Characterizing Periventricular and Deep WMH in Aging Using Advanced Diffusion MRI for Tract-Based Insights

Motivation: This study aims to characterize the biophysical properties of white matter hyperintensities (WMH) using advanced diffusion MRI, as current clinical assessments are limited by labor-intensive visual inspection. Goal(s): Our goal is to differentiate the biophysical tissue properties of periventricular and deep WMH to better understand their distinct characteristics. Approach: We applied advanced diffusion MRI modeling, machine learning, and free-water eliminated tractography to FLAIR and diffusion MRI from 360 participants, using segmentation and tract-based analysis. Results: We identified distinct diffusion metric patterns for periventricular and deep WMH, with tractography showing diffuse periventricular WMH and localized deep WMH in association tracts. Impact: This study differentiates periventricular and deep WMH using advanced diffusion MRI, allowing more precise characterization and localization of WMH subtypes beyond visual inspection. This work could inform future research on tract-specific WMH-related cognitive impairments in aging.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/3782
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Characterizing Periventricular and Deep WMH in Aging Using Advanced Diffusion MRI for Tract-Based Insights

Jalal B. Andre, Nina LaPiana, Bradley H. Howlett, Kelly Chang et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced Neuroimaging Techniques and Applications
article

Characterizing Periventricular and Deep WMH in Aging Using Advanced Diffusion MRI for Tract-Based Insights

Jalal B. Andre, Nina LaPiana, Bradley H. Howlett, Kelly Chang, David Hunt, Ariel Rokem, Margaret DeZelar, Patti Curl, Luke Burke, James D. Ralston, Christine Mac Donald
article en

Abstract

Motivation: This study aims to characterize the biophysical properties of white matter hyperintensities (WMH) using advanced diffusion MRI, as current clinical assessments are limited by labor-intensive visual inspection. Goal(s): Our goal is to differentiate the biophysical tissue properties of periventricular and deep WMH to better understand their distinct characteristics. Approach: We applied advanced diffusion MRI modeling, machine learning, and free-water eliminated tractography to FLAIR and diffusion MRI from 360 participants, using segmentation and tract-based analysis. Results: We identified distinct diffusion metric patterns for periventricular and deep WMH, with tractography showing diffuse periventricular WMH and localized deep WMH in association tracts. Impact: This study differentiates periventricular and deep WMH using advanced diffusion MRI, allowing more precise characterization and localization of WMH subtypes beyond visual inspection. This work could inform future research on tract-specific WMH-related cognitive impairments in aging.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 63%
Advanced Neuroimaging Techniques and Applications
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Characterizing Periventricular and Deep WMH in Aging Using Advanced Diffusion MRI for Tract-Based Insights — Jalal B. Andre, Nina LaPiana, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS