Baseline grey matter volumes and white matter hyperintensities predict decline in functional activities in older adults over a 5-year follow-up period

Introduction: Functional independence is an essential predictor of quality of life in aging, yet few accessible predictors of functional decline have been identified. This study examined associations between baseline structural neuroimaging markers and longitudinal functional status. Methods: Linear...

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Main Authors: Corey J. Bolton, Omair A. Khan, Elizabeth E. Moore, Kimberly R. Pechman, L. Taylor Davis, Dandan Liu, Bennett A. Landman, Katherine A. Gifford, Timothy J. Hohman, Angela L. Jefferson
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:NeuroImage: Clinical
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158223000827
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author Corey J. Bolton
Omair A. Khan
Elizabeth E. Moore
Kimberly R. Pechman
L. Taylor Davis
Dandan Liu
Bennett A. Landman
Katherine A. Gifford
Timothy J. Hohman
Angela L. Jefferson
author_facet Corey J. Bolton
Omair A. Khan
Elizabeth E. Moore
Kimberly R. Pechman
L. Taylor Davis
Dandan Liu
Bennett A. Landman
Katherine A. Gifford
Timothy J. Hohman
Angela L. Jefferson
author_sort Corey J. Bolton
collection DOAJ
description Introduction: Functional independence is an essential predictor of quality of life in aging, yet few accessible predictors of functional decline have been identified. This study examined associations between baseline structural neuroimaging markers and longitudinal functional status. Methods: Linear mixed effects models with follow-up time interaction terms related baseline grey matter volume and white matter hyperintensities (WMHs) to functional trajectory, adjusting for demographic and medical covariates. Subsequent models assessed interactions with cognitive status and apolipoprotein E (APOE) ε4 status. Results: Smaller baseline grey matter volumes, particularly in regions commonly affected by Alzheimer’s disease (AD), and greater baseline WMHs were associated with faster functional decline over a mean 5-year follow-up. Effects were stronger in APOE-ε4 carriers on grey matter variables. Cognitive status interacted with most MRI variables. Discussion: Greater atrophy in AD-related regions and higher WMH burden at study entry were associated with faster functional decline, particularly among participants at increased risk of AD.
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spelling doaj.art-ff2d236c6b894e25ab7ee1af6a34ea482023-06-15T04:55:49ZengElsevierNeuroImage: Clinical2213-15822023-01-0138103393Baseline grey matter volumes and white matter hyperintensities predict decline in functional activities in older adults over a 5-year follow-up periodCorey J. Bolton0Omair A. Khan1Elizabeth E. Moore2Kimberly R. Pechman3L. Taylor Davis4Dandan Liu5Bennett A. Landman6Katherine A. Gifford7Timothy J. Hohman8Angela L. Jefferson9Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USAVanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USAVanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USAVanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USAVanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USAVanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USAVanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USAVanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USAVanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USAVanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Corresponding author at: Vanderbilt Memory and Alzheimer’s Center, 1207 17th Avenue South, Suite 204, Nashville, TN 37212.Introduction: Functional independence is an essential predictor of quality of life in aging, yet few accessible predictors of functional decline have been identified. This study examined associations between baseline structural neuroimaging markers and longitudinal functional status. Methods: Linear mixed effects models with follow-up time interaction terms related baseline grey matter volume and white matter hyperintensities (WMHs) to functional trajectory, adjusting for demographic and medical covariates. Subsequent models assessed interactions with cognitive status and apolipoprotein E (APOE) ε4 status. Results: Smaller baseline grey matter volumes, particularly in regions commonly affected by Alzheimer’s disease (AD), and greater baseline WMHs were associated with faster functional decline over a mean 5-year follow-up. Effects were stronger in APOE-ε4 carriers on grey matter variables. Cognitive status interacted with most MRI variables. Discussion: Greater atrophy in AD-related regions and higher WMH burden at study entry were associated with faster functional decline, particularly among participants at increased risk of AD.http://www.sciencedirect.com/science/article/pii/S2213158223000827Alzheimer’s diseaseNeuroimagingBrain MRIFunctional declineActivities of daily livingWhite matter hyperintensities
spellingShingle Corey J. Bolton
Omair A. Khan
Elizabeth E. Moore
Kimberly R. Pechman
L. Taylor Davis
Dandan Liu
Bennett A. Landman
Katherine A. Gifford
Timothy J. Hohman
Angela L. Jefferson
Baseline grey matter volumes and white matter hyperintensities predict decline in functional activities in older adults over a 5-year follow-up period
NeuroImage: Clinical
Alzheimer’s disease
Neuroimaging
Brain MRI
Functional decline
Activities of daily living
White matter hyperintensities
title Baseline grey matter volumes and white matter hyperintensities predict decline in functional activities in older adults over a 5-year follow-up period
title_full Baseline grey matter volumes and white matter hyperintensities predict decline in functional activities in older adults over a 5-year follow-up period
title_fullStr Baseline grey matter volumes and white matter hyperintensities predict decline in functional activities in older adults over a 5-year follow-up period
title_full_unstemmed Baseline grey matter volumes and white matter hyperintensities predict decline in functional activities in older adults over a 5-year follow-up period
title_short Baseline grey matter volumes and white matter hyperintensities predict decline in functional activities in older adults over a 5-year follow-up period
title_sort baseline grey matter volumes and white matter hyperintensities predict decline in functional activities in older adults over a 5 year follow up period
topic Alzheimer’s disease
Neuroimaging
Brain MRI
Functional decline
Activities of daily living
White matter hyperintensities
url http://www.sciencedirect.com/science/article/pii/S2213158223000827
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