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Network dynamics of human face perception

Prevailing theories suggests that cortical regions responsible for face perception operate in a serial, feed-forward fashion. Here, we utilize invasive human electrophysiology to evaluate serial models of face-processing via measurements of cortical activation, functional connectivity, and cortico-c...

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Autores principales: Kadipasaoglu, Cihan Mehmet, Conner, Christopher Richard, Baboyan, Vatche George, Rollo, Matthew, Pieters, Thomas Allyn, Tandon, Nitin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708727/
https://www.ncbi.nlm.nih.gov/pubmed/29190811
http://dx.doi.org/10.1371/journal.pone.0188834
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author Kadipasaoglu, Cihan Mehmet
Conner, Christopher Richard
Baboyan, Vatche George
Rollo, Matthew
Pieters, Thomas Allyn
Tandon, Nitin
author_facet Kadipasaoglu, Cihan Mehmet
Conner, Christopher Richard
Baboyan, Vatche George
Rollo, Matthew
Pieters, Thomas Allyn
Tandon, Nitin
author_sort Kadipasaoglu, Cihan Mehmet
collection PubMed
description Prevailing theories suggests that cortical regions responsible for face perception operate in a serial, feed-forward fashion. Here, we utilize invasive human electrophysiology to evaluate serial models of face-processing via measurements of cortical activation, functional connectivity, and cortico-cortical evoked potentials. We find that task-dependent changes in functional connectivity between face-selective regions in the inferior occipital (f-IOG) and fusiform gyrus (f-FG) are bidirectional, not feed-forward, and emerge following feed-forward input from early visual cortex (EVC) to both of these regions. Cortico-cortical evoked potentials similarly reveal independent signal propagations between EVC and both f-IOG and f-FG. These findings are incompatible with serial models, and support a parallel, distributed network underpinning face perception in humans.
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spelling pubmed-57087272017-12-15 Network dynamics of human face perception Kadipasaoglu, Cihan Mehmet Conner, Christopher Richard Baboyan, Vatche George Rollo, Matthew Pieters, Thomas Allyn Tandon, Nitin PLoS One Research Article Prevailing theories suggests that cortical regions responsible for face perception operate in a serial, feed-forward fashion. Here, we utilize invasive human electrophysiology to evaluate serial models of face-processing via measurements of cortical activation, functional connectivity, and cortico-cortical evoked potentials. We find that task-dependent changes in functional connectivity between face-selective regions in the inferior occipital (f-IOG) and fusiform gyrus (f-FG) are bidirectional, not feed-forward, and emerge following feed-forward input from early visual cortex (EVC) to both of these regions. Cortico-cortical evoked potentials similarly reveal independent signal propagations between EVC and both f-IOG and f-FG. These findings are incompatible with serial models, and support a parallel, distributed network underpinning face perception in humans. Public Library of Science 2017-11-30 /pmc/articles/PMC5708727/ /pubmed/29190811 http://dx.doi.org/10.1371/journal.pone.0188834 Text en © 2017 Kadipasaoglu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kadipasaoglu, Cihan Mehmet
Conner, Christopher Richard
Baboyan, Vatche George
Rollo, Matthew
Pieters, Thomas Allyn
Tandon, Nitin
Network dynamics of human face perception
title Network dynamics of human face perception
title_full Network dynamics of human face perception
title_fullStr Network dynamics of human face perception
title_full_unstemmed Network dynamics of human face perception
title_short Network dynamics of human face perception
title_sort network dynamics of human face perception
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708727/
https://www.ncbi.nlm.nih.gov/pubmed/29190811
http://dx.doi.org/10.1371/journal.pone.0188834
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