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...

Celý popis

Podrobná bibliografia

Vydané v:	Biological psychiatry global open science Ročník 1; číslo 2; s. 135 - 145
Hlavní autori:	Yang, Xiao, Kumar, Poornima, Nickerson, Lisa D., Du, Yue, Wang, Min, Chen, Yayun, Li, Tao, Pizzagalli, Diego A., Ma, Xiaohong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.08.2021 Elsevier
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!