Face-specific resting functional connectivity between the fusiform gyrus and posterior superior temporal sulcus

Faces activate specific brain regions in fMRI, including the fusiform gyrus (FG) and the posterior superior temporal sulcus (pSTS). The fact that the FG and pSTS are frequently co-activated suggests that they may interact synergistically in a distributed face processing network. Alternatively, the f...

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Main Authors: Nicholas B Turk-Browne, Samuel V Norman-Haignere, Gregory McCarthy
Format: Article
Language:English
Published: Frontiers Media S.A. 2010-09-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2010.00176/full
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author Nicholas B Turk-Browne
Samuel V Norman-Haignere
Gregory McCarthy
author_facet Nicholas B Turk-Browne
Samuel V Norman-Haignere
Gregory McCarthy
author_sort Nicholas B Turk-Browne
collection DOAJ
description Faces activate specific brain regions in fMRI, including the fusiform gyrus (FG) and the posterior superior temporal sulcus (pSTS). The fact that the FG and pSTS are frequently co-activated suggests that they may interact synergistically in a distributed face processing network. Alternatively, the functions implemented by these regions may be encapsulated from each other. It has proven difficult to evaluate these two accounts during visual processing of face stimuli. However, if the FG and pSTS interact during face processing, the substrate for such interactions may be apparent in a correlation of the BOLD timeseries from these two regions during periods of rest when no faces are present. To examine face-specific resting correlations, we developed a new partial functional connectivity approach in which we removed variance from the FG that was shared with other category-selective and control regions. The remaining ‘face-specific’ FG resting variance was then used to predict resting signals throughout the brain. In two experiments, we observed face-specific resting functional connectivity between FG and pSTS, and importantly, these correlations overlapped precisely with the face-specific pSTS region obtained from independent localizer runs. Additional region-of-interest and pattern analyses confirmed that the FG-pSTS resting correlations were face-specific. These findings support a model in which face processing is distributed among a finite number of connected, but nevertheless face-specialized regions. The discovery of category-specific interactions in the absence of visual input suggests that resting networks may provide a latent foundation for task processing.
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spelling doaj.art-624b96c3e350477db4f30831f0a1156b2022-12-22T03:55:22ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612010-09-01410.3389/fnhum.2010.001761980Face-specific resting functional connectivity between the fusiform gyrus and posterior superior temporal sulcusNicholas B Turk-Browne0Samuel V Norman-Haignere1Gregory McCarthy2Princeton UniversityYale UniveristyYale UniveristyFaces activate specific brain regions in fMRI, including the fusiform gyrus (FG) and the posterior superior temporal sulcus (pSTS). The fact that the FG and pSTS are frequently co-activated suggests that they may interact synergistically in a distributed face processing network. Alternatively, the functions implemented by these regions may be encapsulated from each other. It has proven difficult to evaluate these two accounts during visual processing of face stimuli. However, if the FG and pSTS interact during face processing, the substrate for such interactions may be apparent in a correlation of the BOLD timeseries from these two regions during periods of rest when no faces are present. To examine face-specific resting correlations, we developed a new partial functional connectivity approach in which we removed variance from the FG that was shared with other category-selective and control regions. The remaining ‘face-specific’ FG resting variance was then used to predict resting signals throughout the brain. In two experiments, we observed face-specific resting functional connectivity between FG and pSTS, and importantly, these correlations overlapped precisely with the face-specific pSTS region obtained from independent localizer runs. Additional region-of-interest and pattern analyses confirmed that the FG-pSTS resting correlations were face-specific. These findings support a model in which face processing is distributed among a finite number of connected, but nevertheless face-specialized regions. The discovery of category-specific interactions in the absence of visual input suggests that resting networks may provide a latent foundation for task processing.http://journal.frontiersin.org/Journal/10.3389/fnhum.2010.00176/fullRestfMRIFusiform face areainferior temporal cortexfunctional connectivityface processing
spellingShingle Nicholas B Turk-Browne
Samuel V Norman-Haignere
Gregory McCarthy
Face-specific resting functional connectivity between the fusiform gyrus and posterior superior temporal sulcus
Frontiers in Human Neuroscience
Rest
fMRI
Fusiform face area
inferior temporal cortex
functional connectivity
face processing
title Face-specific resting functional connectivity between the fusiform gyrus and posterior superior temporal sulcus
title_full Face-specific resting functional connectivity between the fusiform gyrus and posterior superior temporal sulcus
title_fullStr Face-specific resting functional connectivity between the fusiform gyrus and posterior superior temporal sulcus
title_full_unstemmed Face-specific resting functional connectivity between the fusiform gyrus and posterior superior temporal sulcus
title_short Face-specific resting functional connectivity between the fusiform gyrus and posterior superior temporal sulcus
title_sort face specific resting functional connectivity between the fusiform gyrus and posterior superior temporal sulcus
topic Rest
fMRI
Fusiform face area
inferior temporal cortex
functional connectivity
face processing
url http://journal.frontiersin.org/Journal/10.3389/fnhum.2010.00176/full
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