期刊
CEREBRAL CORTEX
卷 32, 期 10, 页码 2254-2264出版社
OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhab356
关键词
bipolar disorder; diffusion-weighted MRI; graph theory; multisite; structural connectivity
资金
- ANR MNP 2008
- Investissements d'Avenir program [ANR-11-IDEX-004-02]
- Fondation Pour la Recherche Medicale (Bioinformatic analysis for research in biology 2014 grant)
- German Deutsche Forschungsgemeinschaft [SFB636/C6, We3638/3-1]
- National Institute of Mental Health [R01 MH076971]
- Irish Research Council Postgraduate Scholarship
- Hardiman Research Scholarship
Neuroimaging evidence suggests structural network-level abnormalities in individuals with bipolar disorder (BD). In this multisite study, BD individuals showed connectivity patterns indicating dysconnectivity in emotion and reward networks.
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.
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