Passive and motivated perception of emotional faces: qualitative and quantitative changes in the face processing network.

Emotionally expressive faces are processed by a distributed network of interacting sub-cortical and cortical brain regions. The components of this network have been identified and described in large part by the stimulus properties to which they are sensitive, but as face processing research matures...

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Autores principales: Laurie R Skelly, Jean Decety
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Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/05b53288037b498fa9b95508a053a75b
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spelling oai:doaj.org-article:05b53288037b498fa9b95508a053a75b2021-11-18T07:13:36ZPassive and motivated perception of emotional faces: qualitative and quantitative changes in the face processing network.1932-620310.1371/journal.pone.0040371https://doaj.org/article/05b53288037b498fa9b95508a053a75b2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22768287/?tool=EBIhttps://doaj.org/toc/1932-6203Emotionally expressive faces are processed by a distributed network of interacting sub-cortical and cortical brain regions. The components of this network have been identified and described in large part by the stimulus properties to which they are sensitive, but as face processing research matures interest has broadened to also probe dynamic interactions between these regions and top-down influences such as task demand and context. While some research has tested the robustness of affective face processing by restricting available attentional resources, it is not known whether face network processing can be augmented by increased motivation to attend to affective face stimuli. Short videos of people expressing emotions were presented to healthy participants during functional magnetic resonance imaging. Motivation to attend to the videos was manipulated by providing an incentive for improved recall performance. During the motivated condition, there was greater coherence among nodes of the face processing network, more widespread correlation between signal intensity and performance, and selective signal increases in a task-relevant subset of face processing regions, including the posterior superior temporal sulcus and right amygdala. In addition, an unexpected task-related laterality effect was seen in the amygdala. These findings provide strong evidence that motivation augments co-activity among nodes of the face processing network and the impact of neural activity on performance. These within-subject effects highlight the necessity to consider motivation when interpreting neural function in special populations, and to further explore the effect of task demands on face processing in healthy brains.Laurie R SkellyJean DecetyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 6, p e40371 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Laurie R Skelly
Jean Decety
Passive and motivated perception of emotional faces: qualitative and quantitative changes in the face processing network.
description Emotionally expressive faces are processed by a distributed network of interacting sub-cortical and cortical brain regions. The components of this network have been identified and described in large part by the stimulus properties to which they are sensitive, but as face processing research matures interest has broadened to also probe dynamic interactions between these regions and top-down influences such as task demand and context. While some research has tested the robustness of affective face processing by restricting available attentional resources, it is not known whether face network processing can be augmented by increased motivation to attend to affective face stimuli. Short videos of people expressing emotions were presented to healthy participants during functional magnetic resonance imaging. Motivation to attend to the videos was manipulated by providing an incentive for improved recall performance. During the motivated condition, there was greater coherence among nodes of the face processing network, more widespread correlation between signal intensity and performance, and selective signal increases in a task-relevant subset of face processing regions, including the posterior superior temporal sulcus and right amygdala. In addition, an unexpected task-related laterality effect was seen in the amygdala. These findings provide strong evidence that motivation augments co-activity among nodes of the face processing network and the impact of neural activity on performance. These within-subject effects highlight the necessity to consider motivation when interpreting neural function in special populations, and to further explore the effect of task demands on face processing in healthy brains.
format article
author Laurie R Skelly
Jean Decety
author_facet Laurie R Skelly
Jean Decety
author_sort Laurie R Skelly
title Passive and motivated perception of emotional faces: qualitative and quantitative changes in the face processing network.
title_short Passive and motivated perception of emotional faces: qualitative and quantitative changes in the face processing network.
title_full Passive and motivated perception of emotional faces: qualitative and quantitative changes in the face processing network.
title_fullStr Passive and motivated perception of emotional faces: qualitative and quantitative changes in the face processing network.
title_full_unstemmed Passive and motivated perception of emotional faces: qualitative and quantitative changes in the face processing network.
title_sort passive and motivated perception of emotional faces: qualitative and quantitative changes in the face processing network.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/05b53288037b498fa9b95508a053a75b
work_keys_str_mv AT laurierskelly passiveandmotivatedperceptionofemotionalfacesqualitativeandquantitativechangesinthefaceprocessingnetwork
AT jeandecety passiveandmotivatedperceptionofemotionalfacesqualitativeandquantitativechangesinthefaceprocessingnetwork
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