[en] [en] BACKGROUND: Resting-state functional magnetic resonance imaging (rsfMRI) studies have revealed patterns of functional brain dysconnectivity in psychiatric disorders such as major depression disorder (MDD), bipolar disorder (BD) and schizophrenia (SZ). Although these disorders have been mostly studied in isolation, there is mounting evidence of shared neurobiological alterations across them.
METHODS: To uncover the nature of the relatedness between these psychiatric disorders, we conducted an innovative meta-analysis of dysconnectivity findings reported separately in MDD, BD and SZ. Rather than relying on a classical voxel level coordinate-based approach, our procedure extracted relevant neuroanatomical labels from text data and examined findings at the whole brain network level. Data were drawn from 428 rsfMRI studies investigating MDD (158 studies, 7429 patients/7414 controls), BD (81 studies, 3330 patients/4096 patients) and/or SZ (223 studies, 11,168 patients/11,754 controls). Permutation testing revealed commonalities and differences in hypoconnectivity and hyperconnectivity patterns across disorders.
RESULTS: Hypoconnectivity and hyperconnectivity patterns of higher-order cognitive (default-mode, fronto-parietal, cingulo-opercular) networks were similarly observed across the three disorders. By contrast, dysconnectivity of lower-order (somatomotor, visual, auditory) networks in some cases differed between disorders, notably dissociating SZ from BD and MDD.
CONCLUSIONS: Findings suggest that functional brain dysconnectivity of higher-order cognitive networks is largely transdiagnostic in nature while that of lower-order networks may best discriminate between mood and psychotic disorders, thus emphasizing the relevance of motor and sensory networks to psychiatric neuroscience.
Disciplines :
Neurosciences & behavior
Author, co-author :
Grot, Stéphanie; Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada, Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
Smine, Salima; Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
Potvin, Stéphane; Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada, Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
Darcey, Maëliss; Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
Pavlov, Vilena; Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
Genon, Sarah ; Université de Liège - ULiège > Département des sciences cliniques ; Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany, Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
Nguyen, Hien; School of Mathematics and Physics, University of Queensland, St. Lucia, Queensland, Australia, Department of Mathematics and Statistics, Latrobe University, Melbourne, Victoria, Australia
Orban, Pierre ; Université de Liège - ULiège > Unités de recherche interfacultaires > GIGA-CRC In vivo Imaging (Centre de Recherche du Cyclotron) ; Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada, Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada. Electronic address: pierre.orban@umontreal.ca
Language :
English
Title :
Label-based meta-analysis of functional brain dysconnectivity across mood and psychotic disorders.
Publication date :
22 January 2024
Journal title :
Progress in Neuro-Psychopharmacology and Biological Psychiatry
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