Keywords: Aging, Aging, Mean Apparent Propagator MRI
Motivation: The mean apparent propagator (MAP)-MRI model, free from biophysical assumptions, shows high sensitivity to gray matter (GM) microstructural changes. Yet, its capacity to predict age-related cognitive and behavioral changes is uncharted.
Goal(s): To profile MAP-MRI based microstructural/volumetric changes in normal aging and its cognitive correlates.
Approach: Utilizing the HCP-Aging diffusion and cognitive datasets from 707 unimpaired participants, we investigated age associations in 56 GM regions and their cognitive correlates.
Results: MAP-MRI identified unique age-related patterns in GM regions, linked to memory and executive function decline, limbic network stability; suggesting potential for MAP-MRI in predicting age-related cognitive, behavioral, and microstructural changes.
Impact: MAP-MRI identified unique age-related patterns in GM regions, linked to memory and executive function decline, limbic network stability; suggesting potential for MAP-MRI in predicting age-related cognitive, behavioral, and microstructural changes.
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