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AD Course Map charts Alzheimer’s disease progression
Abstract : Alzheimer's disease (AD) is characterized by the progressive alterations seen in brain images which give rise to the onset of various sets of symptoms. The variability in the dynamics of changes in both brain images and cognitive impairments remains poorly understood. This paper introduces AD Course Map a spatiotemporal atlas of Alzheimer's disease progression. It summarizes the variability in the progression of a series of neuropsychological assessments, the propagation of hypometabolism and cortical thinning across brain regions and the deformation of the shape of the hippocampus. The analysis of these variations highlights strong genetic determinants for the progression, like possible compensatory mechanisms at play during disease progression. AD Course Map also predicts the progression of patient data in the future with a better accuracy than the 56 methods benchmarked in the open challenge TADPOLE. Finally, AD Course Map is used to simulate cohorts of virtual patients developing Alzheimer's disease. AD Course Map offers therefore new tools for exploring the progression of AD and personalizing patients care.
Keywords :
Computational science
Computer science
https://hal.inria.fr/hal-01964821
Contributor : Equipe Hal Paris Diderot Connect in order to contact the contributor
Submitted on : Monday, May 31, 2021 - 12:48:20 PM
Last modification on : Friday, May 20, 2022 - 11:06:55 AM
Contributor : Equipe Hal Paris Diderot Connect in order to contact the contributor
Submitted on : Monday, May 31, 2021 - 12:48:20 PM
Last modification on : Friday, May 20, 2022 - 11:06:55 AM
File
s41598-021-87434-1.pdf
Publication funded by an institution
Licence
Distributed under a Creative Commons Attribution 4.0 International License