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Updated: Aug 5, 2026

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Published on: May 19, 2015
White matter hyperintensity load is associated with premature brain aging
Natalie Busby1, Sarah Newman-Norlund1, Sara Sayers1
1Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC 29201, USA.
Background:
Brain age is an MRI-derived estimate of brain tissue loss that has a similar pattern to aging-related atrophy. White matter hyperintensities (WMHs) are neuroimaging markers of small vessel disease and may represent subtle signs of brain compromise. We tested the hypothesis that WMHs are independently associated with premature brain age in an original aging cohort.
Methods:
Brain age was calculated using machine-learning on whole-brain tissue estimates from T1-weighted images using the BrainAgeR analysis pipeline in 166 healthy adult participants. WMHs were manually delineated on FLAIR images. WMH load was defined as the cumulative volume of WMHs. A positive difference between estimated brain age and chronological age (BrainGAP) was used as a measure of premature brain aging. Then, partial Pearson correlations between BrainGAP and volume of WMHs were calculated (accounting for chronological age).
Results:
Brain and chronological age were strongly correlated (r(163)=0.932, p<0.001). There was significant negative correlation between BrainGAP scores and chronological age (r(163)=-0.244, p<0.001) indicating that younger participants had higher BrainGAP (premature brain aging). Chronological age also showed a positive correlation with WMH load (r(163)=0.506, p<0.001) indicating older participants had increased WMH load. Controlling for chronological age, there was a statistically significant relationship between premature brain aging and WMHs load (r(163)=0.216, p=0.003). Each additional year in brain age beyond chronological age corresponded to an additional 1.1mm3 in WMH load.
Conclusions:
WMHs are an independent factor associated with premature brain aging. This finding underscores the impact of white matter disease on global brain integrity and progressive age-like brain atrophy.
Insights
White matter hyperintensities (WMHs) are independently associated with premature brain aging. This indicates that white matter disease impacts brain integrity and accelerates age-related brain atrophy.
Area of Science:
- Neuroimaging
- Gerontology
- Neurology
Background:
- Brain age, an MRI-derived metric, reflects age-related brain tissue loss.
- White matter hyperintensities (WMHs) are markers of small vessel disease and brain compromise.
- This study investigates the independent association between WMHs and premature brain aging.
Purpose of the Study:
- To determine if white matter hyperintensities (WMHs) are independently associated with premature brain aging.
- To quantify the relationship between WMH load and brain age gap (BrainGAP).
Main Methods:
- Brain age was calculated using machine learning on T1-weighted MRI scans.
- WMHs were manually delineated on FLAIR images to determine WMH load.
- Partial correlations assessed the relationship between BrainGAP and WMH load, controlling for chronological age.
Main Results:
- Brain age and chronological age were strongly correlated (r=0.932).
- Premature brain aging (higher BrainGAP) was negatively correlated with chronological age (r=-0.244).
- WMH load was positively correlated with chronological age (r=0.506) and independently associated with premature brain aging (r=0.216, p=0.003) after controlling for age.
Conclusions:
- White matter hyperintensities (WMHs) are an independent factor contributing to premature brain aging.
- This highlights the impact of white matter disease on global brain integrity.
- WMHs are associated with accelerated, age-like brain atrophy.
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