Brain morphometric features predict depression symptom phenotypes in late-life depression using a deep learning model

OBJECTIVES: Our objective was to use deep learning models to identify underlying brain regions associated with depression symptom phenotypes in late-life depression (LLD). PARTICIPANTS: Diagnosed with LLD (N = 116) and enrolled in a prospective treatment study. DESIGN: Cross-sectional. MEASUREMENTS:...

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Detalles Bibliográficos
Autores principales: Cao, Bing, Yang, Erkun, Wang, Lihong, Mo, Zhanhao, Steffens, David C., Zhang, Han, Liu, Mingxia, Potter, Guy G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394384/
https://www.ncbi.nlm.nih.gov/pubmed/37539384
http://dx.doi.org/10.3389/fnins.2023.1209906

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394384/
https://www.ncbi.nlm.nih.gov/pubmed/37539384
http://dx.doi.org/10.3389/fnins.2023.1209906

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