ArticleSchizophrenia bulletin2024
Associations Between Structural Covariance Network and Antipsychotic Treatment Response in Schizophrenia.
Article in Schizophrenia bulletin, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Effect of meditation on clinical symptoms and gray matter volume in chronic schizophrenia: a randomized controlled trial.European archives of psychiatry and clinical neuroscience · 2026Trial
- Risperidone reduces individualized morphometric similarity deviation in schizophrenia and associates with cortical transcriptomic patterns.Schizophrenia (Heidelberg, Germany) · 2026Article
- Neural substrates of treatment-resistant schizophrenia and the response to clozapine: A structural MRI study in a clinical setting.PloS one · 2026Article
- Distinct structural deficits in treatment-resistant schizophrenia and their putative neurotransmitter basis: a source-based morphometry analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Effects on Multimodal Connectivity Patterns in Female Schizophrenia During 8 Weeks of Antipsychotic Treatment.Schizophrenia bulletin · 2025Article
- Common and unique white matter fractional anisotropy patterns in patients with schizophrenia with medication-resistant auditory verbal hallucinations: a retrospective tract-based spatial statistics study.Schizophrenia (Heidelberg, Germany) · 2025Article
- MRI-based insights into brain structural and functional alterations in schizophrenia treated with risperidone.Frontiers in psychiatry · 2025Review
- Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia.Frontiers in psychiatry · 2025Article
- Disrupted Cross-Scale Network Associated With Cognitive-Emotional Disorders in Sudden Sensorineural Hearing Loss.CNS neuroscience & therapeutics · 2025Article
- Addressing brain metabolic connectivity in treatment-resistant schizophrenia: a novel graph theory-driven application ofSchizophrenia (Heidelberg, Germany) · 2024Article
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Authors and funding
15 authors at 6 institutions in 3 countries.
Funding
Abstract
background and hypothesisSchizophrenia is associated with widespread cortical thinning and abnormality in the structural covariance network, which may reflect connectome alterations due to treatment effect or disease progression. Notably, patients with treatment-resistant schizophrenia (TRS) have stronger and more widespread cortical thinning, but it remains unclear whether structural covariance is associated with treatment response in schizophrenia. STUDY
designWe organized a multicenter magnetic resonance imaging study to assess structural covariance in a large population of TRS and non-TRS, who had been resistant and responsive to non-clozapine antipsychotics, respectively. Whole-brain structural covariance for cortical thickness was assessed in 102 patients with TRS, 77 patients with non-TRS, and 79 healthy controls (HC). Network-based statistics were used to examine the difference in structural covariance networks among the 3 groups. Moreover, the relationship between altered individual differentiated structural covariance and clinico-demographics was also explored. STUDY
resultsPatients with non-TRS exhibited greater structural covariance compared with HC, mainly in the fronto-temporal and fronto-occipital regions, while there were no significant differences in structural covariance between TRS and non-TRS or HC. Higher individual differentiated structural covariance was associated with lower general scores of the Positive and Negative Syndrome Scale in the non-TRS group, but not in the TRS group.
conclusionsThese findings suggest that reconfiguration of brain networks via coordinated cortical thinning is related to treatment response in schizophrenia. Further longitudinal studies are warranted to confirm if greater structural covariance could serve as a marker for treatment response in this disease.
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