than the LH, is slow because more components (i.e., reactivation of perceptual and emotional properties) are involved.
Conclusion
This paper investigates emotional words and the reason for fast vs. slow processing of these words, which occurs mainly in the LH and RH, respectively. Although we can use emotional words to convey emotional feelings, experiencing emotions may not be the primary outcome of using emotional words. This review suggests two systems of the linguistic and image-based (imagery) are involved in the processing of emotional words. As long as the processing involves mainly the linguistic system, emotional word processing does not necessarily result in emotional states.
Further research should be carried out using emotional words and tasks pinpointing a superficial vs. deep level of processing. Taking into consideration the few studies that have examined these two levels, using tasks such as word verification and word generation tasks should be helpful in revealing further aspects of this process. In addition, by using short vs. long exposure durations or tasks targeting superficial vs. deep processing, emotional word processing can be compared in the two hemispheres.
Thus, the level of emotional word processing in the RH should be deeper than in the LH and, thus, it is conceivable that the slow mode of processing in the RH adds certain qualities (reactivating perceptual and emotional properties) to the output.
Statements
Acknowledgments
This review was supported by the Canadian Institutes of Health Research (grants MOP-93542 & IOP-118608 to YJ).
Conflict of interest
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.
Footnotes
1.^This statement about the role of the LH and RH in early and later stage of emotional word processing, respectively, does not mean that processing occurs only in the LH or the RH. Instead, it implies that at these stages, the center of processing is in the LH or RH: there is relatively stronger activation in these respective hemispheres.
2.^In this paper, we use automatic and rapid and also attentional and slow interchangeably.
3.^A category of things distinguished by some common characteristic or quality (http://www.oxforddictionaries.com). Indeed, language is divided into content (meanings), form (i.e., rules, categories, structures), and use (pragmatics or the social use of language).
4.^Throughout this paper, when we talk about words vs. concepts, quotation marks will be used to indicate words (e.g., “dog”) and uppercase will represent concepts (e.g., DOG). Italics are used to introduce new key technical terms or labels.
5.^Although the terms emotion and affect are mostly used interchangeably, it is important not to confuse them. Affects are composed of responses involving respiratory system, blood flow changes, facial expressions, vocalizations, and viscera over which one has little control (Tomkins, 1995, p. 54). Affects, indeed, represent the way the body prepares itself for action in a given circumstances. Feelings and emotions, in contrast, are personal, biographical, and social, in the sense that every individual has his own set of sensations which are compared with previous experiences. While affects endow intensity to what we feel, feelings and emotions help us interpret and recognize the quality (i.e., pleasant, unpleasant) of our experiences and make our decision making activities more rational. Namely, the experience of emotions is highly subjective (
6.^Properties or attributes perceived by emotional system. In general, emotional properties are considered as part of perceptual properties (e.g.,
7.^Since simulation is mostly considered to be an automatic process and, as we will see later on, deep processing of emotional words probably requires more attentional components due to the role that imagery plays in this processing (Pecher et al., 2009), we use the term reactivation as a substitute for simulation for deep processing of emotional words. We wish to be sufficiently cautious about the automatic vs. attentional nature of simulation and imagery, respectively.
8.^This negative potential occurs in posterior scalp regions, 200–300 ms after word onset, for both negative and positive high-arousal words. It has been attributed to the arousal feature of emotional words and appears predominantly in the left occipitotemporal region (
9.^The emotional Stroop task is a version of the standard Stroop task (Stroop, 1935) in which participants are required to respond to the ink color of a color word while ignoring its meaning (e.g., the word green written in red ink). Since reading is an automatic process, naming the color in which a word is written requires the allocation of attention and, hence, causes longer naming times (the Stroop effect). Similarly, in the emotional Stroop task, naming the color of an emotional word takes longer than naming the color of a neutral word (the emotional Stroop effect). This effect reflects the fact that attention is captured by the emotional content of words (Williams et al., 1996).
10.^Only the first two levels seem to be relevant to the topic of this paper.
