ArticleSchizophrenia (Heidelberg, Germany)2024
Topological abnormalities of the morphometric similarity network of the cerebral cortex in schizophrenia.
Article in Schizophrenia (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Mapping topological abnormalities in cortical similarity networks to schizophrenia-associated gene expression.Dialogues in clinical neuroscience · 2026Article
- Polygenic Resilience Scores are Associated With Lower Penetrance of Schizophrenia Risk Genes, Protection Against Psychiatric and Medical Disorders, and Enhanced Mental Well-Being and Cognition.Schizophrenia bulletin · 2026Article
- Morphometric Similarity Loss and Gray Matter Atrophy Align with Neurotransmitter and Mitochondrial Maps in Drug-Resistant Epilepsy.Neuropsychiatric disease and treatment · 2026Article
- Neuroendocrine-vascular interaction is associated with thalamocortical disorganization and cognitive decline in perimenopausal hypertension.Frontiers in medicine · 2026Article
- Cortical Morphology and Morphometric Similarity Network Topology Alterations in Preterm Neonates: Insights From an East Asian Cohort.Human brain mapping · 2025Article
- Reduced brain structural similarity is associated with maturation, neurobiological features, and clinical status in schizophrenia.Nature communications · 2025Article
- Estimating Brain Similarity Networks With Diffusion MRI.Human brain mapping · 2025Article
- Multimodal Morphometric Similarity Network Analysis of Autism Spectrum Disorder.Brain sciences · 2025Article
- Investigating Connectivity Gradients in Schizophrenia: Integrating Functional, Structural, and Genetic Perspectives.Brain sciences · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
A morphometric similarity (MS) network can be constructed using multiple magnetic resonance imaging parameters of each cortical region. An MS network can be used to assess the similarity between cortical regions. Although MS networks can detect microstructural alterations and capture connections between histologically similar cortical areas, the influence of schizophrenia on the topological characteristics of MS networks remains unclear. We obtained T1- and diffusion-weighted images of 239 healthy controls and 190 individuals with schizophrenia to construct the MS network. Group comparisons of the mean MS of the cortical regions and subnetworks were performed. The strengths of the connections between the cortical regions and the global and nodal network indices were compared between the groups. Clinical associations with the network indices were tested using Spearman's rho. Compared with healthy controls, individuals with schizophrenia had significant group differences in the mean MS of several cortical regions and subnetworks. Individuals with schizophrenia had both superior and inferior strengths of connections between cortical regions compared with those of healthy controls. We observed regional abnormalities of the MS network in individuals with schizophrenia regarding lower centrality values of the pars opercularis, superior frontal, and superior temporal areas. Specific nodal network measures of the right pars opercularis and left superior temporal areas were associated with illness duration in individuals with schizophrenia. We identified regional abnormalities of the MS network in schizophrenia with the left superior temporal area possibly being a key region in topological organization and cortical connections.
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Registered trials
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