Neural systems for guilt from actions affecting self versus others.
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2012-03
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Guilt is a core emotion governing social behavior by promoting compliance with social norms or self-imposed standards. The goal of this study was to contrast guilty responses to actions that affect self versus others, since actions with social consequences are hypothesized to yield greater guilty feelings due to adopting the perspective and subjective emotional experience of others. Sixteen participants were presented with brief hypothetical scenarios in which the participant's actions resulted in harmful consequences to self (guilt-self) or to others (guilt-other) during functional MRI. Participants felt more intense guilt for guilt-other than guilt-self and guilt-neutral scenarios. Guilt scenarios revealed distinct regions of activity correlated with intensity of guilt, social consequences of actions, and the interaction of guilt by social consequence. Guilt intensity was associated with activation of the dorsomedial PFC, superior frontal gyrus, supramarginal gyrus, and anterior inferior frontal gyrus. Guilt accompanied by social consequences was associated with greater activation than without social consequences in the ventromedial and dorsomedial PFC, precuneus, posterior cingulate, and posterior superior temporal sulcus. Finally, the interaction analysis highlighted select regions that were more strongly correlated with guilt intensity as a function of social consequence, including the left anterior inferior frontal gyrus, left ventromedial PFC, and left anterior inferior parietal cortex. Our results suggest these regions intensify guilt where harm to others may incur a greater social cost.
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Morey, Rajendra A, Gregory McCarthy, Elizabeth S Selgrade, Srishti Seth, Jessica D Nasser and Kevin S LaBar (2012). Neural systems for guilt from actions affecting self versus others. Neuroimage, 60(1). pp. 683–692. 10.1016/j.neuroimage.2011.12.069 Retrieved from https://hdl.handle.net/10161/10974.
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Scholars@Duke
Rajendra A. Morey
Research in my lab is focused on brain changes associated with posttraumatic stress disorder (PTSD), traumatic brain injury (TBI), and other neuropsychiatric disorders. We apply several advanced methods for understanding brain function including functional MRI, structural MRI, diffusion tensor imaging, and genetic effects.
Kevin S. LaBar
My research focuses on understanding how emotional events modulate cognitive processes in the human brain. We aim to identify brain regions that encode the emotional properties of sensory stimuli, and to show how these regions interact with neural systems supporting social cognition, executive control, and learning and memory. To achieve this goal, we use a variety of cognitive neuroscience techniques in human subject populations. These include psychophysiological monitoring, functional magnetic resonance imaging (fMRI), machine learning, and behavioral studies in healthy adults as well as psychiatric patients. This integrative approach capitalizes on recent advances in the field and may lead to new insights into cognitive-emotional interactions in the brain.
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