Heterogeneous brain dynamic functional connectivity patterns in first-episode drug-naive patients with major depressive disorder.

ABSTRACT: It remains challenging to identify depression accurately due to its biological heterogeneity. As people suffering from depression are associated with functional brain network alterations, we investigated subtypes of patients with first-episode drug-naive (FEDN) depression based on brain network characteristics. This study included data from 91 FEDN patients and 91 matched healthy individuals obtained from the International Big-Data Center for Depression Research. Twenty large-scale functional connectivity networks were computed using group information guided independent component analysis. A multivariate unsupervised normative modeling method was used to identify subtypes of FEDN and their associated networks, focusing on individual-level variability among the patients for quantifying devi

SUBMITTER: Jing R 

PROVIDER: S-EPMC10171501 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature