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Metabolic syndrome‐related cognitive impairment with white matter hyperintensities and functional network analysis.

Authors :
Zheng, Wenhui
Zhou, Xia
Yin, Jiabin
Liu, Han
Yin, Wenwen
Zhang, Wei
Zhu, Xiaoqun
Sun, Zhongwu
Source :
Obesity (19307381); Oct2023, Vol. 31 Issue 10, p2557-2567, 11p
Publication Year :
2023

Abstract

Objective: This study aimed to explore the relationship between white matter hyperintensities (WMHs) and cognitive impairment related to metabolic syndrome (MetS) and the underlying neural network mechanisms. Methods: This cross‐sectional study included 50 participants with MetS and WMHs (MetS‐WMHs), 45 with MetS without WMHs, and 50 control participants. All participants underwent resting‐state functional magnetic resonance imaging and a detailed cognitive evaluation. A graph theory analysis based on resting‐state functional magnetic resonance imaging was conducted to calculate functional network properties. A mediation analysis was conducted to determine the relationship between WMHs and MetS‐related cognitive impairment. Results: Compared with the control group, the participants in the MetS‐WMHs group displayed lower global efficiency, local efficiency, and nodal efficiency, mainly located in the regions of the salience network. Furthermore, a significant correlation was observed between functional network efficiency and cognitive performance. Mediation analysis indicated that WMHs served as a mediating variable between MetS and cognitive decline, affecting attention/executive function, language, and global cognitive function. Conclusions: WMHs mediated the association between MetS and cognitive function, with a decline in the efficiency of functional brain networks being a probable neural mechanism. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19307381
Volume :
31
Issue :
10
Database :
Complementary Index
Journal :
Obesity (19307381)
Publication Type :
Academic Journal
Accession number :
172022352
Full Text :
https://doi.org/10.1002/oby.23873