Year: 2025
Type: article
Study design: Observational Study
Abstract: Introduction: Morphometric similarity is a recently developed neuroimaging phenotype of inter-regional connectivity by quantifying the similarity of a region to other regions based on multiple MRI parameters. Altered average morphometric similarity has been reported in psychotic disorders at the group level, with considerable heterogeneity across individuals. We used normative modeling to address cross-sectional and longitudinal inter-individual heterogeneity of morphometric similarity in health and schizophrenia. Methods: Morphometric similarity for 62 cortical regions was obtained from baseline and follow-up T1-weighted scans of healthy individuals and patients with chronic schizophrenia. Cortical regions were classified into seven predefined brain functional networks. Using Bayesian Linear Regression and taking into account age, sex, image quality and scanner, we trained and validated normative models in healthy controls from eleven datasets (n = 4310). Individual deviations from the norm (z-scores) in morphometric similarity were computed for each participant for each network and region at both timepoints. A z-score ≧ than 1.96 was considered supra-normal and a z-score ≦ -1.96 infra-normal. As a longitudinal metric, we calculated the change over time of the total number of infra- or supra-normal regions per participant. Results: At baseline, patients with schizophrenia had decreased morphometric similarity of the default mode network and increased morphometric similarity of the somatomotor network when compared with healthy controls. The percentage of patients with infra- or supra-normal values for any region at baseline and follow-up was low (<6%) and did not differ from healthy controls. Mean intra-group changes over time in the total number of infra- or supra-normal regions were small in schizophrenia and healthy control groups (<1) and there were no significant between-group differences. Conclusions: In a case-control setting, a decrease of morphometric similarity within the default mode network may be a robust finding implicated in schizophrenia. However, normative modeling suggests that significant reductions and changes over time of regional morphometric similarity are evident only in a minority of patients.
Source: Schizophrenia
Institutions: Instituto de Salud Carlos III, Hospital General Universitario Gregorio Marañón, Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Investigación Sanitaria Gregorio Marañón, Universidad Complutense de Madrid, Universidad de La Laguna, Centre Hospitalier Universitaire Vaudois, Centre d'Imagerie BioMedicale, University of Lausanne, University Medical Center Utrecht, Erasmus MC, Erasmus MC - Sophia Children’s Hospital, Icahn School of Medicine at Mount Sinai, Utrecht University
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,890
Funders: Autism Speaks, Fundación Alicia Koplowitz, European Federation of Pharmaceutical Industries and Associations, Simons Foundation Autism Research Initiative, Ministerio de Ciencia, Innovación y Universidades, European Commission, Ministerio de Economía y Competitividad, Ministerio de Ciencia e Innovación, Centro de Investigación Biomédica en Red de Salud Mental, National Institutes of Health, Horizon 2020 Framework Programme, HORIZON EUROPE Framework Programme, Instituto de Salud Carlos III, European Regional Development Fund, National Institute of Mental Health, NextGenerationEU
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OpenAlex ID: W4409765511