ArticleMolecular psychiatry2025
Neuroimaging-based variability in subtyping biomarkers for psychiatric heterogeneity.
Article in Molecular psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Mapping the psychosis spectrum - imaging neurosubtypes from multiscale functional network connectivity.Molecular psychiatry · 2026Article
- Using the Hierarchical Taxonomy of Psychopathology (HiTOP) for precision psychiatry.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Ensemble clustering: A practical tutorial.Behavior research methods · 2026Article
- Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers.Nature human behaviour · 2026Article
- A Framework for Advancing Mechanistic Neurobehavioral Biomarkers in Psychiatry.Biological psychiatry · 2026Review
- Post-traumatic stress disorder.Nature reviews. Disease primers · 2026Review
- Astroglial and Neuronal Injury Markers (GFAP, UCHL-1, NfL, Tau, S100B) as Diagnostic and Prognostic Biomarkers in PTSD and Neurological Disorders.International journal of molecular sciences · 2026Review
- Data-driven subtyping of Parkinson's disease using MRI: current insights, challenges, and future directions.Frontiers in aging neuroscience · 2026Review
- Overlooked features lead to divergent neurobiological interpretations of brain-based machine learning biomarkers.bioRxiv : the preprint server for biology · 2025Article
- Semantic locality-aware biclustering for brain functional network connectivity.Scientific reports · 2025Article
- Intracranial volume: To adjust or not to adjust? It is not a matter of if, but how.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
8 authors.
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Abstract
Neuroimaging-based subtyping is increasingly used to explain heterogeneity in psychiatric disorders. However, the clinical utility of these subtyping efforts remains unclear, and replication has been challenging. Here we examined how the choice of neuroimaging measures influences the derivation of neuro-subtypes and the consequences for clinical delineation. On a clinically heterogeneous dataset (total n = 566) that included controls (n = 268) and cases (n = 298) of psychiatric conditions, including individuals diagnosed with post-traumatic stress disorder (PTSD), traumatic brain injury (TBI), and comorbidity of both (PTSD&TBI), we identified neuro-subtypes among the cases using either structural, resting-state, or task-based measures. The neuro-subtypes for each modality had high internal validity but did not significantly differ in their clinical and cognitive profiles. We further show that the choice of neuroimaging measures for subtyping substantially impacts the identification of neuro-subtypes, leading to low concordance across subtyping solutions. Similar variability in neuro-subtyping was found in an independent dataset (n = 1642) comprised of major depression disorder (MDD, n = 848) and controls (n = 794). Our results suggest that the highly anticipated relationships between neuro-subtypes and clinical features may be difficult to discover.
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