Cognitive Reserve Disrupts Cognitive Decline from White Matter Hyperintensities

Previous research examining the contribution of white matter hyperintensities (WMHs) to cognitive decline has focused on overall lesion burden. A new approach, afforded by the Lesion Quantification Toolkit (LQT), measures localized connectivity disruption from WMHs to better estimate their impact on cognition. This methodology shifts the focus from lesion volume to the level of network disruption between brain regions. In this novel study, we applied the LQT approach to healthy aging and linked the degree of disconnection of gray matter by WMHs to both cognitive impairment and resilience via cognitive reserve. Using three pre-existing MRI datasets of older adults (total N = 259), we used the LQT to examine localized disruptions to brain connectivity due to WMHs. We then used partial least-squares path modeling to examine the relationships between this disruption, cognitive performance, age, and cognitive reserve. The results support a link between connectivity disruption and reduced cognitive performance. An analysis of one of the three datasets, which included a detailed measure of cognitive reserve, showed a link between cognitive reserve and higher cognitive performance, suggesting cognitive reserve offsets the negative impact of WMHs.

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Publication Details

Published
2025-08-15
DOI
https://doi.org/10.31219/osf.io/k24m6_v1
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
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article

Cognitive Reserve Disrupts Cognitive Decline from White Matter Hyperintensities

John G. Grundy, John A. E. Anderson, Ellen Bialystok, Mahsa Dadar et al.
1 links
Neuroinflammation and Neurodegeneration Mechanisms
article

Cognitive Reserve Disrupts Cognitive Decline from White Matter Hyperintensities

John G. Grundy, John A. E. Anderson, Ellen Bialystok, Mahsa Dadar, Arthur Hamilton, Cassandra Morrison, Kaiah N. Sotebeer, Katherine Chadwick
article en

Abstract

Previous research examining the contribution of white matter hyperintensities (WMHs) to cognitive decline has focused on overall lesion burden. A new approach, afforded by the Lesion Quantification Toolkit (LQT), measures localized connectivity disruption from WMHs to better estimate their impact on cognition. This methodology shifts the focus from lesion volume to the level of network disruption between brain regions. In this novel study, we applied the LQT approach to healthy aging and linked the degree of disconnection of gray matter by WMHs to both cognitive impairment and resilience via cognitive reserve. Using three pre-existing MRI datasets of older adults (total N = 259), we used the LQT to examine localized disruptions to brain connectivity due to WMHs. We then used partial least-squares path modeling to examine the relationships between this disruption, cognitive performance, age, and cognitive reserve. The results support a link between connectivity disruption and reduced cognitive performance. An analysis of one of the three datasets, which included a detailed measure of cognitive reserve, showed a link between cognitive reserve and higher cognitive performance, suggesting cognitive reserve offsets the negative impact of WMHs.

U.S. Department of Defense, Alzheimer's Association, Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, Biogen, University of Southern California, Meso Scale Diagnostics, Alzheimer's Disease Neuroimaging Initiative, BioClinica, Novartis Pharmaceuticals Corporation, Northern California Institute for Research and Education, Eisai, Servier, H. Lundbeck A/S, IXICO, National Institutes of Health, Genentech, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Japan Atomic Energy Agency
Openalex Percentile: Top 73%
Neuroinflammation and Neurodegeneration Mechanisms
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