Literature DB >> 23410736

Brain networks subserving the evaluation of static and dynamic facial expressions.

Patrick Johnston1, Angela Mayes, Matthew Hughes, Andrew W Young.   

Abstract

Because moving depictions of face emotion have greater ecological validity than their static counterparts, it has been suggested that still photographs may not engage 'authentic' mechanisms used to recognize facial expressions in everyday life. To date, however, no neuroimaging studies have adequately addressed the question of whether the processing of static and dynamic expressions rely upon different brain substrates. To address this, we performed an functional magnetic resonance imaging (fMRI) experiment wherein participants made emotional expression discrimination and Sex discrimination judgements to static and moving face images. Compared to Sex discrimination, Emotion discrimination was associated with widespread increased activation in regions of occipito-temporal, parietal and frontal cortex. These regions were activated both by moving and by static emotional stimuli, indicating a general role in the interpretation of emotion. However, portions of the inferior frontal gyri and supplementary/pre-supplementary motor area showed task by motion interaction. These regions were most active during emotion judgements to static faces. Our results demonstrate a common neural substrate for recognizing static and moving facial expressions, but suggest a role for the inferior frontal gyrus in supporting simulation processes that are invoked more strongly to disambiguate static emotional cues.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dynamic; Emotion; Faces; Inferior frontal gyrus; fMRI

Mesh:

Year:  2013        PMID: 23410736     DOI: 10.1016/j.cortex.2013.01.002

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  20 in total

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2.  Spontaneous mentalizing captures variability in the cortical thickness of social brain regions.

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Journal:  Soc Cogn Affect Neurosci       Date:  2014-05-20       Impact factor: 3.436

3.  Decoding facial expressions based on face-selective and motion-sensitive areas.

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Journal:  Hum Brain Mapp       Date:  2017-03-27       Impact factor: 5.038

4.  Blocking facial mimicry during binocular rivalry modulates visual awareness of faces with a neutral expression.

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Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

5.  Facial motion engages predictive visual mechanisms.

Authors:  Jordy Kaufman; Patrick J Johnston
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

6.  A Neural Basis of Facial Action Recognition in Humans.

Authors:  Ramprakash Srinivasan; Julie D Golomb; Aleix M Martinez
Journal:  J Neurosci       Date:  2016-04-20       Impact factor: 6.167

7.  The recognition of facial expressions of emotion in deaf and hearing individuals.

Authors:  Helen Rodger; Junpeng Lao; Chloé Stoll; Anne-Raphaëlle Richoz; Olivier Pascalis; Matthew Dye; Roberto Caldara
Journal:  Heliyon       Date:  2021-05-15

8.  A Voxel-Based Morphometry Study of the Brain of University Students Majoring in Music and Nonmusic Disciplines.

Authors:  Kanako Sato; Eiji Kirino; Shoji Tanaka
Journal:  Behav Neurol       Date:  2015-09-30       Impact factor: 3.342

9.  Pruning or tuning? Maturational profiles of face specialization during typical development.

Authors:  Xun Zhu; Ramesh S Bhatt; Jane E Joseph
Journal:  Brain Behav       Date:  2016-04-15       Impact factor: 2.708

10.  Facial esthetics and the assignment of personality traits before and after orthognathic surgery rated on video clips.

Authors:  Klaus Sinko; Reinhold Jagsch; Claudio Drog; Wilhelm Mosgoeller; Arno Wutzl; Gabriele Millesi; Clemens Klug
Journal:  PLoS One       Date:  2018-02-01       Impact factor: 3.240

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