| Literature DB >> 33825444 |
Chen Xue1, Haiting Sun2, Yingying Yue3, Siyu Wang4, Wenzhang Qi1, Guanjie Hu4, Honglin Ge4, Qianqian Yuan1, Jiang Rao5, Lei Tian1, Chaoyong Xiao1,4, Jiu Chen4,6.
Abstract
Salience network (SN), playing a vital role in advanced cognitive function, is regarded to be impaired in subjective cognitive decline (SCD) and amnestic mild cognitive impairment (aMCI). The purpose of the study was to explore the importance of structural and functional features of SN in the diagnosis of SCD and aMCI. Structural and resting-state functional magnetic resonance imaging were collected from SCD, aMCI, and healthy control (HC). Cortex thickness, gray matter (GM) volume, spontaneous brain activity, functional connectivity (FC) within SN, and its relationship with cognitive function were analyzed. Moreover, the receiver operating characteristic analysis was performed to assess diagnostic efficacy of altered indictors for SCD and aMCI. Compared to HC, both SCD and aMCI showed decreased GM volume, decreased spontaneous brain activity, and increased FC within SN, while aMCI showed additional decreased cortex thickness. Furthermore, the altered FC in SCD and aMCI was significantly correlated with cognitive function. Particularly, the best-fitting classification models of SCD and aMCI were based on the combined multiple indicators. In conclusion, structure and function of SN were disrupted in SCD and aMCI, which involved in cognitive decline. The combined multiple indicators of SN provided powerful biomarkers for the diagnosis of SCD and aMCI.Entities:
Keywords: amnestic mild cognitive impairment; resting state functional magnetic resonance imaging; salience network; structural magnetic resonance imaging; subjective cognitive decline
Year: 2021 PMID: 33825444 DOI: 10.1021/acschemneuro.1c00051
Source DB: PubMed Journal: ACS Chem Neurosci ISSN: 1948-7193 Impact factor: 4.418