The neural correlates of viewing socially threatening facial expressions

2006 ◽  
Author(s):  
Lisa Burklund ◽  
Naomi Eisenberger ◽  
Matthew Lieberman
2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Elisabeth C. D. van der Stouwe ◽  
Jooske T. van Busschbach ◽  
Esther M. Opmeer ◽  
Bertine de Vries ◽  
Jan-Bernard C. Marsman ◽  
...  

Abstract Individuals with psychosis are at an increased risk of victimization. Processing of facial expressions has been suggested to be associated with victimization in this patient group. Especially processing of angry expressions may be relevant in the context of victimization. Therefore, differences in brain activation and connectivity between victimized and nonvictimized patients during processing of angry faces were investigated. Thirty-nine patients, of whom nineteen had experienced threats, assaults, or sexual violence in the past 5 years, underwent fMRI scanning, during which they viewed angry and neutral facial expressions. Using general linear model (GLM) analyses, generalized psychophysiological (gPPI) analysis and independent component analyses (ICA) differences in brain activation and connectivity between groups in response to angry faces were investigated. Whereas differences in regional brain activation GLM and gPPI analyses yielded no differences between groups, ICA revealed more deactivation of the sensorimotor network in victimized participants. Deactivation of the sensorimotor network in response to angry faces in victimized patients, might indicate a freeze reaction to threatening stimuli, previously observed in traumatized individuals.


PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e69683 ◽  
Author(s):  
Tongran Liu ◽  
Tong Xiao ◽  
Jian-Nong Shi

2017 ◽  
Vol 41 (S1) ◽  
pp. S40-S41
Author(s):  
A. Aleman

Factor analyses of large datasets have established two dimensions of negative symptoms: expressive deficits and a motivation. This distinction is of relevance as the dimensions differ in their cognitive and clinical correlates (e.g. with regard to functional outcome). Using functional MRI, we examined the neural correlates of the two negative symptom dimensions with brain activation during social-emotional evaluation. Patients with schizophrenia (n = 38) and healthy controls (n = 20) performed the Wall of Faces task during fMRI, which measures emotional ambiguity in a social context by presenting an array of faces with varying degrees of consistency in emotional expressions. More specifically, appraisal of facial expressions under uncertainty. We found severity of expressive deficits to be negatively correlated with activation in thalamic, prefrontal, precentral, parietal and temporal brain areas during emotional ambiguity (appraisal of facial expressions in an equivocal versus an unequivocal condition). No association was found for a motivation with these neural correlates, in contrast to a previous fMRI study in which we found a motivation to be associated with neural correlates of executive (planning) performance. We also evaluated the effects of medication and neurostimulation (rTMS treatment over the lateral prefrontal cortex) on activation during the social–emotional ambiguity task. The medication comparison concerned an RCT of aripiprazole versus risperidone. Compared to risperidone, aripiprazole showed differential involvement of frontotemporal and frontostriatal circuits in social-emotional ambiguity. We conclude that deconstruction of negative symptoms into more homogeneous components and investigating underlying neurocognitive mechanisms can potentially shed more light on their nature and may ultimately yield clues for targeted treatment.Disclosure of interestAA received speaker fees from Lundbeck.


2021 ◽  
Author(s):  
W. Craig Williams ◽  
Yuan Chang Leong ◽  
Eleanor A. Collier ◽  
Erik C Nook ◽  
Jae-Young Son ◽  
...  

Individuals modulate their facial emotion expressions in the presence of other people. Does this social tuning reflect changes in emotional experiences or attempts to communicate emotions to others? Here, “target” participants underwent facial electromyography (EMG) recording while viewing emotion-inducing images, believing they were either visible or not visible to “observer” participants. In Study 1, when targets believed they were visible, they produced greater EMG activity and were more accurately perceived by observers, but did not report accompanying changes in their emotion experience. In Study 2, simultaneous facial EMG recording and fMRI scanning revealed that social tuning of targets’ facial expressions correlated with activity in brain structures associated with mentalizing. These findings speak to long-standing, competing accounts of emotion expression, and suggest that individuals actively tune their facial expressions in social settings to communicate their experiences to others.


2018 ◽  
Vol 9 ◽  
Author(s):  
Francesca Benuzzi ◽  
Fausta Lui ◽  
Martina Ardizzi ◽  
Marianna Ambrosecchia ◽  
Daniela Ballotta ◽  
...  

2020 ◽  
Vol 15 (10) ◽  
pp. 1034-1045 ◽  
Author(s):  
Peter J Gianaros ◽  
Thomas E Kraynak ◽  
Dora C-H Kuan ◽  
James J Gross ◽  
Kateri McRae ◽  
...  

Abstract This study tested whether brain activity patterns evoked by affective stimuli relate to individual differences in an indicator of pre-clinical atherosclerosis: carotid artery intima-media thickness (CA-IMT). Adults (aged 30–54 years) completed functional magnetic resonance imaging (fMRI) tasks that involved viewing three sets of affective stimuli. Two sets included facial expressions of emotion, and one set included neutral and unpleasant images from the International Affective Picture System (IAPS). Cross-validated, multivariate and machine learning models showed that individual differences in CA-IMT were partially predicted by brain activity patterns evoked by unpleasant IAPS images, even after accounting for age, sex and known cardiovascular disease risk factors. CA-IMT was also predicted by brain activity patterns evoked by angry and fearful faces from one of the two stimulus sets of facial expressions, but this predictive association did not persist after accounting for known cardiovascular risk factors. The reliability (internal consistency) of brain activity patterns evoked by affective stimuli may have constrained their prediction of CA-IMT. Distributed brain activity patterns could comprise affective neural correlates of pre-clinical atherosclerosis; however, the interpretation of such correlates may depend on their psychometric properties, as well as the influence of other cardiovascular risk factors and specific affective cues.


2019 ◽  
Author(s):  
W. Craig Williams ◽  
Yuan Chang Leong ◽  
Eleanor A. Collier ◽  
jamil zaki

People commonly communicate emotional states through facial expressions. However, existing neuroimaging research focuses almost entirely on brain systems involved in perceiving expressions, leaving unclear whether similar systems are recruited when people generate expressions. Pairs of friends took turns viewing positive and neutral images while undergoing simultaneous fMRI scanning and EMG recording of zygomaticus major, a facial muscle associated with smiling. Participants were instructed that they were either visible to their friend or not visible during image-viewing. When participants viewed positive images, their EMG responses parametrically tracked activity in brain structures associated with experiencing emotion, including ventral striatum, caudate, insula, and anterior cingulate cortex. When further instructed that they were visible to their friend, participants’ EMG responses also tracked activity in structures associated with mentalizing, including temporoparietal junction, superior temporal sulcus, and precuneus. These findings suggest that neural systems involved in perceiving facial expressions also support their production during communication.


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