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Common neural correlates of emotion perception in humans
Authors:Jan Jastorff  Yun‐An Huang  Martin A. Giese  Mathieu Vandenbulcke
Affiliation:1. Laboratory for Translational Neuropsychiatry, Research Group Psychiatry, Department of Neuroscience, KU Leuven, Belgium;2. Section for Computational Sensomotorics, Department of Cognitive Neurology, University Clinic Tübingen, Tübingen, Germany
Abstract:Whether neuroimaging findings support discriminable neural correlates of emotion categories is a longstanding controversy. Two recent meta‐analyses arrived at opposite conclusions, with one supporting (Vytal and Hamann [ 2010 ]: J Cogn Neurosci 22:2864–2885) and the other opposing this proposition (Lindquist et al. [ 2012 ]: Behav Brain Sci 35:121–143). To obtain direct evidence regarding this issue, we compared activations for four emotions within a single fMRI design. Angry, happy, fearful, sad and neutral stimuli were presented as dynamic body expressions. In addition, observers categorized motion morphs between neutral and emotional stimuli in a behavioral experiment to determine their relative sensitivities. Brain–behavior correlations revealed a large brain network that was identical for all four tested emotions. This network consisted predominantly of regions located within the default mode network and the salience network. Despite showing brain–behavior correlations for all emotions, muli‐voxel pattern analyses indicated that several nodes of this emotion general network contained information capable of discriminating between individual emotions. However, significant discrimination was not limited to the emotional network, but was also observed in several regions within the action observation network. Taken together, our results favor the position that one common emotional brain network supports the visual processing and discrimination of emotional stimuli. Hum Brain Mapp 36:4184–4201, 2015. © 2015 Wiley Periodicals, Inc.
Keywords:human  fMRI  emotion  action observation  bodies  perception  visual
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