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Connectome architecture shapes large-scale cortical reorganization in schizophrenia: a worldwide ENIGMA study

Authors :
Foivos Georgiadis
Sara Larivière
David Glahn
L. Elliot Hong
Peter Kochunov
Bryan Mowry
Carmel Loughland
Christos Pantelis
Frans A. Henskens
Melissa J. Green
Murray J. Cairns
Patricia T Michie
Paul E. Rasser
Paul Tooney
Rodney J. Scott
Stanley Catts
Ulrich Schall
Vaughan Carr
Yann Quidé
Axel Krug
Frederike Stein
Igor Nenadić
Katharina Brosch
Tilo Kircher
Raquel Gur
Ruben Gur
Theodore D. Satterthwaite
Andriana Karuk
Edith Pomarol-Clotet
Joaquim Radua
Paola Fuentes-Claramonte
Raymond Salvador
Gianfranco Spalletta
Aristotle Voineskos
Kang Sim
Benedicto Crespo-Facorro
Diana Tordesillas Gutiérrez
Stefan Ehrlich
Nicolas Crossley
Dominik Grotegerd
Jonathan Repple
Rebekka Lencer
Udo Dannlowski
Vince Calhoun
Caroline Demro
Ian S. Ramsay
Scott. Sponheim
Andre Schmidt
Stefan Borgwardt
Alexander S. Tomyshev
Irina Lebedeva
Cyril Hoschl
Filip Spaniel
Adrian Preda
Dana Nguyen
Anne Uhlmann
Dan J Stein
Fleur M Howells
Henk S. Temmingh
Ana M. Diaz Zuluaga
Carlos López Jaramillo
Felice Iasevoli
Ellen Ji
Stephanie Homan
Wolfgang Omlor
Philipp Homan
Stefan Kaiser
Erich Seifritz
Bratislav Misic
Paul Thompson
Theo G.M. van Erp
Jessica Turner
Boris Bernhardt
Matthias Kirschner
Publication Year :
2023
Publisher :
Cold Spring Harbor Laboratory, 2023.

Abstract

ObjectiveSchizophrenia is associated with widespread brain-morphological alterations, believed to be shaped by the underlying connectome architecture. This study tests whether large-scale structural reorganization in schizophrenia relates to normative network architecture, in particular regional centrality/hubness and connectivity patterns. We examine network effects in schizophrenia across different disease stages, and transdiagnostically explore consistency of such relationships in patients with bipolar and major depressive disorder.MethodsWe studied anatomical MRI scans from 2,439 adults with schizophrenia and 2,867 healthy controls from 26 ENIGMA sites. Case-control patterns of structural alterations were evaluated against two network susceptibility models: 1) hub vulnerability, which examines associations between regional network centrality and magnitude of disease-related alterations; 2) epicenter models, which identify regions whose typical connectivity profile most closely resembles the disease-related morphological alteration patterns. Both susceptibility models were tested across schizophrenia disease stages and compared to meta-analytic bipolar and major depressive disorder case-control maps.ResultsIn schizophrenia, regional gray matter reductions co-localized with interconnected hubs, in both the functional (r=0.58, pspinspin=0.01). Epicenters were identified in temporo-paralimbic regions, extending to frontal areas. We found unique epicenters for first-episode and early stages, and a shift from occipital to temporal-frontal epicenters in chronic stages. Transdiagnostic comparisons revealed shared epicenters in schizophrenia and bipolar, but not major depressive disorders.ConclusionsCortical reorganization over the course of schizophrenia closely reflects brain network architecture, emphasizing marked hub susceptibility and temporo-frontal epicenters. The observed overlapping epicenters for schizophrenia and bipolar disorder furthermore suggest shared pathophysiological processes within the schizophrenia-bipolar-spectrum.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........7501187a217293c4c26ceb2888ce3501
Full Text :
https://doi.org/10.1101/2023.02.12.527904