11.^Concept experts always compare simulation with imagery. While simulation is essentially an automatic process, attention is involved in imagery (Pecher et al., 2009). This conclusion is based on the results of research comparing these two processes (e.g., Wu and Barsalou, 2009). Participants in the imagery group were explicitly asked to form an image of a concept when responding to task items, while participants in the control group were required only to think about that concept and were not instructed to form an image. The claim that simulation occurs automatically arises from the results shown by the control group in this research, which presented similar results to the imagery group, implying that the control group also used imagery to respond.
12.^Recall that
References
1
AbbassiE.KahlaouiK.WilsomM. A.JoanetteY. (2011). Processing the emotions in words: the complementary contributions of the left and right hemispheres.Cogn. Affect. Behav. Neurosci.11372–385. 10.3758/s13415-011-0034-1
2
BarghJ. A.ChaikenS.RaymondP.HymesC. (1996). The automatic evaluation effect: unconditional automatic attitude activation with a pronunciation task.J. Exp. Soc. Psychol.32104–128. 10.1006/jesp.1996.0005
3
BarrettL. F. (2006). Solving the emotion paradox: categorization and the experience of emotion.Pers. Soc. Psychol. Rev.1020–46. 10.1207/s15327957pspr1001_2
4
BarsalouL. W. (1999). Perceptual symbol systems.Behav. Brain Sci.22577–609, 610–560. 10.1017/s0140525x99002149
5
BarsalouL. W. (2003a). Abstraction in perceptual symbol systems.Philos. Trans. R. Soc. Lond. B Biol. Sci.3581177–1187. 10.1098/rstb.2003.1319
6
BarsalouL. W. (2003b). Situated simulation in the human conceptual system.Lang. Cogn. Process.18513–562. 10.1080/01690960344000026
7
BarsalouL. W. (2008). Grounded cognition.Annu. Rev. Psychol.59617–645. 10.1146/annurev.psych.59.103006.093639
8
BarsalouL. W. (2009). Simulation, situated conceptualization, and prediction.Philos. Trans. R. Soc. Lond. B Biol. Sci.3641281–1289. 10.1098/rstb.2008.0319
9
BarsalouL. W.HaleC. R. (1993). “Components of conceptual representation: from feature lists to recursive frames,” in Categories and Concepts: Theoretical Views and Inductive Data Analysis, edsVan MechelenI.HamptonJ.MichalskiR.TheunsP. (New York: Academic Press), 97–144.
10
BarsalouL. W.NiedenthalP. M.BarbeyA.RuppertJ. (2003). “Social embodiment,” in The Psychology of Learning and Motivation, ed.RossB. (San Diego, CA: Academic Press), 43–92.
11
BarsalouL. W.SantosA.SimmonsW. K.WilsonC. D. (2008). “Language and simulation in conceptual processing,” in Symbols, Embodiment, and Meaning, edsDe VegaM.GlenbergA. M.GraesserA. (Oxford: Oxford University Press), 245–283. 10.1093/acprof:oso/9780199217274.003.0013
12
BarsalouL. W.SolomonK. O.WuL. L. (1999). “Perceptual simulation in conceptual tasks, in cultural, typological, and psychological perspectives in cognitive linguistics,” in The Proceedings of the 4th Conference of the International Cognitive Linguistics Association, edsHiragaM. K.SinhaC.WilcoxS. (Amsterdam: John Benjamins), 209–228.
