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Changes in Brain Function Networks in Patients With Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study

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 n...

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Autores principales: Li, Xiaoling, Wang, Feng, Liu, Xiaohui, Cao, Danna, Cai, Lina, Jiang, Xiaoxu, Yang, Xu, Yang, Tiansong, Asakawa, Tetsuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554345/
https://www.ncbi.nlm.nih.gov/pubmed/33101173
http://dx.doi.org/10.3389/fneur.2020.554032
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author Li, Xiaoling
Wang, Feng
Liu, Xiaohui
Cao, Danna
Cai, Lina
Jiang, Xiaoxu
Yang, Xu
Yang, Tiansong
Asakawa, Tetsuya
author_facet Li, Xiaoling
Wang, Feng
Liu, Xiaohui
Cao, Danna
Cai, Lina
Jiang, Xiaoxu
Yang, Xu
Yang, Tiansong
Asakawa, Tetsuya
author_sort Li, Xiaoling
collection PubMed
description 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.
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spelling pubmed-75543452020-10-22 Changes in Brain Function Networks in Patients With Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study Li, Xiaoling Wang, Feng Liu, Xiaohui Cao, Danna Cai, Lina Jiang, Xiaoxu Yang, Xu Yang, Tiansong Asakawa, Tetsuya Front Neurol Neurology 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. Frontiers Media S.A. 2020-09-30 /pmc/articles/PMC7554345/ /pubmed/33101173 http://dx.doi.org/10.3389/fneur.2020.554032 Text en Copyright © 2020 Li, Wang, Liu, Cao, Cai, Jiang, Yang, Yang and Asakawa. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Li, Xiaoling
Wang, Feng
Liu, Xiaohui
Cao, Danna
Cai, Lina
Jiang, Xiaoxu
Yang, Xu
Yang, Tiansong
Asakawa, Tetsuya
Changes in Brain Function Networks in Patients With Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study
title Changes in Brain Function Networks in Patients With Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study
title_full Changes in Brain Function Networks in Patients With Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study
title_fullStr Changes in Brain Function Networks in Patients With Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study
title_full_unstemmed Changes in Brain Function Networks in Patients With Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study
title_short Changes in Brain Function Networks in Patients With Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study
title_sort changes in brain function networks in patients with amnestic mild cognitive impairment: a resting-state fmri study
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554345/
https://www.ncbi.nlm.nih.gov/pubmed/33101173
http://dx.doi.org/10.3389/fneur.2020.554032
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