ArticleBiological psychiatry2017
Brain Structure Biomarkers in the Psychosis Biotypes: Findings From the Bipolar-Schizophrenia Network for Intermediate Phenotypes.
Article in Biological psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 3 of them syntheses that pooled it.
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Who cites it
82 citing papers in PubMed, 3 syntheses or guidelines pooled it, 144 citations in OpenAlex.
- Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorder.Human brain mapping · 2022Pooled it
- Brain structural correlates of familial risk for mental illness: a meta-analysis of voxel-based morphometry studies in relatives of patients with psychotic or mood disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Pooled it
- Gray matter bases of psychotic features in adult bipolar disorder: A systematic review and voxel-based meta-analysis of neuroimaging studies.Human brain mapping · 2018Pooled it
- Eye-Tracking in Bipolar Disorder: A Methodology-Focused Narrative Review.Medicina (Kaunas, Lithuania) · 2026Review
- Estimating Accelerated Retinal Decline in Mental Health Disorders Through Normative Modeling.Schizophrenia bulletin · 2026Article
- Subtyping psychotic disorders using a data-driven approach reveals divergent cortical and cellular signatures.Molecular psychiatry · 2026Article
- Identifying transdiagnostic neurobiomarkers for precision major psychiatric disordersJournal of translational internal medicine · 2026Article
- Brain Age Disparities in Psychosis Across DSM Diagnoses and B-SNIP Biotypes.Schizophrenia bulletin · 2026Article
- Schizophrenia Pathophysiology: Neurotransmitter Dysfunctions and Biomarker Frontiers.Current topics in medicinal chemistry · 2026Review
- The BAsic NeuroCognitive Continuum (BANCC): Delineation of dimensional and categorical features for etiological and treatment investigations of idiopathic psychosis.Psychiatry and clinical neurosciences · 2025Article
- Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework.Human brain mapping · 2025Article
- Differentiating biomarker features and familial characteristics of B-SNIP psychosis Biotypes.Translational psychiatry · 2025Article
- Proposal for a Novel Classification of Patients With Enlarged Ventricles and Cognitive Impairment Based on Data-Driven Analysis of Neuroimaging Results in Patients With Psychiatric Disorders.Neuropsychopharmacology reports · 2025Article
- Identifying neurobiological heterogeneity in clinical high-risk psychosis: a data-driven biotyping approach using resting-state functional connectivity.Schizophrenia (Heidelberg, Germany) · 2025Article
- Putative Risk Biomarkers of Bipolar Disorder in At-risk Youth.Neuroscience bulletin · 2024Review
- Dysfunctional Parvalbumin Neurons in Schizophrenia and the Pathway to the Clinical Application of Kv3 Channel Modulators.International journal of molecular sciences · 2024Review
- Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study.Molecular psychiatry · 2024Article
- Categorical and Dimensional Approaches for Psychiatric Classification and Treatment Targeting: Considerations from Psychosis Biotypes.Advances in neurobiology · 2024Review
- Microstructural and Microvascular Alterations in Psychotic Spectrum Disorders: A Three-Compartment Intravoxel Incoherent Imaging and Free Water Model.Schizophrenia bulletin · 2023Article
- Endophenotype trait domains for advancing gene discovery in autism spectrum disorder.Journal of neurodevelopmental disorders · 2023Review
22 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors at 7 institutions in 2 countries.
Funding
Abstract
backgroundThe current definitions of psychotic illness lack biological validity, motivating alternative biomarker-driven disease entities. Building on experimental constructs-Biotypes-that were previously developed from cognitive and neurophysiologic measures, we contrast brain anatomy characteristics across Biotypes alongside conventional diagnoses, examining gray matter density (GMD) as an independent validator for the Biotypes.
methodsWhole brain GMD measures were examined in probands, their relatives, and healthy subjects organized by Biotype and then by DSM-IV-TR diagnosis (n = 1409) using voxel-based morphometry with subsequent subject-level regional characterization and distribution analyses.
resultsProbands grouped by Biotype versus healthy controls showed a stepwise pattern of GMD reductions as follows: Biotype1, extensive and diffusely distributed GMD loss, with the largest effects in frontal, anterior/middle cingulate cortex, and temporal regions; Biotype2, intermediate and more localized reductions, with the largest effects in insula and frontotemporal regions; and Biotype3, small reductions localized to anterior limbic regions. Relatives showed regionally distinct GMD reductions versus healthy controls, with primarily anterior (frontotemporal) effects in Biotype1; posterior (temporo-parieto-cerebellar) in Biotype2; and normal GMD in Biotype3. Schizophrenia and schizoaffective probands versus healthy controls showed overlapping GMD reductions, with the largest effects in frontotemporal and parietal regions; psychotic bipolar probands had small reductions, primarily in frontal regions. GMD changes in relatives followed regional patterns observed in probands, albeit less extensive. Biotypes showed stronger between-group separation based on GMD than the conventional diagnoses and were the strongest predictor of GMD change.
conclusionsGMD biomarkers depicted unique brain structure characteristics within Biotypes, consistent with their cognitive and sensorimotor profiles, and provided stronger discrimination for biologically driven biotypes than symptom-based diagnoses.
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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.