13
BarsalouL. W.Wiemer-HastingsK. (2005). “Situating abstract concepts,” in Grounding Cognition: The Role of Perception and Action in Memory, Language, and Thought, edsPecherD.ZwannR. (New York: Cambridge University Press), 129–163. 10.1017/CBO9780511499968.007
14
BinderJ. R.DesaiR. H. (2011). The neurobiology of semantic memory.Trends Cogn. Sci.15527–536. 10.1016/j.tics.2011.10.001
15
CabezaR.NybergL. (2000). Imaging cognition II: an empirical review of 275 PET and fMRI studies.J. Cogn. Neurosci.121–47. 10.1162/08989290051137585
16
CabezaR.PrinceS. E.DaselaarS. M.GreenbergD. L.BuddeM.DolcosF.et al (2004). Brain activity during episodic retrieval of autobiographical and laboratory events: an fMRI study using a novel photo paradigm.J. Cogn. Neurosci.161583–1594. 10.1162/0898929042568578
17
ChaoL. L.MartinA. (2000). Representation of manipulable man-made objects in the dorsal stream.Neuroimage12478–484. 10.1006/nimg.2000.0635
18
CitronF. M. (2012). Neural correlates of written emotion word processing: a review of recent electrophysiological and hemodynamic neuroimaging studies.Brain Lang.122211–226. 10.1016/j.bandl.2011.12.007
19
CitronF. M.GrayM. A.CritchleyH. D.WeekesB. S.FerstlE. C. (2014). Emotional valence and arousal affect reading in an interactive way: neuroimaging evidence for an approach-withdrawal framework.Neuropsychologia5679–89. 10.1016/j.neuropsychologia.2014.01.002
20
CollinsA. M.LoftusE. F. (1975). A spreading-activation theory of semantic processing.Psychol. Rev.82407–428. 10.1037/0033-295X.82.6.407
21
ConwayM. A. (1990). “Conceptual representation of emotions: the role of autobiographical memories,” in Lines of Thinking: Reflections on the Psychology of Thought, Volume 2. Skills, Emotion, Creative Processes, Individual Differences and Teaching Thinking, edsGilhoolyK. J.KeaneM. T. G.LogieR. H.ErdosG. (Chichester: John Wiley & Sons), 133–143.
22
DamasioA. R. (1989). Time-locked multiregional retroactivation: a systems-level proposal for the neural substrates of recall and recognition.Cognition3325–62. 10.1016/0010-0277(89)90005-X
23
DamasioA. R.DamasioH. (1994). “Cortical systems for retrieval of concrete knowledge: the convergence zone framework,” in Large-Scale Neuronal Theories of the Brain, edsKochC.DavisJ. L. (Cambridge, MA: MIT Press), 61–74.
24
FodorJ. (1975). The Language of Thought.Cambridge, MA: Harvard University Press.
25
GalleseV. (2003). The roots of empathy: the shared manifold hypothesis and the neural basis of intersubjectivity.Psychopathology3671–180. 10.1159/000072786
26
GalleseV.LakoffG. (2005). The brain’s concepts: the role of the sensory-motor system in conceptual knowledge.Cogn. Neuropsychol.22455–479. 10.1080/02643290442000310
27
GlaserW. R. (1992). Picture naming.Cognition4261–105. 10.1016/0010-0277(92)90040-O
28
GlenbergA. M. (2010). Embodiment as a unifying perspective for psychology.Wiley Interdiscip. Rev. Cogn. Sci.1586–596. 10.1002/wcs.55
29
HavasD. A.GlenbergA. M.RinckM. (2007). Emotion simulation during language comprehension.Psychon. Bull. Rev.14436–441. 10.3758/BF03194085
30
HerbertC.HerbertB. M.PauliP. (2011). Emotional self-reference: brain structures involved in the processing of words describing one’s own emotions.Neuropsychologia492947–2956. 10.1016/j.neuropsychologia.2011.06.026
31
HolmesE. A.MathewsA. (2005). Mental imagery and emotion: a special relationship?Emotion5489–497. 10.1037/1528-3542.5.4.489
32
HolmesE. A.MathewsA. (2010). Mental imagery in emotion and emotional disorders.Clin. Psychol. Rev.30349–362. 10.1016/j.cpr.2010.01.001
33
