ArticleSchizophrenia bulletin2025
Aberrant Cortical Morphological Networks in First-Episode Schizophrenia.
Article in Schizophrenia bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Complexity in disguise: a systematic review of fractal analysis in psychiatric neuroimaging.European radiology · 2026Pooled it
- Mapping topological abnormalities in cortical similarity networks to schizophrenia-associated gene expression.Dialogues in clinical neuroscience · 2026Article
- Shared subcortical-default mode morphological dysconnectivity in adolescent bipolar disorder, major depressive disorder and schizophrenia.Communications biology · 2026Article
- Bidirectional cortical gyrification alterations in chronic obstructive pulmonary disease: links to cognitive impairment and global initiative for chronic obstructive lung disease staging.BMC medical imaging · 2026Article
- Sulcal depth-based individualized structural covariance networks reveal multi-level brain reorganization associated with cognitive performance in COPD.Frontiers in neuroscience · 2026Article
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Authors and funding
16 authors.
Funding
Abstract
background and hypothesisPopulation-based morphological covariance networks are widely reported to be altered in schizophrenia. Individualized morphological brain network approaches have emerged recently. We hypothesize that individualized morphological brain networks are disrupted in schizophrenia. STUDY
designWe constructed single-subject morphological brain networks for 203 patients with first-episode schizophrenia (FES) and 131 healthy controls separately based on regional cortical thickness (CT), fractal dimension (FD), gyrification index, and sulcal depth (SD) by dividing the cerebral cortex into 360 regions in terms of the Human Connectome Project Multi-Modal Parcellation atlas.
resultsCompared with the controls, the patients exhibited morphological similarity reductions in all types of networks while increases in FD- and SD-based networks. The altered morphological similarities were commonly involved in cingulo-opercular and default mode networks. Interestingly, the altered morphological similarities accounted for clinical symptoms and cognitive dysfunction in the patients and distinguished the patients from controls, with better performance than altered local morphology. In addition, graph-based analysis revealed that global organization was intact while nodal centrality was altered in the patients as characterized by decreased degree and efficiency in the left inferior parietal cortex and increased efficiency in left area superior temporal gyrus for the CT-based networks, decreased degree and efficiency in the left Posterior Insular Area 2 for the FD-based networks, and decreased betweenness in the left Area 52 for the SD-based networks.
conclusionsThese findings indicate that FES is accompanied by characteristic disruptions in single-subject cortical morphological networks, which provide novel insights into neurobiological mechanisms underlying schizophrenia.
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