Mapping the e ects of A β 1 − 42 levels on the longitudinal changes in healthy aging : hierarchical modeling based on stationary velocity elds

Mapping the e ects of di erent clinical conditions on the evolution of the brain structural changes is of central interest in the eld of neuroimaging. A reliable description of the cross-sectional longitudinal changes requires the consistent integration of intra and inter-subject variability in order to detect the subtle modi cations in populations. In computational anatomy, the changes in the brain are often measured by deformation elds obtained through non rigid registration, and the stationary velocity eld (SVF) parametrization provides a computationally e cient registration scheme. The aim of this study is to extend this framework into an e cient and robust multilevel one for accurately modeling the longitudinal changes in populations. This setting is used to investigate the subtle e ects of the positivity of the CSF Aβ1−42 levels on brain atrophy in healthy aging. Thanks to the higher sensitivity of our framework, we obtain statistically signi cant results that highlight the relationship between brain damage and positivity to the marker of Alzheimer's disease and suggest the presence of a presymptomatic pattern of the disease progression.

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