Heterogeneity of morphometric similarity networks in health and schizophrenia
Abstract Reduced structural network connectivity is proposed as a biomarker for chronic schizophrenia. This study assessed regional morphometric similarity as an indicator of cortical inter-regional connectivity, employing longitudinal normative modeling to evaluate whether decreases are consistent...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-04-01
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| Series: | Schizophrenia |
| Online Access: | https://doi.org/10.1038/s41537-025-00612-2 |
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| author | Joost Janssen Ana Guil Gallego Covadonga Martínez Díaz-Caneja Noemi Gonzalez Lois Niels Janssen Javier González-Peñas Pedro Macias Gordaliza Elizabeth Buimer Neeltje van Haren Celso Arango René Kahn Hilleke E. Hulshoff Pol Hugo G. Schnack |
| author_facet | Joost Janssen Ana Guil Gallego Covadonga Martínez Díaz-Caneja Noemi Gonzalez Lois Niels Janssen Javier González-Peñas Pedro Macias Gordaliza Elizabeth Buimer Neeltje van Haren Celso Arango René Kahn Hilleke E. Hulshoff Pol Hugo G. Schnack |
| author_sort | Joost Janssen |
| collection | DOAJ |
| description | Abstract Reduced structural network connectivity is proposed as a biomarker for chronic schizophrenia. This study assessed regional morphometric similarity as an indicator of cortical inter-regional connectivity, employing longitudinal normative modeling to evaluate whether decreases are consistent across individuals with schizophrenia. Normative models were trained and validated using data from healthy controls (n = 4310). Individual deviations from these norms were measured at baseline and follow-up, and categorized as infra-normal, normal, or supra-normal. Additionally, we assessed the change over time in the total number of infra- or supra-normal regions for each individual. At baseline, patients exhibited reduced morphometric similarity within the default mode network compared to healthy controls. The proportion of patients with infra- or supra-normal values in any region at both baseline and follow-up was low (<6%) and similar to that of healthy controls. Mean intra-group changes in the number of infra- or supra-normal regions over time were minimal (<1) for both the schizophrenia and control groups, with no significant differences observed between them. Normative modeling with multiple timepoints enables the identification of patients with significant static decreases and dynamic changes of morphometric similarity over time and provides further insight into the pervasiveness of morphometric similarity abnormalities across individuals with chronic schizophrenia. |
| format | Article |
| id | doaj-art-4a9537b9e2904eb38ab8a4ec92af8f8a |
| institution | OA Journals |
| issn | 2754-6993 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Schizophrenia |
| spelling | doaj-art-4a9537b9e2904eb38ab8a4ec92af8f8a2025-08-20T02:30:23ZengNature PortfolioSchizophrenia2754-69932025-04-0111111010.1038/s41537-025-00612-2Heterogeneity of morphometric similarity networks in health and schizophreniaJoost Janssen0Ana Guil Gallego1Covadonga Martínez Díaz-Caneja2Noemi Gonzalez Lois3Niels Janssen4Javier González-Peñas5Pedro Macias Gordaliza6Elizabeth Buimer7Neeltje van Haren8Celso Arango9René Kahn10Hilleke E. Hulshoff Pol11Hugo G. Schnack12Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)Department of Psychology, Universidad de la LagunaDepartment of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)CIBM Center for Biomedical ImagingDepartment of Psychiatry, UMCU Brain Center, University Medical Center UtrechtDepartment of Psychiatry, UMCU Brain Center, University Medical Center UtrechtDepartment of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM)Department of Psychiatry, UMCU Brain Center, University Medical Center UtrechtDepartment of Psychiatry, UMCU Brain Center, University Medical Center UtrechtDepartment of Psychiatry, UMCU Brain Center, University Medical Center UtrechtAbstract Reduced structural network connectivity is proposed as a biomarker for chronic schizophrenia. This study assessed regional morphometric similarity as an indicator of cortical inter-regional connectivity, employing longitudinal normative modeling to evaluate whether decreases are consistent across individuals with schizophrenia. Normative models were trained and validated using data from healthy controls (n = 4310). Individual deviations from these norms were measured at baseline and follow-up, and categorized as infra-normal, normal, or supra-normal. Additionally, we assessed the change over time in the total number of infra- or supra-normal regions for each individual. At baseline, patients exhibited reduced morphometric similarity within the default mode network compared to healthy controls. The proportion of patients with infra- or supra-normal values in any region at both baseline and follow-up was low (<6%) and similar to that of healthy controls. Mean intra-group changes in the number of infra- or supra-normal regions over time were minimal (<1) for both the schizophrenia and control groups, with no significant differences observed between them. Normative modeling with multiple timepoints enables the identification of patients with significant static decreases and dynamic changes of morphometric similarity over time and provides further insight into the pervasiveness of morphometric similarity abnormalities across individuals with chronic schizophrenia.https://doi.org/10.1038/s41537-025-00612-2 |
| spellingShingle | Joost Janssen Ana Guil Gallego Covadonga Martínez Díaz-Caneja Noemi Gonzalez Lois Niels Janssen Javier González-Peñas Pedro Macias Gordaliza Elizabeth Buimer Neeltje van Haren Celso Arango René Kahn Hilleke E. Hulshoff Pol Hugo G. Schnack Heterogeneity of morphometric similarity networks in health and schizophrenia Schizophrenia |
| title | Heterogeneity of morphometric similarity networks in health and schizophrenia |
| title_full | Heterogeneity of morphometric similarity networks in health and schizophrenia |
| title_fullStr | Heterogeneity of morphometric similarity networks in health and schizophrenia |
| title_full_unstemmed | Heterogeneity of morphometric similarity networks in health and schizophrenia |
| title_short | Heterogeneity of morphometric similarity networks in health and schizophrenia |
| title_sort | heterogeneity of morphometric similarity networks in health and schizophrenia |
| url | https://doi.org/10.1038/s41537-025-00612-2 |
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