Literature DB >> 34240115

Obese Individuals Show Disrupted Dynamic Functional Connectivity between Basal Ganglia and Salience Networks.

Zongxin Tan1, Guanya Li1, Wenchao Zhang1, Jia Wang1, Yang Hu1, Hao Li1, Lei Zhang1, Shuai Lv1, Zhenzhen Jia1, Xiaohua Li2, Yu Han3, Guangbin Cui3, Peter Manza4, Nora D Volkow4, Yongzhan Nie2, Gang Ji2, Gene-Jack Wang4, Yi Zhang1.   

Abstract

Previous functional magnetic resonance imaging (fMRI) studies have showed obesity (OB)-related alterations in intrinsic functional connectivity (FC) within and between different resting-state networks (RSNs). However, few studies have examined dynamic functional connectivity (DFC). Thus, we employed resting-state fMRI with independent component analysis (ICA) and DFC analysis to investigate the alterations in FC within and between RSNs in 56 individuals with OB and 46 normal-weight (NW) controls. ICA identified six RSNs, including basal ganglia (BG), salience network (SN), right executive control network/left executive control network, and anterior default-mode network (aDMN)/posterior default-mode network. The DFC analysis identified four FC states. OB compared with NW had more occurrences and a longer mean dwell time (MDT) in state 2 (positive connectivity of BG with other RSN) and also had higher FC of BG-SN in other states. Body mass index was positively correlated with MDT and FCs of BG-aDMN (state 2) and BG-SN (state 4). DFC analysis within more refined nodes of RSNs showed that OB had more occurrences and a longer MDT in state 1 in which caudate had positive connections with the other network nodes. The findings suggest an association between caudate-related and BG-related positive FC in OB, which was not revealed by traditional FC analysis, highlighting the utility of adding DFC to the more conventional methods. Published by Oxford University Press 2021.

Entities:  

Keywords:  basal ganglia; dynamic functional connectivity; obesity; resting-state networks; salience network

Mesh:

Year:  2021        PMID: 34240115      PMCID: PMC8652239          DOI: 10.1093/cercor/bhab190

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


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