Literature DB >> 34607352

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

Leila Nabulsi1,2, Genevieve McPhilemy1, Stefani O'Donoghue1, Dara M Cannon1, Liam Kilmartin3, Denis O'Hora4, Samuel Sarrazin5,6, Cyril Poupon6, Marc-Antoine D'Albis5,6, Amelia Versace7,8, Marine Delavest9, Julia Linke10, Michèle Wessa10, Mary L Phillips7,8, Josselin Houenou5,6, Colm McDonald1.   

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.
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Entities:  

Keywords:  bipolar disorder; diffusion-weighted MRI; graph theory; multisite; structural connectivity

Mesh:

Year:  2022        PMID: 34607352      PMCID: PMC9113298          DOI: 10.1093/cercor/bhab356

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   4.861


  63 in total

1.  Disrupted rich club organization and structural brain connectome in unmedicated bipolar disorder.

Authors:  Ying Wang; Feng Deng; Yanbin Jia; Junjing Wang; Shuming Zhong; Huiyuan Huang; Lixiang Chen; Guanmao Chen; Huiqing Hu; Li Huang; Ruiwang Huang
Journal:  Psychol Med       Date:  2018-05-08       Impact factor: 7.723

2.  Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution.

Authors:  J-Donald Tournier; Fernando Calamante; Alan Connelly
Journal:  Neuroimage       Date:  2007-02-21       Impact factor: 6.556

3.  Whole-brain anatomical networks: does the choice of nodes matter?

Authors:  Andrew Zalesky; Alex Fornito; Ian H Harding; Luca Cocchi; Murat Yücel; Christos Pantelis; Edward T Bullmore
Journal:  Neuroimage       Date:  2009-12-24       Impact factor: 6.556

Review 4.  Graph analysis of the human connectome: promise, progress, and pitfalls.

Authors:  Alex Fornito; Andrew Zalesky; Michael Breakspear
Journal:  Neuroimage       Date:  2013-04-30       Impact factor: 6.556

5.  The Role of Intrinsic Brain Functional Connectivity in Vulnerability and Resilience to Bipolar Disorder.

Authors:  Gaelle E Doucet; Danielle S Bassett; Nailin Yao; David C Glahn; Sophia Frangou
Journal:  Am J Psychiatry       Date:  2017-08-18       Impact factor: 18.112

6.  The functional neuroanatomy of bipolar disorder: a consensus model.

Authors:  Stephen M Strakowski; Caleb M Adler; Jorge Almeida; Lori L Altshuler; Hilary P Blumberg; Kiki D Chang; Melissa P DelBello; Sophia Frangou; Andrew McIntosh; Mary L Phillips; Jessika E Sussman; Jennifer D Townsend
Journal:  Bipolar Disord       Date:  2012-06       Impact factor: 6.744

7.  Connectomic signatures of working memory deficits in depression, mania, and euthymic states of bipolar disorder.

Authors:  Jie Yang; Xuan Ouyang; Haojuan Tao; Weidan Pu; Zebin Fan; Can Zeng; Xiaojun Huang; Xudong Chen; Jun Liu; Zhening Liu; Lena Palaniyappan
Journal:  J Affect Disord       Date:  2020-05-24       Impact factor: 4.839

Review 8.  A neural model of voluntary and automatic emotion regulation: implications for understanding the pathophysiology and neurodevelopment of bipolar disorder.

Authors:  M L Phillips; C D Ladouceur; W C Drevets
Journal:  Mol Psychiatry       Date:  2008-06-24       Impact factor: 15.992

9.  Brain network analysis reveals affected connectome structure in bipolar I disorder.

Authors:  Guusje Collin; Martijn P van den Heuvel; Lucija Abramovic; Annabel Vreeker; Marcel A de Reus; Neeltje E M van Haren; Marco P M Boks; Roel A Ophoff; René S Kahn
Journal:  Hum Brain Mapp       Date:  2015-10-10       Impact factor: 5.038

10.  Fronto-limbic dysconnectivity leads to impaired brain network controllability in young people with bipolar disorder and those at high genetic risk.

Authors:  Jayson Jeganathan; Alistair Perry; Danielle S Bassett; Gloria Roberts; Philip B Mitchell; Michael Breakspear
Journal:  Neuroimage Clin       Date:  2018-03-27       Impact factor: 4.881

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  1 in total

1.  Calcium imaging reveals depressive- and manic-phase-specific brain neural activity patterns in a murine model of bipolar disorder: a pilot study.

Authors:  Min Chen; Hongjun Tian; Guoyong Huang; Tao Fang; Xiaodong Lin; Jianmin Shan; Ziyao Cai; Gaungdong Chen; Suling Chen; Ce Chen; Jing Ping; Langlang Cheng; Chunmian Chen; Jingjing Zhu; Feifei Zhao; Deguo Jiang; Chuanxin Liu; Guangchuan Huang; Chongguang Lin; Chuanjun Zhuo
Journal:  Transl Psychiatry       Date:  2021-12-07       Impact factor: 6.222

  1 in total

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