Successful social functioning requires quick and accurate processing of emotion and generation of appropriate reactions. In typical individuals, these skills are supported by embodied processing, recruiting central and peripheral mechanisms. However, emotional processing is atypical in individuals with autism spectrum disorder (ASD). Individuals with ASD show deficits in recognition of briefly presented emotional expressions. They tend to recognize expressions using rule-based, rather than template, strategies. Individuals with ASD also do not spontaneously and quickly mimic emotional expressions, unless the task encourages (...) engagement. When processing emotional scenes, ASD individuals show atypical basic motivational responses, despite intact ability to verbally determine stimulus valence. We discuss how these findings highlight the contribution of both embodied and disembodied mechanisms to typical and atypical emotional functioning. (shrink)

Recent application of theories of embodied or grounded cognition to the recognition and interpretation of facial expression of emotion has led to an explosion of research in psychology and the neurosciences. However, despite the accelerating number of reported findings, it remains unclear how the many component processes of emotion and their neural mechanisms actually support embodied simulation. Equally unclear is what triggers the use of embodied simulation versus perceptual or conceptual strategies in determining meaning. The present article integrates behavioral research (...) from social psychology with recent research in neurosciences in order to provide coherence to the extant and future research on this topic. The roles of several of the brain's reward systems, and the amygdala, somatosensory cortices, and motor centers are examined. These are then linked to behavioral and brain research on facial mimicry and eye gaze. Articulation of the mediators and moderators of facial mimicry and gaze are particularly useful in guiding interpretation of relevant findings from neurosciences. Finally, a model of the processing of the smile, the most complex of the facial expressions, is presented as a means to illustrate how to advance the application of theories of embodied cognition in the study of facial expression of emotion. (shrink)

Niedenthal et al's classification of smiles erroneously conflates psychological mechanisms and adaptive functions. This confusion weakens the rationale behind the types of smiles they chose to individuate, and it obfuscates the distinction between the communicative versus denotative nature of smiles and the role of perceived-gaze direction in emotion recognition.

This article demonstrates how researchers from both the sciences and the humanities can learn from Charles Darwin’s mixed methodology. We identify two basic challenges that face emotion research in the sciences, namely a mismatch between experiment design and the complexity of life that we aim to explain, and problematic efforts to bridge the gap, including invalid inferences from constrained study designs, and equivocal use of terms like “sympathy” and “empathy” that poorly reflect such methodological constraints. We argue that Darwin’s mixed (...) methodology is a model for addressing these challenges even in laboratory work on emotion, because it shows how close observation of emotional phenomena makes sense only within broader historical contexts. The article concludes with 5 practical research recommendations. (shrink)

Language comprehension requires a simulation that uses neural systems involved in perception, action, and emotion. A review of recent literature as well as new experiments support five predictions derived from this framework. 1. Being in an emotional state congruent with sentence content facilitates sentence comprehension. 2. Because women are more reactive to sad events and men are more reactive to angry events, women understand sentences about sad events with greater facility than men, and men understand sentences about angry events with (...) greater facility than women. 3. Because it takes time to shift from one emotion to another, reading a sad sentence slows the reading of a happy sentence more for women than men, whereas reading an angry sentence slows the reading of a happy sentence more for men than for women. 4. Because sad states motivate affiliative actions and angry states motivate aggressive action, gender and emotional content of sentences interact with the response mode. 5. Because emotion simulation requires particular action systems, adapting those action systems will affect comprehension of sentences with emotional content congruent with the adapted action system. These results have implications for the study of language, emotion, and gender differences. (shrink)

This paper selectively reviews the neurophysiological evidence for shared neural circuits (supposedly implemented by mirror neurons) as the mechanism underlying empathy. I will argue that while the mirror neuron system plays a role in motor resonance, it is not possible to conclude that this system is critically involved in emotion recognition, and there is little evidence for its role in empathy and sympathy. In addition, there is modest support from neurological observations that lesion of the regions involved in the mirror (...) neuron system leads to dysfunction in empathy, whereas damage of the ventromedial prefrontal cortex is associated with such impairment. To significantly advance our understanding of the mechanisms underlying empathy, research needs finer conceptualization, better designed paradigms, and integration with knowledge from lesion studies. (shrink)

Empathy is thought to play a key role in motivating prosocial behavior, guiding our preferences and behavioral responses, and providing the affective and motivational base for moral development. While these abilities have traditionally been examined using behavioral methods, recent work in evolutionary biology, developmental and cognitive neuroscience has begun to shed light on the neural circuitry that instantiate them. The purpose of this article is to critically examine the current knowledge in the field of affective neuroscience and provide an integrative (...) and comprehensive view of the computational mechanisms that underlie empathy. This framework is of general interest and relevance for theory as well as for assisting future research in the domains of affective developmental neuroscience and psychopathology. (shrink)

Understanding the very nature of the smile with an integrative approach and a novel model is a fertile ground for a new theoretical vision and insights. However, from this perspective, I challenge the authors to integrate culture and race in their model, because both factors would impact upon the embodying and decoding of facial expressions.