PMID- 33101173 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20201028 IS - 1664-2295 (Print) IS - 1664-2295 (Electronic) IS - 1664-2295 (Linking) VI - 11 DP - 2020 TI - Changes in Brain Function Networks in Patients With Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study. PG - 554032 LID - 10.3389/fneur.2020.554032 [doi] LID - 554032 AB - Patients with amnestic mild cognitive impairment (aMCI) are at high risk of developing dementia. This study used resting-state functional magnetic resonance imaging (rs-fMRI) and an independent component analysis (ICA) approach to explore changes in functional connectivity (FC) in the default mode network (DMN), executive control network (ECN), and salience network (SN). Thirty patients with aMCI and 30 healthy controls (HCs) were enrolled. All the participants underwent an rs-fMRI scan. The brain FC in DMN, ECN, and SN was calculated using the ICA approach. We found that the FC of brain regions in DMN decreased significantly and that of brain regions in ECN increased, which was in accordance with the findings of previous studies on Alzheimer's disease (AD) and aMCI. We also found that the FC of brain regions in SN increased, which was different from the findings of previous studies on AD. The increase in FC in brain regions in SN might result from different pathophysiological states in AD and aMCI, indicating that a decrease in FC in SN does not occur in a person with aMCI. These results are consistent with those of previous studies using the voxel-mirrored homotopic connectivity approach and seed-based correlation analysis. We therefore considered that the decrease in FC in DMN and the increase in FC in ECN and SN might be peculiar patterns observed on the rs-fMRI of a person with aMCI. These findings may contribute to the development of imaging biomarkers for the diagnosis of aMCI. CI - Copyright (c) 2020 Li, Wang, Liu, Cao, Cai, Jiang, Yang, Yang and Asakawa. FAU - Li, Xiaoling AU - Li X AD - First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China. FAU - Wang, Feng AU - Wang F AD - First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China. AD - Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China. FAU - Liu, Xiaohui AU - Liu X AD - Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China. FAU - Cao, Danna AU - Cao D AD - First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China. AD - Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China. FAU - Cai, Lina AU - Cai L AD - Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China. FAU - Jiang, Xiaoxu AU - Jiang X AD - Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China. FAU - Yang, Xu AU - Yang X AD - Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China. FAU - Yang, Tiansong AU - Yang T AD - First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China. FAU - Asakawa, Tetsuya AU - Asakawa T AD - Department of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu, Japan. AD - Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou, China. LA - eng PT - Journal Article DEP - 20200930 PL - Switzerland TA - Front Neurol JT - Frontiers in neurology JID - 101546899 PMC - PMC7554345 OTO - NOTNLM OT - amnestic mild cognitive impairment OT - default mode network OT - executive control network OT - functional connectivity OT - resting-state functional magnetic resonance imaging OT - salience network EDAT- 2020/10/27 06:00 MHDA- 2020/10/27 06:01 PMCR- 2020/09/30 CRDT- 2020/10/26 05:21 PHST- 2020/04/21 00:00 [received] PHST- 2020/09/02 00:00 [accepted] PHST- 2020/10/26 05:21 [entrez] PHST- 2020/10/27 06:00 [pubmed] PHST- 2020/10/27 06:01 [medline] PHST- 2020/09/30 00:00 [pmc-release] AID - 10.3389/fneur.2020.554032 [doi] PST - epublish SO - Front Neurol. 2020 Sep 30;11:554032. doi: 10.3389/fneur.2020.554032. eCollection 2020.