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Associations of Regional Brain Structural Differences With Aging, Modifiable Risk Factors for Dementia, and Cognitive Performance

IMPORTANCE: Identifying brain regions associated with risk factors for dementia could guide mechanistic understanding of risk factors associated with Alzheimer disease (AD). OBJECTIVES: To characterize volume changes in brain regions associated with aging and modifiable risk factors for dementia (MR...

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Autores principales: Suzuki, Hideaki, Venkataraman, Ashwin V., Bai, Wenjia, Guitton, Florian, Guo, Yike, Dehghan, Abbas, Matthews, Paul M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6991214/
https://www.ncbi.nlm.nih.gov/pubmed/31825506
http://dx.doi.org/10.1001/jamanetworkopen.2019.17257
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author Suzuki, Hideaki
Venkataraman, Ashwin V.
Bai, Wenjia
Guitton, Florian
Guo, Yike
Dehghan, Abbas
Matthews, Paul M.
author_facet Suzuki, Hideaki
Venkataraman, Ashwin V.
Bai, Wenjia
Guitton, Florian
Guo, Yike
Dehghan, Abbas
Matthews, Paul M.
author_sort Suzuki, Hideaki
collection PubMed
description IMPORTANCE: Identifying brain regions associated with risk factors for dementia could guide mechanistic understanding of risk factors associated with Alzheimer disease (AD). OBJECTIVES: To characterize volume changes in brain regions associated with aging and modifiable risk factors for dementia (MRFD) and to test whether volume differences in these regions are associated with cognitive performance. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used data from UK Biobank participants who underwent T1-weighted structural brain imaging from August 5, 2014, to October 14, 2016. A voxelwise linear model was applied to test for regional gray matter volume differences associated with aging and MRFD (ie, hypertension, diabetes, obesity, and frequent alcohol use). The potential clinical relevance of these associations was explored by comparing their neuroanatomical distributions with the regional brain atrophy found with AD. Mediation models for risk factors, brain volume differences, and cognitive measures were tested. The primary hypothesis was that common, overlapping regions would be found. Primary analysis was conducted on April 1, 2018. MAIN OUTCOMES AND MEASURES: Gray matter regions that showed relative atrophy associated with AD, aging, and greater numbers of MRFD. RESULTS: Among 8312 participants (mean [SD] age, 62.4 [7.4] years; 3959 [47.1%] men), aging and 4 major MRFD (ie, hypertension, diabetes, obesity, and frequent alcohol use) had independent negative associations with specific gray matter volumes. These regions overlapped neuroanatomically with those showing lower volumes in participants with AD, including the posterior cingulate cortex, the thalamus, the hippocampus, and the orbitofrontal cortex. Associations between these MRFD and spatial memory were mediated by differences in posterior cingulate cortex volume (β = 0.0014; SE = 0.0006; P = .02). CONCLUSIONS AND RELEVANCE: This cross-sectional study identified differences in localized brain gray matter volume associated with aging and MRFD, suggesting regional vulnerabilities. These differences appeared relevant to cognitive performance even among people considered cognitively healthy.
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spelling pubmed-69912142020-02-11 Associations of Regional Brain Structural Differences With Aging, Modifiable Risk Factors for Dementia, and Cognitive Performance Suzuki, Hideaki Venkataraman, Ashwin V. Bai, Wenjia Guitton, Florian Guo, Yike Dehghan, Abbas Matthews, Paul M. JAMA Netw Open Original Investigation IMPORTANCE: Identifying brain regions associated with risk factors for dementia could guide mechanistic understanding of risk factors associated with Alzheimer disease (AD). OBJECTIVES: To characterize volume changes in brain regions associated with aging and modifiable risk factors for dementia (MRFD) and to test whether volume differences in these regions are associated with cognitive performance. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used data from UK Biobank participants who underwent T1-weighted structural brain imaging from August 5, 2014, to October 14, 2016. A voxelwise linear model was applied to test for regional gray matter volume differences associated with aging and MRFD (ie, hypertension, diabetes, obesity, and frequent alcohol use). The potential clinical relevance of these associations was explored by comparing their neuroanatomical distributions with the regional brain atrophy found with AD. Mediation models for risk factors, brain volume differences, and cognitive measures were tested. The primary hypothesis was that common, overlapping regions would be found. Primary analysis was conducted on April 1, 2018. MAIN OUTCOMES AND MEASURES: Gray matter regions that showed relative atrophy associated with AD, aging, and greater numbers of MRFD. RESULTS: Among 8312 participants (mean [SD] age, 62.4 [7.4] years; 3959 [47.1%] men), aging and 4 major MRFD (ie, hypertension, diabetes, obesity, and frequent alcohol use) had independent negative associations with specific gray matter volumes. These regions overlapped neuroanatomically with those showing lower volumes in participants with AD, including the posterior cingulate cortex, the thalamus, the hippocampus, and the orbitofrontal cortex. Associations between these MRFD and spatial memory were mediated by differences in posterior cingulate cortex volume (β = 0.0014; SE = 0.0006; P = .02). CONCLUSIONS AND RELEVANCE: This cross-sectional study identified differences in localized brain gray matter volume associated with aging and MRFD, suggesting regional vulnerabilities. These differences appeared relevant to cognitive performance even among people considered cognitively healthy. American Medical Association 2019-12-11 /pmc/articles/PMC6991214/ /pubmed/31825506 http://dx.doi.org/10.1001/jamanetworkopen.2019.17257 Text en Copyright 2019 Suzuki H et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Suzuki, Hideaki
Venkataraman, Ashwin V.
Bai, Wenjia
Guitton, Florian
Guo, Yike
Dehghan, Abbas
Matthews, Paul M.
Associations of Regional Brain Structural Differences With Aging, Modifiable Risk Factors for Dementia, and Cognitive Performance
title Associations of Regional Brain Structural Differences With Aging, Modifiable Risk Factors for Dementia, and Cognitive Performance
title_full Associations of Regional Brain Structural Differences With Aging, Modifiable Risk Factors for Dementia, and Cognitive Performance
title_fullStr Associations of Regional Brain Structural Differences With Aging, Modifiable Risk Factors for Dementia, and Cognitive Performance
title_full_unstemmed Associations of Regional Brain Structural Differences With Aging, Modifiable Risk Factors for Dementia, and Cognitive Performance
title_short Associations of Regional Brain Structural Differences With Aging, Modifiable Risk Factors for Dementia, and Cognitive Performance
title_sort associations of regional brain structural differences with aging, modifiable risk factors for dementia, and cognitive performance
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6991214/
https://www.ncbi.nlm.nih.gov/pubmed/31825506
http://dx.doi.org/10.1001/jamanetworkopen.2019.17257
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