A computational model to characterize the time-course of response to rapid antidepressant therapies.

ABSTRACT: Our objective is to propose a method capable of disentangling the magnitude, the speed, and the duration or decay rate of the time course of response to rapid antidepressant therapies. To this end, we introduce a computational model of the time course of response to a single treatment with a rapid antidepressant. Numerical simulation is used to evaluate whether model parameters can be accurately estimated from observed data. Finally, we compare our computational modelling-based approach with linear mixed effects modelling in terms of their ability to detect changes in the magnitude and time-course of response to rapid antidepressant therapies in simulated randomized trials. Simulation experiments show that the parameters of our computational model can be accurately recovered using nonlinea

SUBMITTER: Nunes A 

PROVIDER: S-EPMC10836665 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature