2024
DOI: 10.1016/j.brainres.2023.148668
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A review on brain age prediction models

L.K. Soumya Kumari,
R. Sundarrajan
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Cited by 6 publications
(1 citation statement)
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“…For chronic stress, our results are consistent with evidence indicating a positive link between chronic stress (AL index) and WM volume(12, 13, 51), WM tracks(15, 52), and WM microstructure(14), while we further provide evidence that the association between AL index and WM BAG may be causal. In contrast to earlier studies that used multiple singular measurements, WM BAG offers a holistic estimation of brain aging that is derived from 39 brain-wide white matter fractional anisotropy tracks using a machine learning model, providing a single measure of brain aging that is predictive of cognitive decline(23) and standardized for use across diverse studies(53).…”
Section: Discussionmentioning
confidence: 99%
“…For chronic stress, our results are consistent with evidence indicating a positive link between chronic stress (AL index) and WM volume(12, 13, 51), WM tracks(15, 52), and WM microstructure(14), while we further provide evidence that the association between AL index and WM BAG may be causal. In contrast to earlier studies that used multiple singular measurements, WM BAG offers a holistic estimation of brain aging that is derived from 39 brain-wide white matter fractional anisotropy tracks using a machine learning model, providing a single measure of brain aging that is predictive of cognitive decline(23) and standardized for use across diverse studies(53).…”
Section: Discussionmentioning
confidence: 99%