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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Detalles Bibliográficos
Autores principales: Yang, Xiao, Kumar, Poornima, Nickerson, Lisa D., Du, Yue, Wang, Min, Chen, Yayun, Li, Tao, Pizzagalli, Diego A., Ma, Xiaohong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Archival Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616319/
https://www.ncbi.nlm.nih.gov/pubmed/36324992
http://dx.doi.org/10.1016/j.bpsgos.2021.04.006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616319/
https://www.ncbi.nlm.nih.gov/pubmed/36324992
http://dx.doi.org/10.1016/j.bpsgos.2021.04.006

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