Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease.

Alzheimer's disease (AD) is associated with abnormal functioning of the default mode network (DMN). Functional connectivity (FC) changes to the DMN have been found in patients with amnestic mild cognitive impairment (aMCI), which is the prodromal stage of AD. However, whether or not aMCI also a...

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Autores principales:	Rui Li, Jing Yu, Shouzi Zhang, Feng Bao, Pengyun Wang, Xin Huang, Juan Li
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c016892125764b60a62960a5519af663
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spelling	oai:doaj.org-article:c016892125764b60a62960a5519af6632021-11-18T08:43:08ZBayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease.1932-620310.1371/journal.pone.0082104https://doaj.org/article/c016892125764b60a62960a5519af6632013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24324753/?tool=EBIhttps://doaj.org/toc/1932-6203Alzheimer's disease (AD) is associated with abnormal functioning of the default mode network (DMN). Functional connectivity (FC) changes to the DMN have been found in patients with amnestic mild cognitive impairment (aMCI), which is the prodromal stage of AD. However, whether or not aMCI also alters the effective connectivity (EC) of the DMN remains unknown. We employed a combined group independent component analysis (ICA) and Bayesian network (BN) learning approach to resting-state functional MRI (fMRI) data from 17 aMCI patients and 17 controls, in order to establish the EC pattern of DMN, and to evaluate changes occurring in aMCI. BN analysis demonstrated heterogeneous regional convergence degree across DMN regions, which were organized into two closely interacting subsystems. Compared to controls, the aMCI group showed altered directed connectivity weights between DMN regions in the fronto-parietal, temporo-frontal, and temporo-parietal pathways. The aMCI group also exhibited altered regional convergence degree in the right inferior parietal lobule. Moreover, we found EC changes in DMN regions in aMCI were correlated with regional FC levels, and the connectivity metrics were associated with patients' cognitive performance. This study provides novel sights into our understanding of the functional architecture of the DMN and adds to a growing body of work demonstrating the importance of the DMN as a mechanism of aMCI.Rui LiJing YuShouzi ZhangFeng BaoPengyun WangXin HuangJuan LiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 12, p e82104 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rui Li Jing Yu Shouzi Zhang Feng Bao Pengyun Wang Xin Huang Juan Li Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease.
description	Alzheimer's disease (AD) is associated with abnormal functioning of the default mode network (DMN). Functional connectivity (FC) changes to the DMN have been found in patients with amnestic mild cognitive impairment (aMCI), which is the prodromal stage of AD. However, whether or not aMCI also alters the effective connectivity (EC) of the DMN remains unknown. We employed a combined group independent component analysis (ICA) and Bayesian network (BN) learning approach to resting-state functional MRI (fMRI) data from 17 aMCI patients and 17 controls, in order to establish the EC pattern of DMN, and to evaluate changes occurring in aMCI. BN analysis demonstrated heterogeneous regional convergence degree across DMN regions, which were organized into two closely interacting subsystems. Compared to controls, the aMCI group showed altered directed connectivity weights between DMN regions in the fronto-parietal, temporo-frontal, and temporo-parietal pathways. The aMCI group also exhibited altered regional convergence degree in the right inferior parietal lobule. Moreover, we found EC changes in DMN regions in aMCI were correlated with regional FC levels, and the connectivity metrics were associated with patients' cognitive performance. This study provides novel sights into our understanding of the functional architecture of the DMN and adds to a growing body of work demonstrating the importance of the DMN as a mechanism of aMCI.
format	article
author	Rui Li Jing Yu Shouzi Zhang Feng Bao Pengyun Wang Xin Huang Juan Li
author_facet	Rui Li Jing Yu Shouzi Zhang Feng Bao Pengyun Wang Xin Huang Juan Li
author_sort	Rui Li
title	Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease.
title_short	Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease.
title_full	Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease.
title_fullStr	Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease.
title_full_unstemmed	Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease.
title_sort	bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for alzheimer's disease.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/c016892125764b60a62960a5519af663
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Bayesian network analysis reveals alterations to default mode network connectivity in individuals at risk for Alzheimer's disease.

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