ArticleNature communications2023
Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Decoding Transdiagnostic Subtypes in Emotional Disorders.CNS neuroscience & therapeutics · 2026Article
- Neuroimmune Interactions in Stress and Depression: Exploring the Molecular and Cellular Mechanisms within the Neuroinflammation-depression Nexus.Current medicinal chemistry · 2026Review
- Two subtypes of major depressive disorder are identified from individualized gray matter morphological abnormalities in a large multi-site dataset.Psychological medicine · 2025Article
- Longitudinal non-negative matrix factorization identifies the altered trajectory of motor symptoms in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Disrupted intersubject variability architecture in structural and functional brain connectomes in major depressive disorder.Psychological medicine · 2025Article
- Common neuroanatomical differential factors underlying heterogeneous gray matter volume variations in five common psychiatric disorders.Communications biology · 2025Article
- Individualized resting-state functional connectivity abnormalities unveil two major depressive disorder subtypes with contrasting abnormal patterns of abnormality.Translational psychiatry · 2025Article
- Individualized gray matter morphological abnormalities unveil two neuroanatomical obsessive-compulsive disorder subtypes.Translational psychiatry · 2025Article
- Precision neurodiversity: personalized brain network architecture as a window into cognitive variability.Frontiers in human neuroscience · 2025Review
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Authors and funding
14 authors.
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Abstract
The high inter-individual heterogeneity in individuals with depression limits neuroimaging studies with case-control approaches to identify promising biomarkers for individualized clinical decision-making. We put forward a framework integrating the normative model and non-negative matrix factorization (NMF) to quantitatively assess altered gray matter morphology in depression from a dimensional perspective. The proposed framework parses altered gray matter morphology into overlapping latent disease factors, and assigns patients distinct factor compositions, thus preserving inter-individual variability. We identified four robust disease factors with distinct clinical symptoms and cognitive processes in depression. In addition, we showed the quantitative relationship between the group-level gray matter morphological differences and disease factors. Furthermore, this framework significantly predicted factor compositions of patients in an independent dataset. The framework provides an approach to resolve neuroanatomical heterogeneity in depression.
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