- Title
- Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study
- Creator
- Georgiadis, Foivos; Larivière, Sara; Cairns, Murray J.; Michie, Patricia T.; Rasser, Paul E.; Catts, Stanley; Tooney, Paul; Scott, Rodney J.; Schall, Ulrich; Carr, Vaughan; Quidé, Yann; Krug, Axel; Glahn, David; Stein, Frederike; Nenadić, I; Brosch, K; Kircher, T; Gur, R; Satterthwaite, TD; Karuk, A; Pomarol-Clotet, E; Radua, J; Hong, L. Elliot; Fuentes-Claramonte, P; Salvador, R; Spalletta, G; Voineskos, Aristotle; Sim, K; Crespo-Facorro, B; Tordesillas Gutiérrez, D; Ehrlich, S; Crossley, N; Grotegerd, D; Kochunov, Peter; Repple, J; Lencer, R; Dannlowski, U; Calhoun, V; Rootes-Murdy, K; Demro, C; Ramsay, IS; Sponheim, SR; Schmidt, A; Borgwardt, S; Mowry, Bryan; Tomyshev, A; Lebedeva, I; Höschl, C; Spaniel, F; Preda, A; Nguyen, D; Uhlmann, A; Stein, DJ; Howells, F; Temmingh, HS; Loughland, Carmel; Diaz Zuluaga, AM; López Jaramillo, C; Iasevoli, F; Ji, E; Homan, S; Omlor, W; Homan, P; Kaiser, S; Seifritz, E; Misic, B; Pantelis, Christos; Valk, SL; Thompson, P; van Erp, TGM; Turner, JA; ENIGMA Schizophrenia Consortium,; Bernhardt, B; Kirschner, M; Henskens, Frans A.; Green, Melissa J.
- Relation
- Molecular Psychiatry Vol. 29, p. 1869-1881
- Publisher Link
- http://dx.doi.org/10.1038/s41380-024-02442-7
- Publisher
- Nature Publishing Group
- Resource Type
- journal article
- Date
- 2024
- Description
- Schizophrenia is a prototypical network disorder with widespread brain-morphological alterations, yet it remains unclear whether these distributed alterations robustly reflect the underlying network layout. We tested whether large-scale structural alterations in schizophrenia relate to normative structural and functional connectome architecture, and systematically evaluated robustness and generalizability of these network-level alterations. Leveraging anatomical MRI scans from 2439 adults with schizophrenia and 2867 healthy controls from 26 ENIGMA sites and normative data from the Human Connectome Project (n = 207), we evaluated structural alterations of schizophrenia against two network susceptibility models: (i) hub vulnerability, which examines associations between regional network centrality and magnitude of disease-related alterations; (ii) epicenter mapping, which identifies regions whose typical connectivity profile most closely resembles the disease-related morphological alterations. To assess generalizability and specificity, we contextualized the influence of site, disease stages, and individual clinical factors and compared network associations of schizophrenia with that found in affective disorders. Our findings show schizophrenia-related cortical thinning is spatially associated with functional and structural hubs, suggesting that highly interconnected regions are more vulnerable to morphological alterations. Predominantly temporo-paralimbic and frontal regions emerged as epicenters with connectivity profiles linked to schizophrenia's alteration patterns. Findings were robust across sites, disease stages, and related to individual symptoms. Moreover, transdiagnostic comparisons revealed overlapping epicenters in schizophrenia and bipolar, but not major depressive disorder, suggestive of a pathophysiological continuity within the schizophrenia-bipolar-spectrum. In sum, cortical alterations over the course of schizophrenia robustly follow brain network architecture, emphasizing marked hub susceptibility and temporo-frontal epicenters at both the level of the group and the individual. Subtle variations of epicenters across disease stages suggest interacting pathological processes, while associations with patient-specific symptoms support additional inter-individual variability of hub vulnerability and epicenters in schizophrenia. Our work outlines potential pathways to better understand macroscale structural alterations, and inter- individual variability in schizophrenia.
- Subject
- schizophrenia; ENIGMA; morphological alterations; bipolar
- Identifier
- http://hdl.handle.net/1959.13/1510289
- Identifier
- uon:56370
- Identifier
- ISSN:1359-4184
- Rights
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Language
- eng
- Full Text
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