.png){kind=icon}
.png){kind=icon}
Return
Topological data analysis communities reveal gene-environment-brain subtypes of major depression in UK Biobank and multi-site cohorts.
.png){kind=icon}
OA
AI
E
A
F
L
C
A
F
C
A
B
P
E
DOI：10.1016/j.biopsych.2026.06.030.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Major depressive disorder (MDD) exhibits substantial clinical heterogeneity complicating prognosis and treatment. Characterizing MDD subtypes could enhance personalized approaches. We developed a topological data analysis (TDA) framework with graph-based community detection to identify patient subgroups using multimodal data.
Keywords:
Major depressive disorder
Multimodality
Topological data analysis
Community detection
Journal
IF:
9
Papers:
1.5W
Citations:
4.0W
Organization
Cited Papers