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Connectome-wide network analysis of white matter connectivity in Alzheimer's disease

A multivariate analytical strategy may pinpoint the structural connectivity patterns associated with Alzheimer's disease (AD) pathology in connectome-wide association studies. Diffusion magnetic resonance imaging data from 161 participants including subjects with healthy controls, AD, stable an...

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Autores principales: Ye, Chenfei, Mori, Susumu, Chan, Piu, Ma, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396432/
https://www.ncbi.nlm.nih.gov/pubmed/30825712
http://dx.doi.org/10.1016/j.nicl.2019.101690
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author Ye, Chenfei
Mori, Susumu
Chan, Piu
Ma, Ting
author_facet Ye, Chenfei
Mori, Susumu
Chan, Piu
Ma, Ting
author_sort Ye, Chenfei
collection PubMed
description A multivariate analytical strategy may pinpoint the structural connectivity patterns associated with Alzheimer's disease (AD) pathology in connectome-wide association studies. Diffusion magnetic resonance imaging data from 161 participants including subjects with healthy controls, AD, stable and converting mild cognitive impairment, were selected for group-wise comparisons. A multivariate distance matrix regression (MDMR) analysis was performed to detect abnormality in brain structural network along with disease progression. Based on the seed regions returned by the MDMR analysis, supervised learning was applied to evaluate the disease predictive performance. Nine brain regions, including the left orbital part of superior and middle frontal gyrus, the bilateral supplementary motor area, the bilateral insula, the left hippocampus, the left putamen, and the left thalamus demonstrated extremely significant structural pattern changes along with the progression of AD. The disease classification was more efficient when based on the key connectivity related to these seed regions than when based on whole-brain structural connectivity. MDMR analysis reveals brain network reorganization caused by AD pathology. The key structural connectivity detected in this study exhibits promising distinguishing capability to predict prodromal AD patients.
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spelling pubmed-63964322019-03-11 Connectome-wide network analysis of white matter connectivity in Alzheimer's disease Ye, Chenfei Mori, Susumu Chan, Piu Ma, Ting Neuroimage Clin Regular Article A multivariate analytical strategy may pinpoint the structural connectivity patterns associated with Alzheimer's disease (AD) pathology in connectome-wide association studies. Diffusion magnetic resonance imaging data from 161 participants including subjects with healthy controls, AD, stable and converting mild cognitive impairment, were selected for group-wise comparisons. A multivariate distance matrix regression (MDMR) analysis was performed to detect abnormality in brain structural network along with disease progression. Based on the seed regions returned by the MDMR analysis, supervised learning was applied to evaluate the disease predictive performance. Nine brain regions, including the left orbital part of superior and middle frontal gyrus, the bilateral supplementary motor area, the bilateral insula, the left hippocampus, the left putamen, and the left thalamus demonstrated extremely significant structural pattern changes along with the progression of AD. The disease classification was more efficient when based on the key connectivity related to these seed regions than when based on whole-brain structural connectivity. MDMR analysis reveals brain network reorganization caused by AD pathology. The key structural connectivity detected in this study exhibits promising distinguishing capability to predict prodromal AD patients. Elsevier 2019-02-21 /pmc/articles/PMC6396432/ /pubmed/30825712 http://dx.doi.org/10.1016/j.nicl.2019.101690 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Ye, Chenfei
Mori, Susumu
Chan, Piu
Ma, Ting
Connectome-wide network analysis of white matter connectivity in Alzheimer's disease
title Connectome-wide network analysis of white matter connectivity in Alzheimer's disease
title_full Connectome-wide network analysis of white matter connectivity in Alzheimer's disease
title_fullStr Connectome-wide network analysis of white matter connectivity in Alzheimer's disease
title_full_unstemmed Connectome-wide network analysis of white matter connectivity in Alzheimer's disease
title_short Connectome-wide network analysis of white matter connectivity in Alzheimer's disease
title_sort connectome-wide network analysis of white matter connectivity in alzheimer's disease
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396432/
https://www.ncbi.nlm.nih.gov/pubmed/30825712
http://dx.doi.org/10.1016/j.nicl.2019.101690
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