| Literature DB >> 34240115 |
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