ArticleSchizophrenia bulletin2015
Heterogeneity of structural brain changes in subtypes of schizophrenia revealed using magnetic resonance imaging pattern analysis.
Article in Schizophrenia bulletin, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 3 of them syntheses that pooled it.
What it found
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Who cites it
51 citing papers in PubMed, 3 syntheses or guidelines pooled it, 93 citations in OpenAlex.
- Estimating Multimodal Structural Brain Variability in Schizophrenia Spectrum Disorders: A Worldwide ENIGMA Study.The American journal of psychiatry · 2025Pooled it
- Heterogeneity and Homogeneity of Regional Brain Structure in Schizophrenia: A Meta-analysis.JAMA psychiatry · 2017Pooled it
- Detecting neuroimaging biomarkers for schizophrenia: a meta-analysis of multivariate pattern recognition studies.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2015Pooled it
- Predicting Response to Repetitive Transcranial Magnetic Stimulation in Patients With Schizophrenia Using Structural Magnetic Resonance Imaging: A Multisite Machine Learning Analysis.Schizophrenia bulletin · 2018Trial
- Trial
- Individualized cortical gradient and network topology reveal symptom-linked disruptions and neurobiological subtypes in schizophrenia.medRxiv : the preprint server for health sciences · 2026Article
- Sulcal Widening in Schizophrenia Maps onto Sulcal Hubs and Energy-Synaptic Genes.bioRxiv : the preprint server for biology · 2026Article
- Subtyping schizophrenia via machine learning by using structural neuroimaging.Translational psychiatry · 2025Review
- Frontal Disorders and Consciousness: A Review.Current neurology and neuroscience reports · 2025Review
- Fronto-Thalamic Structural Connectivity Associated With Schizotypy, a Psychosis Risk Phenotype, in Nonclinical Subjects.Schizophrenia bulletin · 2025Article
- Structural deviations of the posterior fossa and the cerebellum and their cognitive links in a neurodevelopmental deletion syndrome.Molecular psychiatry · 2024Article
- Article
- Generative artificial intelligence model for simulating structural brain changes in schizophrenia.Frontiers in psychiatry · 2024Article
- Modelling the overlap and divergence of autistic and schizotypal traits on hippocampal subfield volumes and regional cerebral blood flow.Molecular psychiatry · 2024Article
- Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia.European psychiatry : the journal of the Association of European Psychiatrists · 2023Article
- A multicentre study on grey matter morphometric biomarkers for classifying early schizophrenia and parkinson's disease psychosis.NPJ Parkinson's disease · 2023Article
- Psychotic disorders as a framework for precision psychiatry.Nature reviews. Neurology · 2023Review
- Morphometric Integrated Classification Index: A Multisite Model-Based, Interpretable, Shareable and Evolvable Biomarker for Schizophrenia.Schizophrenia bulletin · 2022Article
- Facial emotion perception abilities are related to grey matter volume in the culmen of cerebellum anterior lobe in drug-naïve patients with first-episode schizophrenia.Brain imaging and behavior · 2022Article
- Schizophrenia Imaging Signatures and Their Associations With Cognition, Psychopathology, and Genetics in the General Population.The American journal of psychiatry · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundSchizophrenia is a multifaceted mental disorder characterized by cognitive, perceptual, and affective symptom dimensions. This heterogeneity at the phenomenological level may be subserved by complex and heterogeneous patterns of structural abnormalities. Thus, delineating such patterns may improve the insight into the variability of disease and facilitate future magnetic resonance imaging-based diagnosis.
methodsWe aimed to identify structurally complex signatures that directly differentiate patients with predominantly negative (pNEG), positive (pPOS), and disorganized (pDIS) symptoms using Optimally-Discriminative Voxel-Based Analysis (ODVBA). ODVBA is a new analytical framework for group analysis, which showed to have superior sensitivity and specificity over conventional voxel-based morphometric approaches, thus facilitating the identification of subtle neuroanatomical signatures delineating different subgroups.
resultspPOS were characterized by pronounced gray matter (GM) volume reductions in the ventromedial prefrontal cortex (vmPFC), which herein is defined to include the orbitofrontal cortex, and in occipitotemporal GM and parts of the lingual gyrus. pNEG was found to have vmPFC reduction but to a lesser degree than pPOS and with a relative sparing of the more medial vmPFC regions, compared to pDIS; it also had significantly less cerebellar GM. pDIS showed relatively highest GM volume preservation among three subtypes.
conclusionsAlthough a common prefronto-perisylvian GM reduction pattern was present at the whole-group level, marked morphometric differences emerged between the three subgroups, including reduced cerebellar GM in pNEG and reduced vmPFC and occipitotemporal GM in pPOS. Besides deepening our insight into the neurobiological underpinnings of clinical heterogeneity, these results also identify important imaging biomarkers that may aid patient stratification.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.