SimulAD: A dynamical model for personalized simulation and disease staging in Alzheimer's disease - Archive ouverte HAL Access content directly
Journal Articles Neurobiology of Aging Year : 2022

SimulAD: A dynamical model for personalized simulation and disease staging in Alzheimer's disease

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Abstract

SimulAD is a computational disease progression model (DPM) originally developed on the ADNI database to simulate the evolution of clinical and imaging markers characteristic of AD, and to quantify the disease severity (DS) of a subject. In this work, we assessed the validity of this estimated DS, as well as the generalization of the DPM, by applying SimulAD on a new cohort from the Geneva Memory Center (GMC). The differences between the estimated DS of healthy, mild cognitive impairment and AD dementia groups were statistically significant (p-values < 0.05; d ≥ 0.8). DS correlated with MMSE (ρ =-0.55), hippocampal atrophy (ρ =-0.62), glucose hypometabolism (ρ =-0.67), amyloid burden (ρ = 0.31) and tau deposition (ρ = 0.62) (p-values < 0.01). Based on the dynamics estimated on the ADNI cohort, we simulated a DPM for the subjects of the GMC cohort. The difference between the temporal evolution of similar biomarkers simulated on the ADNI and GMC cohorts remained below 10%. This study illustrates the robustness and good generalization of SimulAD, highlighting its potential for clinical and pharmaceutical studies.
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Dates and versions

hal-03514292 , version 1 (06-01-2022)

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Clément Abi Nader, Federica Ribaldi, Giovanni B Frisoni, Valentina Garibotto, Philippe Robert, et al.. SimulAD: A dynamical model for personalized simulation and disease staging in Alzheimer's disease. Neurobiology of Aging, 2022, 113, pp.73-83. ⟨10.1016/j.neurobiolaging.2021.12.015⟩. ⟨hal-03514292⟩
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