ArticleNature communications2024
Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Advances in Schizophrenia Subtyping: A Systematic Review of Machine Learning Applications in Neuroimaging.Advances in experimental medicine and biology · 2026Pooled it
- PTSD subtypes and their underlying neural biomarkers: a systematic review.Psychological medicine · 2025Pooled it
- Gray matter subtyping with SuStaIn reveals neuroanatomical patterns in autism spectrum disorder.Brain imaging and behavior · 2026Article
- Neurophysiological subtyping of schizophrenia reveals a reproducible phenotype with temporoparietal circuit disruptions.General psychiatry · 2026Article
- The cross-site reproducibility of MRI morphometric phenotypes in psychiatric disorders.Nature neuroscience · 2026Article
- Identifing two distinct cortical progression subtypes of Parkinson's disease through multimodal neuroimaging.European journal of nuclear medicine and molecular imaging · 2026Article
- Subtyping psychotic disorders using a data-driven approach reveals divergent cortical and cellular signatures.Molecular psychiatry · 2026Article
- Neuroimaging-Based Subgroups in Schizophrenia: A Critical Appraisal of Clustering Studies.Biological psychiatry global open science · 2026Review
- Putative glymphatic function and free water in schizophrenia: A 7T DTI study across psychosis stages.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Widespread synaptic density loss in schizophrenia follows molecular and network architecture.Molecular psychiatry · 2026Article
- Individualized cortical gradient and network topology reveal symptom-linked disruptions and neurobiological subtypes in schizophrenia.medRxiv : the preprint server for health sciences · 2026Article
- Longitudinal resting-state EEG-based modeling predicts phenoconversion and delineates heterogeneity in isolated REM sleep behavior disorder.Research square · 2026Article
- Distinct brain volume abnormalities in clinical high-risk individuals: pre- and post-antipsychotic treatment.Psychological medicine · 2026Article
- Data-driven schizophrenia subtyping via brain atrophy trajectories and functional connectivity.Translational psychiatry · 2026Article
- Multi-organ AI endophenotypes chart the heterogeneity of brain, eye and heart pan-disease.Nature. Mental health · 2026Article
- Deciphering the Heterogeneity of Schizophrenia: A Multimodal and Multivariate Neuroimaging Framework for Unveiling Brain-Symptom Relationships and Underlying Subtypes.Schizophrenia bulletin · 2026Article
- Distinct subcortical neuroanatomic profiles of treatment-resistant schizophrenia: structural magnetic resonance imaging study.BJPsych open · 2026Article
- Mutualistic Multi-Network Noisy Label Learning (MMNNLL) Method and Its Application to Transdiagnostic Classification of Bipolar Disorder and Schizophrenia.IEEE transactions on medical imaging · 2025Article
- Subtyping schizophrenia via machine learning by using structural neuroimaging.Translational psychiatry · 2025Review
- Temporal dynamic of cognitive decline in type 2 diabetes mellitus patients: a multimodal biomarker analysis using event-based modal and principal component analysis.Diabetology & metabolic syndrome · 2025Article
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Abstract
Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations of mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy subjects pooled across 41 international cohorts from the ENIGMA, non-ENIGMA cohorts and public datasets. Using the Subtype and Stage Inference (SuStaIn) algorithm, we identify two distinct neurostructural subgroups by mapping the spatial and temporal 'trajectory' of gray matter change in schizophrenia. Subgroup 1 was characterized by an early cortical-predominant loss with enlarged striatum, whereas subgroup 2 displayed an early subcortical-predominant loss in the hippocampus, striatum and other subcortical regions. We confirmed the reproducibility of the two neurostructural subtypes across various sample sites, including Europe, North America and East Asia. This imaging-based taxonomy holds the potential to identify individuals with shared neurobiological attributes, thereby suggesting the viability of redefining existing disorder constructs based on biological factors.
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