"Our results support previous work suggesting there is a relationship between chronological age and WMH [white matter hyperintensities] volume, and chronological age and estimated brain age."
BUFFALO, NY- December 22, 2022 – A new research paper was published in Aging (listed as "Aging (Albany NY)" by MEDLINE/PubMed and "Aging-US" by Web of Science) Volume 14, Issue 23, entitled, "White matter hyperintensity load is associated with premature brain aging."
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.
In this new study, researchers Natalie Busby, Sarah Newman-Norlund, Sara Sayers, Roger Newman-Norlund, Sarah Wilson, Samaneh Nemati, Chris Rorden, Janina Wilmskoetter, Nicholas Riccardi, Rebecca Roth, Julius Fridriksson, and Leonardo Bonilha from University of South Carolina, Medical University of South Carolina and Emory University tested the hypothesis that WMHs are independently associated with premature brain age in an original aging cohort.
"We hypothesized that a higher WMH load is linearly associated with premature brain aging controlling for chronological age."
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).
Brain and chronological age were strongly correlated (r(163)=0.932, p
"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."
DOI: https://doi.org/10.18632/aging.204397
Corresponding Author: Natalie Busby
