Aberrant Subnetwork and Hub Dysconnectivity in Adult Bipolar Disorder: A Multicenter Graph Theory Analysis

Abstract Neuroimaging evidence implicates structural network-level abnormalities in bipolar disorder (BD); however, there remain conflicting results in the current literature hampered by sample size limitations and clinical heterogeneity. Here, we set out to perform a multisite graph theory analysis...

Full description

Saved in:
Bibliographic Details
Published inCerebral cortex (New York, N.Y. 1991) Vol. 32; no. 10; pp. 2254 - 2264
Main Authors Nabulsi, Leila, McPhilemy, Genevieve, O’Donoghue, Stefani, Cannon, Dara M, Kilmartin, Liam, O’Hora, Denis, Sarrazin, Samuel, Poupon, Cyril, D’Albis, Marc-Antoine, Versace, Amelia, Delavest, Marine, Linke, Julia, Wessa, Michèle, Phillips, Mary L, Houenou, Josselin, McDonald, Colm
Format Journal Article
LanguageEnglish
Published United States Oxford University Press 14.05.2022
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Abstract Neuroimaging evidence implicates structural network-level abnormalities in bipolar disorder (BD); however, there remain conflicting results in the current literature hampered by sample size limitations and clinical heterogeneity. Here, we set out to perform a multisite graph theory analysis to assess the extent of neuroanatomical dysconnectivity in a large representative study of individuals with BD. This cross-sectional multicenter international study assessed structural and diffusion-weighted magnetic resonance imaging data obtained from 109 subjects with BD type 1 and 103 psychiatrically healthy volunteers. Whole-brain metrics, permutation-based statistics, and connectivity of highly connected nodes were used to compare network-level connectivity patterns in individuals with BD compared with controls. The BD group displayed longer characteristic path length, a weakly connected left frontotemporal network, and increased rich-club dysconnectivity compared with healthy controls. Our multisite findings implicate emotion and reward networks dysconnectivity in bipolar illness and may guide larger scale global efforts in understanding how human brain architecture impacts mood regulation in BD.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Leila Nabulsi and Genevieve McPhilemy have contributed equally to this work.
ISSN:1047-3211
1460-2199
DOI:10.1093/cercor/bhab356