Generalizable stratification based on thalamo-somatomotor functional connectivity predicts responses to antidepressants in patients with depression.

ABSTRACT: Major depressive disorder (MDD) is diagnosed based on signs and symptoms without relying on physical, biological, or cognitive tests. Patients with MDD exhibit a wide range of complex symptoms, and diverse underlying neurobiological backgrounds have been assumed. If biomarkers can stratify patients with MDD into biologically homogeneous subtypes, personalized precision medicine would be within reach. Some studies have used resting-state functional connectivity (rs-FC) to stratify and predict treatment responses for MDD subtypes. However, few studies have demonstrated the reproducibility (i.e., generalizability) of stratification biomarkers in independent validation cohorts. Lack of generalizability may be due to inherent measurement and sampling biases in functional magnetic resonance imag

SUBMITTER: Kashiwagi Y 

PROVIDER: S-EPMC12700791 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature