Scientific article
Open access

Simulating the outcome of amyloid treatments in Alzheimer's disease from imaging and clinical data

ContributorsAbi Nader, Clémentorcid; Ayache, Nicholas; Frisoni, Giovanni; Robert, Philippe; Lorenzi, Marco; Alzheimer’s Disease Neuroimaging Initiative
Published inBrain communications, vol. 3, no. 2, fcab091
Publication date2021
First online date2021-04-28

In this study, we investigate SimulAD, a novel quantitative instrument for the development of intervention strategies for disease-modifying drugs in Alzheimer's disease. SimulAD is based on the modeling of the spatio-temporal dynamics governing the joint evolution of imaging and clinical biomarkers along the history of the disease, and allows the simulation of the effect of intervention time and drug dosage on the biomarkers' progression. When applied to multi-modal imaging and clinical data from the Alzheimer's Disease Neuroimaging Initiative the method enables to generate hypothetical scenarios of amyloid lowering interventions. The results quantify the crucial role of intervention time, and provide a theoretical justification for testing amyloid modifying drugs in the pre-clinical stage. Our experimental simulations are compatible with the outcomes observed in past clinical trials, and suggest that anti-amyloid treatments should be administered at least 7 years earlier than what is currently being done in order to obtain statistically powered improvement of clinical endpoints.

  • Alzheimer’s disease
  • amyloid hypothesis
  • biomarkers
  • clinical trials
  • disease progression
Citation (ISO format)
ABI NADER, Clément et al. Simulating the outcome of amyloid treatments in Alzheimer’s disease from imaging and clinical data. In: Brain communications, 2021, vol. 3, n° 2, p. fcab091. doi: 10.1093/braincomms/fcab091
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ISSN of the journal2632-1297

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