Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland Galway, Galway H91 TK33, Ireland.
Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA 90292, USA.
Cereb Cortex. 2022 May 14;32(10):2254-2264. doi: 10.1093/cercor/bhab356.
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.
神经影像学证据表明双相情感障碍(BD)存在结构网络层面的异常;然而,由于样本量限制和临床异质性的影响,当前文献中仍存在相互矛盾的结果。在这里,我们进行了一项多中心的图论分析,以评估在一项大型的、具有代表性的双相情感障碍个体研究中神经解剖学连接不良的程度。这项横断面的、多中心的国际研究评估了来自 109 名 1 型双相情感障碍患者和 103 名精神健康志愿者的结构和弥散加权磁共振成像数据。全脑指标、基于置换的统计和高连通节点的连通性被用于比较双相情感障碍患者与对照组之间的网络水平连接模式。与健康对照组相比,BD 组的特征路径长度更长,左额颞叶网络连接较弱,丰富俱乐部连接不良增加。我们的多中心研究结果表明,情绪和奖励网络的连接不良与双相情感障碍有关,这可能指导更大规模的全球努力,以了解人类大脑结构如何影响双相情感障碍的情绪调节。