Literature DB >> 25772668

Quantifying interindividual variability and asymmetry of face-selective regions: a probabilistic functional atlas.

Zonglei Zhen1, Zetian Yang1, Lijie Huang1, Xiang-Zhen Kong1, Xu Wang1, Xiaobin Dang1, Yangyue Huang1, Yiying Song1, Jia Liu2.   

Abstract

Face-selective regions (FSRs) are among the most widely studied functional regions in the human brain. However, individual variability of the FSRs has not been well quantified. Here we use functional magnetic resonance imaging (fMRI) to localize the FSRs and quantify their spatial and functional variabilities in 202 healthy adults. The occipital face area (OFA), posterior and anterior fusiform face areas (pFFA and aFFA), posterior continuation of the superior temporal sulcus (pcSTS), and posterior and anterior STS (pSTS and aSTS) were delineated for each individual with a semi-automated procedure. A probabilistic atlas was constructed to characterize their interindividual variability, revealing that the FSRs were highly variable in location and extent across subjects. The variability of FSRs was further quantified on both functional (i.e., face selectivity) and spatial (i.e., volume, location of peak activation, and anatomical location) features. Considerable interindividual variability and rightward asymmetry were found in all FSRs on these features. Taken together, our work presents the first effort to characterize comprehensively the variability of FSRs in a large sample of healthy subjects, and invites future work on the origin of the variability and its relation to individual differences in behavioral performance. Moreover, the probabilistic functional atlas will provide an adequate spatial reference for mapping the face network.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Asymmetry; Fusiform face area (FFA); Interindividual variability; Occipital face area (OFA); Superior temporal sulcus (STS)

Mesh:

Year:  2015        PMID: 25772668     DOI: 10.1016/j.neuroimage.2015.03.010

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  30 in total

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7.  Quantifying the variability of scene-selective regions: Interindividual, interhemispheric, and sex differences.

Authors:  Zonglei Zhen; Xiang-Zhen Kong; Lijie Huang; Zetian Yang; Xu Wang; Xin Hao; Taicheng Huang; Yiying Song; Jia Liu
Journal:  Hum Brain Mapp       Date:  2017-01-24       Impact factor: 5.038

8.  Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium.

Authors:  Xiang-Zhen Kong; Samuel R Mathias; Tulio Guadalupe; David C Glahn; Barbara Franke; Fabrice Crivello; Nathalie Tzourio-Mazoyer; Simon E Fisher; Paul M Thompson; Clyde Francks
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-15       Impact factor: 11.205

9.  All-or-none face categorization in the human brain.

Authors:  Talia L Retter; Fang Jiang; Michael A Webster; Bruno Rossion
Journal:  Neuroimage       Date:  2020-02-28       Impact factor: 6.556

10.  The Face-Processing Network Is Resilient to Focal Resection of Human Visual Cortex.

Authors:  Kevin S Weiner; Jacques Jonas; Jesse Gomez; Louis Maillard; Hélène Brissart; Gabriela Hossu; Corentin Jacques; David Loftus; Sophie Colnat-Coulbois; Anthony Stigliani; Michael A Barnett; Kalanit Grill-Spector; Bruno Rossion
Journal:  J Neurosci       Date:  2016-08-10       Impact factor: 6.167

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