Identifying Subgroups of Major Depressive Disorder Using Brain Structural Covariance Networks and Mapping of Associated Clinical and Cognitive Variables

Identifying Subgroups of Major Depressive Disorder Using Brain Structural Covariance Networks and Mapping of Associated Clinical and Cognitive Variables

Background: Identifying data-driven subtypes of major depressive disorder (MDD) holds promise for parsing the heterogeneity of MDD in a neurobiologically informed way. However, limited studies have used brain structural covariance networks (SCNs) for subtyping MDD. Methods: This study included 145 u...

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Bibliographic Details
Main Authors: Xiao Yang, Poornima Kumar, Lisa D. Nickerson, Yue Du, Min Wang, Yayun Chen, Tao Li, Diego A. Pizzagalli, Xiaohong Ma
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Biological Psychiatry Global Open Science
Subjects:
Biotypes
CANTAB
Clustering
Major depression
Source-based morphometry
Structural covariance networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2667174321000124

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http://www.sciencedirect.com/science/article/pii/S2667174321000124

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