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

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. This study included 145 unmedicated patients w...

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Veröffentlicht in:	Biological psychiatry global open science Jg. 1; H. 2; S. 135 - 145
Hauptverfasser:	Yang, Xiao, Kumar, Poornima, Nickerson, Lisa D., Du, Yue, Wang, Min, Chen, Yayun, Li, Tao, Pizzagalli, Diego A., Ma, Xiaohong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.08.2021 Elsevier
Schlagworte:	Archival Report Biotypes CANTAB Clustering Major depression Psychiatric/Mental Health Source-based morphometry Structural covariance networks Biotypes CANTAB Source-based morphometry Clustering Major depression Structural covariance networks
ISSN:	2667-1743, 2667-1743
Online-Zugang:	Volltext
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