TY  - JOUR
PY  - 2023//
TI  - Dimensional subtyping of first-episode drug-naïve major depressive disorder: a multisite resting-state fMRI study
JO  - Psychiatry research
A1  - Zhang, Biao
A1  - Li, Yating
A1  - Shen, Yuhao
A1  - Zhao, Wenming
A1  - Yu, Yongqiang
A1  - Tang, Jin
SP  - e115598
EP  - e115598
VL  - 330
IS  - 
N2  - Major depressive disorder (MDD) is a heterogeneous syndrome, and understanding its neural mechanisms is crucial for the advancement of personalized medicine. However, conventional subtyping studies often categorize MDD patients into a single subgroup, neglecting the continuous interindividual variations. This implies a pressing need for a dimensional approach. 230 first-episode drug-naïve MDD patients and 395 healthy controls were obtained from 5 sites via the Rest-meta-MDD project. A Bayesian model was used to decompose the resting-state functional connectivity (RSFC) into multiple distinct RSFC patterns (refer to as "factors"), and each individual was allowed to express multiple factors to varying degrees (dimensional subtyping). The associations between demographic and clinical variables with the identified factors were calculated. We identified three latent factors with distinct but partially overlapping hypo- and hyper-RSFC patterns. Most participants co-expressed multiple latent factors. All factors shared abnormal RSFC involving the default mode network and frontoparietal network, but the directionality partially differed across factors. All factors were not significantly associated with demographic and clinical variables. These findings shed light on the interindividual variability in MDD and could form the basis for developing novel therapeutic approaches that capitalize on the heterogeneity of MDD.<p />  <p>Language: en</p>
LA  - en
SN  - 0165-1781
UR  - http://dx.doi.org/10.1016/j.psychres.2023.115598
ID  - ref1
ER  -