Individualized cortical gradient and network topology reveal symptom-linked disruptions and neurobiological subtypes in schizophrenia
Diğer yayınlar > Diğer · 2026
Yazarlar: Bin Wan, Sara Larivière, Clara A. Moreau, Varun Warrier, Richard A.I. Bethlehem, Yun-Shuang Fan, Yuankai He, Ingrid Agartz, Stener Nerland, Erik G. Jönsson, Derin Cobia, Lei Wang, Benedicto Crespo Facorro, Rafael Romero-Garcia, Patricia Segura, Nerisa Banaj, Daniela Vecchio, Tamsyn Van Rheenen, Philip J. Sumner, Elysha Ringin, Susan Rossell, Sean Carruthers, Will Woods, Matthew Hughes, Gary Donohoe, Emma Corley, Ulrich Schall, Frans Henskens, Rodney Scott, Patricia Michie, Carmel Loughland, Paul Rasser, Murray Cairns, Bryan Mowry, Stanley Catts, Christos Pantelis, Aristotle Voineskos, Erin Dickie, Henk Temmingh, Freda Scheffler, Oliver Gruber, Rosanne Picotin, Vince D. Calhoun, Kyle M. Jensen, Filip Španiel, David Tomecek, Raymond Salvador, Andriana Karuk, Edith Pomarol-Clotet, Tilo Kircher, Lea Teutenberg, Frederike Stein, Udo Dannlowski, Dominik Grotegerd, Tiana Borgers, Tim Hahn, Rebekka Lencer, Carlos López-Jaramillo, Melissa Green, Yann Quide, Vaughan Carr, Stefan Ehrlich, Peter Kochunov, Christian Sorg, Melissa Thalhammer, David Glahn, Amanda Rodrigue, Kang Sim, Ali Saffet Gonul, Aslihan Uyar Demir, Nicolas Crossley, Alfonso Gonzalez-Valderrama, Philipp Homan, Wolfgang Omlor, Giacomo Cecere, Felice Iasevoli, Giuseppe Pontillo, Raquel Gur, Ruben C. Gur, Kosha Ruparel, Theodore D. Satterthwaite, Scott Sponheim, Caroline Demro, Young Chul Chung, Soyolsaikhan Odkhuu, Albert Yang, I-Jou Chi, Ole Andreassen, Lars T. Westlye, Unn K. H. Haukvik, Nadine Parker, Jakub Kopal, Dag Alnaes, Jaroslav Rokicki, Carl M Sellgren, Maria Lee, Stefan Borgwardt, Mihai Avram, Taeyoung Lee, Hang Joon Jo
Diğer, Uluslararası, 2026,
Özet
Abstract Schizophrenia is conceptualized as a brain network disorder, yet the organizational principles and heterogeneity underlying widespread cortical abnormalities remain poorly understood. Leveraging multisite MRI data from 3,958 individuals diagnosed with schizophrenia and 5,489 neurotypical individuals, we studied the cortical organization and its subtyping by analyzing individualized cortical network similarity. We used eigenvector decompositions to study spatial patterning of the gradients and graph theory to study small-world topology. Individuals with schizophrenia showed widespread alterations of gradient loadings, which followed inferior-superior and frontal-temporal axes. Alterations in small-world topology were localized in key network hubs, including the insula and anterior cingulate cortex. Multivariate brain-symptom analyses revealed a latent dimension reflecting global symptom severity, with graded contributions, strongest for disorganization and weakest for affective symptoms. This dimension was specific to gradient and topology measures, with cortical thickness showing no regional associations and an inverted symptom ordering. Finally, clustering cortical alterations identified two robust subtypes, characterized by divergent anterior cingulate (S1) versus temporoparietal (S2) thickness differences aligned with the intrinsic gradient-topology patterns. Both subtypes were present early in the illness and stable across disease stages and age groups, with S1, characterized by anterior cingulate involvement, showing higher positive symptom burden at older ages. These findings reveal systematic disruptions of cortical organization in schizophrenia, providing a network-level framework for macroscale brain organization and inter-individual heterogeneity.