Parsing the heterogeneity of depression: a data-driven subgroup derived from cognitive function.

ABSTRACT:

Background

Increasing evidences suggests that depression is a heterogeneous clinical syndrome. Cognitive deficits in depression are associated with poor psychosocial functioning and worse response to conventional antidepressants. However, a consistent profile of neurocognitive abnormalities in depression remains unclear.

Objective

We used data-driven parsing of cognitive performance to reveal subgroups present across depressed individuals and then investigate the change pattern of cognitive subgroups across the course in follow-up.

Method

We assessed cognition in 163 patients with depression using The Chinese Brief Cognitive Test(C-BCT) and the scores were compared with those of 196 healthy controls (HCs). 58 patients were reassessed after 8 weeks. We used K-means clu

SUBMITTER: Xu C 

PROVIDER: S-EPMC11821656 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature