2022/02/14 by Yu Fu, Fu, Yu, Yanyan Huang +13
Biochemistry, Genetics and Molecular Biology · Medicine · Neuroscience · Psychology · #Advanced Neuroimaging Techniques and Applications #FOS: Biological sciences #Functional Brain Connectivity Studies #Mental Health Research Topics #Neurons and Cognition (q-bio.NC) #q-bio.NC
paper · pdf · doi:10.48550/arxiv.2202.12709
arxiv created 2022/02/14 · openalex publication_date 2022/02/14 · arxiv updated 2022/02/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.