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

Area of Science:

• Neuroscience
• Psychiatry
• Cognitive Science

Background:

• Depression is a complex syndrome with varying clinical presentations.
• Cognitive deficits in depression are linked to poorer outcomes and treatment response.
• A clear neurocognitive profile for depression remains elusive.

Purpose of the Study:

• To identify distinct neurocognitive subgroups within patients experiencing depression.
• To analyze the longitudinal changes in cognitive performance across these subgroups.
• To investigate the clinical correlates and risk factors associated with cognitive impairment in depression.

Main Methods:

• Cognitive function was assessed in 163 depressed patients and 196 healthy controls using the Chinese Brief Cognitive Test (C-BCT).
• K-means cluster analysis identified cognitive subgroups, with 58 patients reassessed after 8 weeks.
• Linear mixed-effects models and logistic regression analyzed cognitive changes and risk factors.

Main Results:

• Two subgroups emerged: cognitive-impaired (global deficits) and cognitive-preserved (intact function).
• The impaired subgroup had more severe depression symptoms and poorer work performance.
• Cognitive deficits in the impaired group persisted despite some treatment-related improvement.

Conclusions:

• This study confirms cognitive heterogeneity in acute depression.
• A distinct cognitive-impaired subgroup experiences persistent deficits.
• Screening for cognitive dysfunction can guide personalized depression interventions.