HolmesE. A.MathewsA.MackintoshB.DalgleishT. (2008). The causal effect of mental imagery on emotion assessed using picture-word cues.Emotion8395–409. 10.1037/1528-3542.8.3.395
34
Innes-KerA.NiedenthalP. M. (2002). Emotion concepts and emotional states in social judgment and categorization.J. Pers. Soc. Psychol.83804–816. 10.1037/0022-3514.83.4.804
35
KanI. P.BarsalouL. W.Olseth SolomonK.MinorJ. K.Thompson-SchillS. L. (2003). Role of mental imagery in a property verification task: fMRI evidence for perceptual representations of conceptual knowledge.Cogn. Neuropsychol.20525–540. 10.1080/02643290244000257
36
KieferM.SchuchS.SchenckW.FiedlerK. (2007a). Mood states modulate activity in semantic brain areas during emotional word encoding.Cereb. Cortex171516–1530. 10.1093/cercor/bhl062
37
KieferM.SimE.-J.LiebichS.HaukO.TanakaJ. W. (2007b). Experience dependent plasticity of conceptual representations in human sensory-motor areas.J. Cogn. Neurosci.19525–542. 10.1162/jocn.2007.19.3.525
38
KisslerJ.HerbertC.PeykP.JunghoferM. (2007). Buzzwords: early cortical responses to emotional words during reading.Psychol. Sci.18475–480. 10.1111/j.1467-9280.2007.01924.x
39
KosslynS. M.GanisG.ThompsonW. L. (2001). Neural foundations of imagery.Nat. Rev. Neurosci.2635–642. 10.1038/35090055
40
KosslynS. M.ThompsonW. L.GanisG. (2006). The Case for Mental Imagery.Oxford: Oxford University Press. 10.1093/acprof:oso/9780195179088.001.0001
41
KoustaS. T.ViglioccoG.VinsonD. P.AndrewsM.Del CampoE. (2011). The representation of abstract words: why emotion matters.J. Exp. Psychol. Gen.14014–34. 10.1037/a0021446
42
LouwerseM. M. (2008). Embodied relations are encoded in language.Psychon. Bull. Rev.15838–844. 10.3758/PBR.15.4.838
43
LouwerseM. M. (2011). Symbol interdependency in symbolic and embodied cognition.Top. Cogn. Sci.3273–302. 10.1111/j.1756-8765.2010.01106.x
44
LouwerseM.HutchinsonS. (2012). Neurological evidence linguistic processes precede perceptual simulation in conceptual processing.Front. Psychol.3:385. 10.3389/fpsyg.2012.00385
45
MacheryE. (2007). Concept empiricism: a methodological critique.Cognition10419–46. 10.1016/j.cognition.2006.05.002
46
MahonB. Z.CaramazzaA. (2008). A critical look at the embodied cognition hypothesis and a new proposal for grounding conceptual content.J. Physiol. Paris10259–70. 10.1016/j.jphysparis.2008.03.004
47
MarshE. J.RoedigerH. L. (2012). “Episodic and autobiographical memory,” in Handbook of Psychology: Experimental Psychology, edsHealyA. F.ProctorR. W. (Hoboken, NJ: John Wiley & Sons), 472–494.
48
MartinA. (2001). “Functional neuroimaging of semantic memory,” in Handbook of Functional Neuroimaging of Cognition, edsCabezaR.KingstoneA. (Cambridge, MA: MIT Press), 153–186.
49
MartinA.ChaoL. L. (2001). Semantic memory and the brain: structure and processes.Curr. Opin. Neurobiol.11194–201. 10.1016/S0959-4388(00)00196-3
50
McDermottK. B.SzpunarK. K.ChristS. E. (2009). Laboratory-based and autobiographical retrieval tasks differ substantially in their neural substrates.Neuropsychologia472290–2298. 10.1016/j.neuropsychologia.2008.12.025
51
MeteyardL.CuadradoS. R.BahramiB.ViglioccoG. (2012). Coming of age: a review of embodiment and the neuroscience of semantics.Cortex48788–804. 10.1016/j.cortex.2010.11.002
52
MoseleyR.CarotaF.HaukO.MohrB.PulvermüllerF. (2012). A role for the motor system in binding abstract emotional meaning.Cereb. Cortex221634–1647. 10.1093/cercor/bhr238
53
NiedenthalP. M. (2008). “Emotion concepts,” in Handbook of Emotion, edsLewisM.Haviland-JonesJ. M.BarrettL. F. (New York: Guilford Press), 587–600.
54
NiedenthalP. M.BarsalouL. W.RicF.Krauth-GruberS. (2005a). “Embodiment in the acquisition and use of emotion knowledge,” in Emotion and Consciousness, edsBarrettL. F.NiedenthalP. M.WinkielmanP. (New York: Guilford Press), 21–50.
55
NiedenthalP. M.BarsalouL. W.WinkielmanP.Krauth-GruberS.RicF. (2005b). Embodiment in attitudes, social perception and emotion.Pers. Soc. Psychol. Rev.9184–211. 10.1207/s15327957pspr0903_1
56
NiedenthalP. M.RohmannA.DalleN. (2003). “What is primed by emotion concepts and emotion words?” in The Psychology of Evaluation: Affective Processes on Cognition and Emotion, edsMuschJ.KlauerK. C. (Mahwah, NJ: Lawrence Erlbaum), 307–333.
57
NiedenthalP. M.SetterlundM. B.JonesD. E. (1994). “Emotional organization of perceptual memory,” in The Heart’s Eye: Emotional Influences in Perception and Attention, edsNiedenthalP. M.KitayamaS. (New York: Academic Press), 87–113.
58
NybergL.CabezaR.TulvingE. (1996). PET studies of encoding and retrieval: the HERA model.Psychon. Bull. Rev.3135–148. 10.3758/BF03212412
59
OosterwijkS.RotteveelM.FischerA. H.HessU. (2009). Embodied emotion concepts: how generating words about pride and disappointment influences posture.Eur. J. Soc. Psychol.39457–466. 10.1002/ejsp.584
60
OosterwijkS.TopperM.RotteveelM.FischerA. H. (2010). When the mind forms fear: embodied fear knowledge potentiates bodily reactions to fearful stimuli.Soc. Psychol. Personal. Sci.165–72. 10.1177/1948550609355328
61
PaivioA. (1971). Imagery and Verbal Processes.New York: Holt, Rinehart, and Winston.
62
PaivioA. (1986). Mental Representations: A Dual Coding Approach.New York: Oxford University Press.
63
PaivioA. (1991). Dual coding theory: retrospect and current status.Can. J. Psychol.45255–287. 10.1037/h0084295
64
PattersonK.NestorP. J.RogersT. T. (2007). Where do you know what you know? The representation of semantic knowledge in the human brain.Nat. Rev. Neurosci.8976–987. 10.1038/nrn2277
65
PecherD.van DantzigS.SchiffersteinH. N. (2009). Concepts are not represented by conscious imagery.Psychon. Bull. Rev.16914–119. 10.3758/PBR.16.5.914
66
PecherD.ZeelenbergR.BarsalouL. W. (2003). Verifying different-modality properties for concepts produces switching costs.Psychol. Sci.14119–124. 10.1111/1467-9280.t01-1-01429
67
PerecmanE.(ed.). (2012). Cognitive Processing in the Right. (Hemisphere).Amsterdam: Elsevier.
68
PhilippotP.SchaeferA. (2001). “Emotion and memory,” in Emotion: Current Issues and Future Directions, edsMayneT. J.BonannoG. A. (New York: Guilford Press), 82–122.
69
PonzA.MontantM.Liegeois-ChauvelC.SilvaC.BraunM.JacobsA. M.et al (2013). Emotion processing in words: a test of the neural re-use hypothesis using surface and intracranial EEG.Soc. Cogn. Affect. Neurosci.9619–627. 10.1093/scan/nst034
70
PosnerM. I.SnyderC. R. R. (1975). “Attention and cognitive control” in Information Processing and Cognition, ed.SolsoR. L. (Hillsdale, NJ: Erlbaum), 55–85.
71
PulvermüllerF.Cooper-PyeE.DineC.HaukO.NestorP. J.PattersonK. (2010). The word processing deficit in semantic dementia: all categories are equal, but some categories are more equal than others.J. Cogn. Neurosci.222027–2041. 10.1162/jocn.2009.21339
72
PylyshynZ. W. (1984). Computation and Cognition.Cambridge, MA: MIT Press.
73
SabsevitzD. S.MedlerD. A.SeidenbergM.BinderJ. R. (2005). Modulation of the semantic system by word imageability.Neuroimage27188–200. 10.1016/j.neuroimage.2005.04.012
74
SakreidaK.ScorolliC.MenzM. M.HeimS.BorghiA. M.BinkofskiF. (2013). Are abstract action words embodied? An fMRI investigation at the interface between language and motor cognition.Front. Hum. Neurosci.7:125. 10.3389/fnhum.2013.00125
75
SantosA.ChaigneauS. E.SimmonsW. K.BarsalouL. W. (2011). Property generation reflects word association and situated simulation.Lang. Cogn.383–119. 10.1515/langcog.2011.004
76
SchwanenflugelP. J. (1991). “Why are abstract concepts hard to understand?” in The Psychology of Word Meanings, ed.SchwanenflugelP. J. (Mahwah, NJ: Erlbaum), 223–250.
77
SimmonsW. K.BarsalouL. W. (2003). The similarity-in-topography principle: reconciling theories of conceptual deficits.Cogn. Neuropsychol.20451–486. 10.1080/02643290342000032
78
SimmonsW. K.HamannS. B.HarenskiC. L.HuX. P.BarsalouL. W. (2008). fMRI evidence for word association and situated simulation in conceptual processing.J. Physiol. Paris102106–119. 10.1016/j.jphysparis.2008.03.014
79
SolomonK. O.BarsalouL. W. (2001). Representing properties locally.Cogn. Psychol.43129–169. 10.1006/cogp.2001.0754
80
SolomonK. O.BarsalouL. W. (2004). Perceptual simulation in property verification.Mem. Cogn.32244–259. 10.3758/BF03196856
81
SrullT. K.WyerR. S. (1979). The role of category accessibility in the interpretation of information about persons: Some determinants and implications.J. Pers. Soc. Psychol.371660–1672. 10.1037/0022-3514.37.10.1660
82
StroopJ. R. (1935). Studies of interference in serial verbal reactions.J. Exp. Psychol.18643–662. 10.1037/h0054651
83
TeasdaleJ. D. (1999). “Multi-level theories of cognition-emotion relations,” in Handbook of Cognition and Emotion, edsDalgleishT.PowerM. (Chichester: John Wiley & Sons), 665–681.
84
TenhoutenW. D.HoppeK. D.BogenJ. E.WalterD. O. (1985a). Alexithymia and the split brain: I. Lexical-level content analysis.Psychother. Psychosom.44202–208. 10.1159/000287880
85
TenhoutenW. D.HoppeK. D.BogenJ. E.WalterD. O. (1985b). Alexithymia and the split brain: II. Sentential-level content analysis.Psychother Psychosom.431–5. 10.1159/000287886
86
TenhoutenW. D.HoppeK. D.BogenJ. E.WalterD. O. (1985c). Alexithymia and the split brain: III. Global-level content analysis of fantasy and symbolization.Psychother. Psychosom.4489–94. 10.1159/000287898
87
Thompson-SchillS. L.KanI. P.OliverR. T. (2006). “Functional neuroimaging of semantic memory,” in Handbook of Functional Neuroimaging of Cognition, edsCabezaR.KingstoneA. (Cambridge, MA: MIT Press), 149–190.
88
TomkinsS. S. (1995). Exploring Affect: The Selected Writings of Silvan S Tomkins.Cambridge: Cambridge University Press. 10.1017/CBO9780511663994
89
TulvingE. (1972). “Episodic and semantic memory,” in Organization of Memory 1, edsTulvingE.DonaldsonW. (London: Academic), 381–402.
90
TulvingE. (1983). Elements of Episodic Memory.New York: Oxford University Press.
