Beyond Diagnosis: Transdiagnostic Cognitive Subgroups in Mood Disorders Linked to Work‐Related Disability

AIM: Cognitive dysfunction is a transdiagnostic feature of mood disorders and a key determinant of functional outcomes. This study aimed to identify transdiagnostic cognitive heterogeneity among patients with mood disorders using a data-driven approach and to examine its association with social functioning. Characterizing cognitive subtypes and their association with subjective functional disability is an essential first step toward stratified interventions and personalized care. METHODS: We analyzed data from 264 age- and sex-matched patients (132 each with major depressive disorder [MDD] or bipolar disorder [BD]). Participants completed six neurocognitive tests to assess executive function, memory, attention, and processing speed. Cognitive variables were adjusted for age and sex, and unsupervised K-means clustering was used to identify transdiagnostic subgroups. Functional impairment was evaluated using the Sheehan Disability Scale. RESULTS: After matching participants based on age and sex, we compared the cognitive performance between the diagnostic groups. Significant differences were observed in only two cognitive variables with a small effect size (mean |Cohen's d| = 0.14). No differences were found in the social functioning measures. Cluster analysis identified two cognitive subtypes: higher-performance group (n = 200) and lower-performance group (n = 64) with a large effect size (mean |Cohen's d| = 0.99). Both clusters included patients with MDD and BD in similar proportions (p = 0.11), indicating a diagnostic overlap. The lower-performance group also showed significantly greater work-related and total functional impairments. CONCLUSION: Unsupervised clustering revealed transdiagnostic cognitive subgroups in mood disorders independent of diagnostic labels. Cognitive phenotyping may inform personalized treatment strategies and improve functional outcomes by identifying high-risk patients for cognitive remediation or neuromodulation therapies.

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Publication Details

Journal
Neuropsychopharmacology Reports
Published
2026-04-01
DOI
https://doi.org/10.1002/npr2.70116
Primary Topic
Bipolar Disorder and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Beyond Diagnosis: Transdiagnostic Cognitive Subgroups in Mood Disorders Linked to Work‐Related Disability

Ryo Sawagashira, Takuro Tsutsumi, Hayato Watanabe, Naoki Hashimoto et al.
Neuropsychopharmacology Reports
Bipolar Disorder and Treatment
article

Beyond Diagnosis: Transdiagnostic Cognitive Subgroups in Mood Disorders Linked to Work‐Related Disability

Ryo Sawagashira, Takuro Tsutsumi, Hayato Watanabe, Naoki Hashimoto, Atsuhito Toyomaki, Takahiro A. Kato, Ryo Okubo
article en

Abstract

AIM: Cognitive dysfunction is a transdiagnostic feature of mood disorders and a key determinant of functional outcomes. This study aimed to identify transdiagnostic cognitive heterogeneity among patients with mood disorders using a data-driven approach and to examine its association with social functioning. Characterizing cognitive subtypes and their association with subjective functional disability is an essential first step toward stratified interventions and personalized care. METHODS: We analyzed data from 264 age- and sex-matched patients (132 each with major depressive disorder [MDD] or bipolar disorder [BD]). Participants completed six neurocognitive tests to assess executive function, memory, attention, and processing speed. Cognitive variables were adjusted for age and sex, and unsupervised K-means clustering was used to identify transdiagnostic subgroups. Functional impairment was evaluated using the Sheehan Disability Scale. RESULTS: After matching participants based on age and sex, we compared the cognitive performance between the diagnostic groups. Significant differences were observed in only two cognitive variables with a small effect size (mean |Cohen's d| = 0.14). No differences were found in the social functioning measures. Cluster analysis identified two cognitive subtypes: higher-performance group (n = 200) and lower-performance group (n = 64) with a large effect size (mean |Cohen's d| = 0.99). Both clusters included patients with MDD and BD in similar proportions (p = 0.11), indicating a diagnostic overlap. The lower-performance group also showed significantly greater work-related and total functional impairments. CONCLUSION: Unsupervised clustering revealed transdiagnostic cognitive subgroups in mood disorders independent of diagnostic labels. Cognitive phenotyping may inform personalized treatment strategies and improve functional outcomes by identifying high-risk patients for cognitive remediation or neuromodulation therapies.

Neuropsychopharmacology ReportsVol. 46(2)
Hokkaido University of Science (JP), Sapporo University (JP), Hokkaido University (JP)
Japan Society for the Promotion of Science
Quality Education
Openalex Percentile: Top 27%
Bipolar Disorder and Treatment
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