Tracking White Matter Integrity in WMH Growth and Regression: A Longitudinal Study Using a Validated WMH Imaging Approach

These findings highlight the heterogeneous nature of WM microstructural alterations. The WMH growth/regression pipeline enables a refined assessment of white matter integrity beyond traditional volumetric measures. This approach holds promise as a novel neuroimaging biomarker for cerebrovascular disease and Alzheimer's disease, providing valuable insights into white matter damage reversibility and its implications for cognitive decline. Future studies should explore longitudinal FA trajectories to further characterize white matter pathophysiology in aging and neurodegenerative conditions.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70862_110287
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Tracking White Matter Integrity in WMH Growth and Regression: A Longitudinal Study Using a Validated WMH Imaging Approach

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Alzheimer s & Dementia
Advanced Neuroimaging Techniques and Applications
article

Tracking White Matter Integrity in WMH Growth and Regression: A Longitudinal Study Using a Validated WMH Imaging Approach

Moaz Ibrahim, Gregory A. Jicha, Larry B. Goldstein, Michael Tyler Jessup, Ahmed A Bahrani, David K Powell, Linda Jo Van Eldik
article en

Abstract

These findings highlight the heterogeneous nature of WM microstructural alterations. The WMH growth/regression pipeline enables a refined assessment of white matter integrity beyond traditional volumetric measures. This approach holds promise as a novel neuroimaging biomarker for cerebrovascular disease and Alzheimer's disease, providing valuable insights into white matter damage reversibility and its implications for cognitive decline. Future studies should explore longitudinal FA trajectories to further characterize white matter pathophysiology in aging and neurodegenerative conditions.

Alzheimer s & DementiaVol. 21(S8)
University of Kentucky (US)
Openalex Percentile: Top 31%
Advanced Neuroimaging Techniques and Applications
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