91
TulvingE. (1984). Precis of Elements of episodic memory.Behav. Brain Sci.7223–268. 10.1017/S0140525X0004440X
92
TulvingE.KapurS.CraikF. I.MoscovitchM.HouleS. (1994). Hemispheric encoding/retrieval asymmetry in episodic memory: positron emission tomography findings.Proc. Natl. Acad. Sci. U.S.A.912016–2020. 10.1073/pnas.91.6.2016
93
TurkA. A.BrownW. S.SymingtonM.PaulL. K. (2010). Social narratives in agenesis of the corpus callosum: linguistic analysis of the thematic apperception test.Neuropsychologia4843–50. 10.1016/j.neuropsychologia.2009.08.009
94
Van DamW. O.RueschemeyerS. A.BekkeringH. (2010). How specifically are action verbs represented in the neural motor system: an fMRI study.Neuroimage531318–1325. 10.1016/j.neuroimage.2010.06.071
95
Van DantzigS.PecherD.ZeelenbergR.BarsalouL. W. (2008). Perceptual processing affects conceptual processing.Cogn. Sci.32579–590. 10.1080/03640210802035365
96
VermeulenN.NiedenthalP. M.LuminetO. (2007). Switching between sensory and affective systems incurs processing costs.Cogn. Sci.31183–192. 10.1080/03640210709336990
97
ViglioccoG.MeteyardL.AndrewsM.KoustaS. (2009). Toward a theory of semantic representation.Lang. Cogn.1219–247. 10.1515/LANGCOG.2009.011
98
ViglioccoG.VinsonD. P.LewisW.GarrettM. (2004). Representing the meanings of object and action words: the featural and unitary semantic space hypothesis.Cogn. Psychol.48422–488. 10.1016/j.cogpsych.2003.09.001
99
WilliamsJ. M. G.MathewsA.MacLeodC. (1996). The emotional Stroop task and psychopathology.Psychol. Bull.1203–24. 10.1037/0033-2909.120.1.3
100
WilsonM. (2002). Six views of embodied cognition.Psychon. Bull. Rev.9625–636. 10.3758/BF03196322
101
Wilson-MendenhallC. D.BarrettL. F.SimmonsW. K.BarsalouL. W. (2011). Grounding emotion in situated conceptualization.Neuropsychologia491105–1127. 10.1016/j.neuropsychologia.2010.12.032
102
Wilson-MendenhallC. D.SimmonsW. K.MartinA.BarsalouL. W. (2013). Contextual processing of abstract concepts reveals neural representations of nonlinguistic semantic content.J. Cogn. Neurosci.25920–935. 10.1162/jocn_a_00361
103
WuL. L.BarsalouL. W. (2009). Perceptual simulation in conceptual combination: evidence from property generation.Acta. Psychol.132173–189. 10.1016/j.actpsy.2009.02.002
104
YehW.BarsalouL. W. (2006). The situated nature of concepts.Am. J. Psychol.119349–384. 10.2307/20445349
105
ZwaanR. A. (2004). The immersed experiencer: toward an embodied theory of language comprehension.Psychol. Learn. Motiv.4435–62. 10.1016/S0079-7421(03)44002-4
Summary
Keywords
emotional words, meaning access, conceptual processing, disembodied/embodied, superficial/deep, cerebral hemispheres
Citation
Abbassi E, Blanchette I, Ansaldo AI, Ghassemzadeh H and Joanette Y (2015) Emotional words can be embodied or disembodied: the role of superficial vs. deep types of processing. Front. Psychol. 6:975. doi: 10.3389/fpsyg.2015.00975
Received
31 January 2015
Accepted
29 June 2015
Published
09 July 2015
Volume
6 - 2015
Edited by
Cornelia Herbert, University Clinic for Psychiatry and Psychotherapy-Tübingen, Germany
Reviewed by
Debbie L. Mills, Bangor University, UK; Suzanne Oosterwijk, University of Amsterdam, Netherlands
Copyright
© 2015 Abbassi, Blanchette, Ansaldo, Ghassemzadeh and Joanette.
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*Correspondence: Ensie Abbassi, Centre de Recherche, Institut Universitaire de Gériatrie de Montréal and Faculté de Médecine, Université de Montréal, 4565 Queen-Mary Road, Montreal, QC H3W 1W5, Canada, ensie.abbassi@umontreal.ca
This article was submitted to Language Sciences, a section of the journal Frontiers in Psychology
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