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Race modifies default mode connectivity in Alzheimer’s disease
BACKGROUND: Older African Americans are more likely to develop Alzheimer’s disease (AD) than older Caucasians, and this difference cannot be readily explained by cerebrovascular and socioeconomic factors alone. We previously showed that mild cognitive impairment and AD dementia were associated with...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029517/ https://www.ncbi.nlm.nih.gov/pubmed/32099645 http://dx.doi.org/10.1186/s40035-020-0186-4 |
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author | Misiura, Maria B. Howell, J. Christina Wu, Junjie Qiu, Deqiang Parker, Monica W. Turner, Jessica A. Hu, William T. |
author_facet | Misiura, Maria B. Howell, J. Christina Wu, Junjie Qiu, Deqiang Parker, Monica W. Turner, Jessica A. Hu, William T. |
author_sort | Misiura, Maria B. |
collection | PubMed |
description | BACKGROUND: Older African Americans are more likely to develop Alzheimer’s disease (AD) than older Caucasians, and this difference cannot be readily explained by cerebrovascular and socioeconomic factors alone. We previously showed that mild cognitive impairment and AD dementia were associated with attenuated increases in the cerebrospinal fluid (CSF) levels of total and phosphorylated tau in African Americans compared to Caucasians, even though there was no difference in beta-amyloid 1–42 level between the two races. METHODS: We extended our work by analyzing early functional magnetic resonance imaging (fMRI) biomarkers of the default mode network in older African Americans and Caucasians. We calculated connectivity between nodes of the regions belonging to the various default mode network subsystems and correlated these imaging biomarkers with non-imaging biomarkers implicated in AD (CSF amyloid, total tau, and cognitive performance). RESULTS: We found that race modifies the relationship between functional connectivity of default mode network subsystems and cognitive performance, tau, and amyloid levels. CONCLUSION: These findings provide further support that race modifies the AD phenotypes downstream from cerebral amyloid deposition, and identifies key inter-subsystem connections for deep imaging and neuropathologic characterization. |
format | Online Article Text |
id | pubmed-7029517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70295172020-02-25 Race modifies default mode connectivity in Alzheimer’s disease Misiura, Maria B. Howell, J. Christina Wu, Junjie Qiu, Deqiang Parker, Monica W. Turner, Jessica A. Hu, William T. Transl Neurodegener Research BACKGROUND: Older African Americans are more likely to develop Alzheimer’s disease (AD) than older Caucasians, and this difference cannot be readily explained by cerebrovascular and socioeconomic factors alone. We previously showed that mild cognitive impairment and AD dementia were associated with attenuated increases in the cerebrospinal fluid (CSF) levels of total and phosphorylated tau in African Americans compared to Caucasians, even though there was no difference in beta-amyloid 1–42 level between the two races. METHODS: We extended our work by analyzing early functional magnetic resonance imaging (fMRI) biomarkers of the default mode network in older African Americans and Caucasians. We calculated connectivity between nodes of the regions belonging to the various default mode network subsystems and correlated these imaging biomarkers with non-imaging biomarkers implicated in AD (CSF amyloid, total tau, and cognitive performance). RESULTS: We found that race modifies the relationship between functional connectivity of default mode network subsystems and cognitive performance, tau, and amyloid levels. CONCLUSION: These findings provide further support that race modifies the AD phenotypes downstream from cerebral amyloid deposition, and identifies key inter-subsystem connections for deep imaging and neuropathologic characterization. BioMed Central 2020-02-19 /pmc/articles/PMC7029517/ /pubmed/32099645 http://dx.doi.org/10.1186/s40035-020-0186-4 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Misiura, Maria B. Howell, J. Christina Wu, Junjie Qiu, Deqiang Parker, Monica W. Turner, Jessica A. Hu, William T. Race modifies default mode connectivity in Alzheimer’s disease |
title | Race modifies default mode connectivity in Alzheimer’s disease |
title_full | Race modifies default mode connectivity in Alzheimer’s disease |
title_fullStr | Race modifies default mode connectivity in Alzheimer’s disease |
title_full_unstemmed | Race modifies default mode connectivity in Alzheimer’s disease |
title_short | Race modifies default mode connectivity in Alzheimer’s disease |
title_sort | race modifies default mode connectivity in alzheimer’s disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029517/ https://www.ncbi.nlm.nih.gov/pubmed/32099645 http://dx.doi.org/10.1186/s40035-020-0186-4 |
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