title: Mapping the effects of Abeta1-42 levels on the longitudinal changes in healthy aging: hierarchical modeling based on stationary velocity fields.
abstract: Mapping the effects of different clinical conditions on the evolution of the brain structural changes is of central interest in the field 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 modifications in populations. In computational anatomy, the changes in the brain are often measured by deformation fields obtained through non rigid registration, and the stationary velocity field (SVF) parametrization provides a computationally efficient registration scheme. The aim of this study is to extend this framework into an efficient and robust multilevel one for accurately modeling the longitudinal changes in populations. This setting is used to investigate the subtle effects of the positivity of the CSF Abeta1-42 levels on brain atrophy in healthy aging. Thanks to the higher sensitivity of our framework, we obtain statistically significant 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.
authors: Project Team Asclepios, INRIA Sophia Antipolis, France.
authors: Marco
authors: M
authors: Lorenzi
authors: Nicholas
authors: N
authors: Ayache
authors: Giovanni B
authors: GB
authors: Frisoni
authors: Xavier
authors: X
authors: Pennec
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D000465:Algorithms; D000544:Alzheimer Disease / Q000378:metabolism*; D016229:Amyloid beta-Peptides / Q000378:metabolism*; D001921:Brain / Q000378:metabolism* / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods*; D018450:Disease Progression; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D015233:Models, Statistical; D016011:Normal Distribution; D010446:Peptide Fragments / Q000378:metabolism*
chemical_list: D016229:Amyloid beta-Peptides; D010446:Peptide Fragments; C075222:amyloid beta-protein (1-42)