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Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease
OBJECTIVE: In vivo functional changes in white matter during the progression of Alzheimer’s disease (AD) have not been previously reported. Our objectives are to measure changes in white matter functional connectivity (FC) in an elderly population undergoing cognitive decline as AD develops, to esta...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567362/ https://www.ncbi.nlm.nih.gov/pubmed/33064765 http://dx.doi.org/10.1371/journal.pone.0240513 |
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author | Gao, Yurui Sengupta, Anirban Li, Muwei Zu, Zhongliang Rogers, Baxter P. Anderson, Adam W. Ding, Zhaohua Gore, John C. |
author_facet | Gao, Yurui Sengupta, Anirban Li, Muwei Zu, Zhongliang Rogers, Baxter P. Anderson, Adam W. Ding, Zhaohua Gore, John C. |
author_sort | Gao, Yurui |
collection | PubMed |
description | OBJECTIVE: In vivo functional changes in white matter during the progression of Alzheimer’s disease (AD) have not been previously reported. Our objectives are to measure changes in white matter functional connectivity (FC) in an elderly population undergoing cognitive decline as AD develops, to establish their relationship to neuropsychological scores of cognitive abilities, and to assess the performance in prediction of AD using white matter FC measures as features. METHODS: Analyses were conducted using resting state functional MRI and neuropsychological data from 383 ADNI participants, including 136 cognitive normal (CN) controls, 46 with significant memory concern, 83 with early mild cognitive impairment (MCI), 37 with MCI, 46 with late MCI, and 35 with AD dementia. FC metrics between segregated white matter tracts and discrete gray matter volumes or between white matter tracts were quantitatively analyzed and characterized, along with their relationships to 6 cognitive measures. Finally, supervised machine learning was implemented on white matter FCs to classify the participants and performance of the classification was evaluated. RESULTS: Significant decreases in FC measures were found in white matter with prominent, specific, regional deficits appearing in late MCI and AD dementia patients from CN. These changes significantly correlated with neuropsychological measurements of impairments in cognition and memory. The sensitivity and specificity of distinguishing AD dementia and CN using white matter FCs were 0.83 and 0.81 respectively. CONCLUSIONS AND RELEVANCE: The white matter FC decreased in late MCI and AD dementia patients compared to CN participants, and this decrease was correlated with cognitive measures. White matter FC is valuable in the prediction of AD. All these findings suggest that white matter FC may be a promising avenue for understanding functional impairments in white matter tracts during AD progression. |
format | Online Article Text |
id | pubmed-7567362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75673622020-10-21 Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease Gao, Yurui Sengupta, Anirban Li, Muwei Zu, Zhongliang Rogers, Baxter P. Anderson, Adam W. Ding, Zhaohua Gore, John C. PLoS One Research Article OBJECTIVE: In vivo functional changes in white matter during the progression of Alzheimer’s disease (AD) have not been previously reported. Our objectives are to measure changes in white matter functional connectivity (FC) in an elderly population undergoing cognitive decline as AD develops, to establish their relationship to neuropsychological scores of cognitive abilities, and to assess the performance in prediction of AD using white matter FC measures as features. METHODS: Analyses were conducted using resting state functional MRI and neuropsychological data from 383 ADNI participants, including 136 cognitive normal (CN) controls, 46 with significant memory concern, 83 with early mild cognitive impairment (MCI), 37 with MCI, 46 with late MCI, and 35 with AD dementia. FC metrics between segregated white matter tracts and discrete gray matter volumes or between white matter tracts were quantitatively analyzed and characterized, along with their relationships to 6 cognitive measures. Finally, supervised machine learning was implemented on white matter FCs to classify the participants and performance of the classification was evaluated. RESULTS: Significant decreases in FC measures were found in white matter with prominent, specific, regional deficits appearing in late MCI and AD dementia patients from CN. These changes significantly correlated with neuropsychological measurements of impairments in cognition and memory. The sensitivity and specificity of distinguishing AD dementia and CN using white matter FCs were 0.83 and 0.81 respectively. CONCLUSIONS AND RELEVANCE: The white matter FC decreased in late MCI and AD dementia patients compared to CN participants, and this decrease was correlated with cognitive measures. White matter FC is valuable in the prediction of AD. All these findings suggest that white matter FC may be a promising avenue for understanding functional impairments in white matter tracts during AD progression. Public Library of Science 2020-10-16 /pmc/articles/PMC7567362/ /pubmed/33064765 http://dx.doi.org/10.1371/journal.pone.0240513 Text en © 2020 Gao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gao, Yurui Sengupta, Anirban Li, Muwei Zu, Zhongliang Rogers, Baxter P. Anderson, Adam W. Ding, Zhaohua Gore, John C. Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease |
title | Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease |
title_full | Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease |
title_fullStr | Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease |
title_full_unstemmed | Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease |
title_short | Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease |
title_sort | functional connectivity of white matter as a biomarker of cognitive decline in alzheimer’s disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567362/ https://www.ncbi.nlm.nih.gov/pubmed/33064765 http://dx.doi.org/10.1371/journal.pone.0240513 |
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