ArticleSchizophrenia bulletin2017
Distinct Patterns of Cerebral Cortical Thinning in Schizophrenia: A Neuroimaging Data-Driven Approach.
Article in Schizophrenia bulletin, 2017. 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.
- Shared genetic architecture of gray matter deficits in schizophrenia and bipolar disorder: evidence from structural neuroimaging-genetic analyses.Psychological medicine · 2026Pooled it
- Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium.Biological psychiatry · 2018Pooled it
- Neuroanatomical Correlates of Negative Symptoms in Schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- Subcortical volumes, frontal cortical thickness, and pro-inflammatory cytokines in schizophrenia versus methamphetamine-induced psychosis.Brain imaging and behavior · 2025Article
- Imaging Biomarker Studies of Antipsychotic-Naïve First-Episode Schizophrenia in China: Progress and Future Directions.Schizophrenia bulletin · 2025Review
- Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning.Biological psychiatry · 2024Review
- Article
- Cortical morphological heterogeneity of schizophrenia and its relationship with glutamatergic receptor variations.European psychiatry : the journal of the Association of European Psychiatrists · 2023Article
- Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium.Molecular psychiatry · 2023Article
- Morphological fingerprinting: Identifying patients with first-episode schizophrenia using auto-encoded morphological patterns.Human brain mapping · 2023Article
- Clinical, Brain, and Multilevel Clustering in Early Psychosis and Affective Stages.JAMA psychiatry · 2022Article
- Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.Medical image analysis · 2022Article
- Editorial: Prognostic imaging biomarkers in psychotic disorders.Frontiers in psychiatry · 2022Article
- Widespread cortical thinning, excessive glutamate and impaired linguistic functioning in schizophrenia: A cluster analytic approach.Frontiers in human neuroscience · 2022Article
- Negative symptoms correlate with altered brain structural asymmetry in amygdala and superior temporal region in schizophrenia patients.Frontiers in psychiatry · 2022Article
- Allostatic Load Effects on Cortical and Cognitive Deficits in Essentially Normotensive, Normoweight Patients with Schizophrenia.Schizophrenia bulletin · 2021Article
- Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a "Diagnostic Label-Free" Approach: Application to Schizophrenia Datasets.Frontiers in neuroscience · 2021Article
- Cortical Gyrification, Psychotic-Like Experiences, and Cognitive Performance in Nonclinical Subjects.Schizophrenia bulletin · 2020Article
- Corticolimbic brain anomalies are associated with cognitive subtypes in psychosis: A longitudinal study.European psychiatry : the journal of the Association of European Psychiatrists · 2020Article
- Morphological Profiling of Schizophrenia: Cluster Analysis of MRI-Based Cortical Thickness Data.Schizophrenia bulletin · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Schizophrenia is an etiologically and clinically heterogeneous disorder. Although neuroimaging studies have revealed brain alterations in schizophrenia, most studies have assumed that the disorder is a single entity, neglecting the diversity of alterations observed in the disorder. The current study sought to explore the distinct patterns of altered cortical thickness in patients with schizophrenia and healthy individuals using a data-driven approach. Unsupervised clustering using self-organizing maps followed by a K-means algorithm was applied to regional cortical thickness data in 108 schizophrenia patients and 121 healthy controls. After clustering, the clinical characteristics and cortical thickness patterns of each cluster were assessed. Unsupervised clustering revealed that a 6-cluster solution was the most appropriate in this sample. There was substantial overlap between the patterns of cortical thickness in schizophrenia patients and healthy controls, although the distributions of the patients and controls differed across the clusters. The patterns of altered cortical thickness in schizophrenia exhibited cluster-specific features; patients within a cluster exhibited the most extensive cortical thinning, particularly in the medial prefrontal and temporal regions, while those in other clusters exhibited reduced cortical thickness in the medial frontal region or temporal lobe. Furthermore, in the schizophrenia group, extensive cortical thinning was correlated with a higher dosage of antipsychotic medication, while preserved cortical thickness appeared to be linked to less negative symptoms. This data-driven neuroimaging approach revealed distinct patterns of cortical thinning in schizophrenia, possibly reflecting the etiological heterogeneity of the disorder.
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