ArticleNeuroImage. Clinical2020
Structural abnormality in schizophrenia versus bipolar disorder: A whole brain cortical thickness, surface area, volume and gyrification analyses.
Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.
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Who cites it
46 citing papers in PubMed, 3 syntheses or guidelines pooled it, 78 citations in OpenAlex.
- Brain gyrification in bipolar disorder: a systematic review of neuroimaging studies.Brain imaging and behavior · 2022Pooled it
- Cortical Thickness Abnormalities at Different Stages of the Illness Course in Schizophrenia: A Systematic Review and Meta-analysis.JAMA psychiatry · 2022Pooled it
- Meta-analysis of cortical thickness reduction in adult schizophrenia.Journal of psychiatry & neuroscience : JPNPooled it
- Parsing the Functional Heterogeneity of the Psychosis Spectrum: A Clinically Informed Application of Genomic Structural Equation Modeling.medRxiv : the preprint server for health sciences · 2026Article
- Subtyping psychotic disorders using a data-driven approach reveals divergent cortical and cellular signatures.Molecular psychiatry · 2026Article
- Review
- Widespread cortical thinning and subcortical alterations in mood and psychotic disorders across first-episode and chronic stages.Journal of affective disorders · 2026Article
- Longitudinal Trajectories of Cortical Folding in Schizophrenia Spectrum Disorders: A 13-Year Follow-Up Study.Schizophrenia bulletin · 2026Article
- Toward neuroimaging-based diagnostic support: a deep learning approach with a closed-loop system for psychiatric classification.iScience · 2025Article
- Structural brain variability in recent-onset and chronic schizophrenia: evidence from person-based similarity index analysis.Acta neuropsychiatrica · 2025Article
- Meta-sGWAS: Integrating brain spatial interactions to uncover genetic variants in Bipolar Disorder.Research square · 2025Article
- Integrative analysis of miRNA expression profiles reveals distinct and common molecular mechanisms underlying broad diagnostic groups of severe mental disorders.Molecular psychiatry · 2025Article
- Mapping Structural Neuroimaging Trajectories in Bipolar Disorder: Neurobiological and Clinical Implications.Biological psychiatry · 2025Review
- Subcortical volumes, frontal cortical thickness, and pro-inflammatory cytokines in schizophrenia versus methamphetamine-induced psychosis.Brain imaging and behavior · 2025Article
- Neurobiological correlates of schizophrenia-specific and highly pleiotropic genetic risk scores for neuropsychiatric disorders.Translational psychiatry · 2025Article
- Beyond volume: Unraveling the genetics of human brain geometry.Science advances · 2025Article
- Developmental trajectories of gyrification and sulcal morphometrics in children and adolescents at high familial risk for bipolar disorder or schizophrenia.Developmental cognitive neuroscience · 2025Article
- A generalizable normative deep autoencoder for brain morphological anomaly detection: application to the multi-site StratiBip dataset on bipolar disorder in an external validation framework.Artificial intelligence in medicine · 2025Article
- Characterising the association between posterior parietal metabolite levels and cortical macrostructure in a cohort spanning childhood to adulthood.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
Corrections and comments
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Authors and funding
18 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe profiles of cortical abnormalities in schizophrenia and bipolar disorder, and how far they resemble each other, have only been studied to a limited extent. The aim of this study was to identify and compare the changes in cortical morphology associated with these pathologies.
methodsA total of 384 subjects, including 128 patients with schizophrenia, 128 patients with bipolar disorder and 127 sex-age-matched healthy subjects, were examined using cortical surface-based morphology. Four cortical structural measures were studied: cortical volume (CV), cortical thickness (CT), surface area (SA) and gyrification index (GI). Group comparisons for each separate cortical measure were conducted.
resultsAt a threshold of P = 0.05 corrected, both patient groups showed significant widespread CV and CT reductions in similar areas compared to healthy subjects. However, the changes in schizophrenia were more pronounced. While CV decrease in bipolar disorder was exclusively explained by cortical thinning, in schizophrenia it was driven by changes in CT and partially by SA. Reduced GI was only found in schizophrenia. The direct comparison between both disorders showed significant reductions in all measures in patients with schizophrenia.
conclusionsCortical volume and cortical thickness deficits are shared between patients with schizophrenia and bipolar disorder, suggesting that both pathologies may be affected by similar environmental and neurodegenerative factors. However, the exclusive alteration in schizophrenia of metrics related to the geometry and curvature of the brain cortical surface (SA, GI) suggests that this group is influenced by additional neurodevelopmental and genetic factors.
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