Active Index: An Integrated Index to Reveal Disrupted Brain Network Organizations of Major Depressive Disorder Patients

Yu Fu, Yanyan Huang, Meng Niu, Le Xue, Shunjie Dong, Shunlin Guo, J. Lei, Cheng Zhuo
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引用次数: 2

Abstract

Altered functional brain networks have been a typical manifestation that distinguishes major depressive disorder (MDD) patients from healthy control (HC) subjects in functional magnetic resonance imaging (fMRI) studies. Recently, rich club and diverse club metrics have been proposed for network or network neuroscience analyses. The rich club defines a set of nodes that tend to be the hubs of specific communities, and the diverse club defines the nodes that span more communities and have edges diversely distributed across different communities. Considering the heterogeneity of rich clubs and diverse clubs, combining them and on the basis to derive a novel indicator may reveal new evidence of brain functional integration and separation, which might provide new insights into MDD. This study for the first time discussed the differences between MDD and HC using both rich club and diverse club metrics and found the complementarity of them in analyzing brain networks. Besides, a novel index, termed "active index", has been proposed in this study. The active index defines a group of nodes that tend to be diversely distributed across communities while avoiding being a hub of a community. Experimental results demonstrate the superiority of active index in analyzing MDD brain mechanisms.
活跃指数:揭示重度抑郁症患者脑网络组织紊乱的综合指数
在功能磁共振成像(fMRI)研究中,脑功能网络改变是区分重度抑郁症(MDD)患者与健康对照组(HC)的典型表现。最近,网络或网络神经科学分析提出了丰富的俱乐部和多样化的俱乐部指标。富裕的俱乐部定义了一组节点,这些节点往往是特定社区的中心,而多元化的俱乐部定义了跨越更多社区的节点,这些节点的边缘分布在不同的社区。考虑到丰富俱乐部和多样化俱乐部的异质性,将它们结合起来,并在此基础上得出一个新的指标,可能会揭示大脑功能整合和分离的新证据,这可能会为MDD的研究提供新的见解。本研究首次使用丰富俱乐部和多样化俱乐部指标讨论了MDD和HC之间的差异,并发现它们在分析大脑网络时具有互补性。此外,本研究还提出了一种新的指标——“活跃指数”。活动索引定义了一组节点,这些节点往往分布在不同的社区中,同时避免成为社区的中心。实验结果表明,活跃指数在分析重度抑郁症脑机制方面具有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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