Abstract #4929

Analysis of Dynamic Network Reconfiguration in First-Episode, Drug-Naive Patients with Major Depressive Disorder Based Multilayer Network

Yingying Wang¹, Mengyue Tang¹, Zilin Zhou¹, Yingxue Gao¹, Linxiao Cao¹, Hailong Li¹, Xinyue Hu¹, Weijie Bao¹, Kaili Liang¹, Lianqing Zhang¹, Weihong Kuang², Qiyong Gong¹, and Xiaoqi Huang¹

¹Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China., Chengdu, China, ²Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China

Synopsis

Keywords: Psychiatric Disorders, NeuroWe collected resting-state fMRI data from 115 patients with major depressive disorder (MDD) and 120 healthy controls (HC). The GenLouvain community detection algorithm was performed to identify the temporal evolution of community in the multilayer network. Recruitment and integration coefficients were calculated according to the module allegiance matrix to quantify the dynamic characteristic of a node within each of the networks. We found aberrant recruitment and integration coefficients in MDD patients and their significant correlations with clinical scores, and such abnormally dynamic network reconfiguration provides a new perspective to explain the neurobiological characteristics of MDD patients.

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