Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder

Yuhui Du; Zening Fu; Ying Xing; Dongdong Lin; Godfrey Pearlson; Peter Kochunov; L. Elliot Hong; Shile Qi; Mustafa Salman; Anees Abrol; Vince D. Calhoun

doi:10.1038/s42003-021-02592-2

Communications Biology (Sep 2021)

Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder

Yuhui Du,
Zening Fu,
Ying Xing,
Dongdong Lin,
Godfrey Pearlson,
Peter Kochunov,
L. Elliot Hong,
Shile Qi,
Mustafa Salman,
Anees Abrol,
Vince D. Calhoun

Affiliations

Yuhui Du: School of Computer and Information Technology, Shanxi University
Zening Fu: Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University
Ying Xing: School of Computer and Information Technology, Shanxi University
Dongdong Lin: Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University
Godfrey Pearlson: Department of Psychiatry, Yale University
Peter Kochunov: Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, School of Medicine
L. Elliot Hong: Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, School of Medicine
Shile Qi: Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University
Mustafa Salman: Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University
Anees Abrol: Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University
Vince D. Calhoun: Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University

DOI: https://doi.org/10.1038/s42003-021-02592-2
Journal volume & issue: Vol. 4, no. 1
pp. 1 – 16

Abstract

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Du et al used fMRI data from patients with schizophrenia (SZ) and autism spectrum disorder (ASD) to analyze multi-scale brain functional connectivity and cerebral grey matter density and volume. They demonstrated the presence of convergent and divergent changes in SZ and ASD that correlated with clinical features.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

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