ArticleCell reports. Medicine2025
Contrastive functional connectivity defines neurophysiology-informed symptom dimensions in major depression.
Article in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Bed nucleus of the stria terminalis-nucleus accumbens stimulation for depression: A randomized, double-blind, crossover trial.Cell reports. Medicine · 2026Trial
- Multimodal Representation Learning for Parsing Biological Heterogeneity in Psychiatric Neuroimaging.Biological psychiatry · 2026Review
- Whole-brain mapping of TMS-induced discomfort with large-scale concurrent TMS-fMRI.bioRxiv : the preprint server for biology · 2026Article
- Neural Circuit Taxonomy and Precision Psychiatry in Major Depression.Advances in experimental medicine and biology · 2026Review
- The Brain-Gut Health Initiative (BIGHI): A Prospective Cohort on Psychiatric Disorders in China.Research (Washington, D.C.) · 2026Review
- Deep Learning of Brain-Behavior Dimensions Identifies Transdiagnostic Biotypes in Youth with ADHD and Anxiety Disorders.bioRxiv : the preprint server for biology · 2025Article
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10 authors.
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Abstract
Major depressive disorder (MDD) is highly heterogeneous, posing challenges for effective treatment due to complex interactions between clinical symptoms and neurobiological features. To address this, we apply contrastive principal-component analysis to fMRI-based resting-state functional connectivity, isolating disorder-specific variations by contrasting data from 233 MDD patients and 285 healthy controls. Subsequently, we use sparse canonical correlation analysis to identify two significant dimensions linking distinct brain circuits with clinical profiles. One dimension relates to an internalizing-externalizing symptom spectrum involving visual and limbic networks and is associated with cognitive task reaction times. The other dimension, linked to personality traits protective against depression (e.g., extraversion), is driven by dorsal attention network connections and correlates with cognitive control and psychomotor performance. This approach illuminates stable symptom dimensions and their neurophysiological underpinnings, aiding in precision phenotyping for MDD and supporting the development of targeted, individualized therapeutic strategies for mental health care.
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Registered trials
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