Moving from phenomenological to predictive modelling: Progress and pitfalls of modelling brain stimulation in-silico

Danielle L. Kurtin, Valentina Giunchiglia, Jakub Vohryzek, Joana Cabral, Anne C. Skeldon, Inês R. Violante

Abstract: Highlights•Computational models are useful for investigating the effects of brain stimulation•There are common construction choices when building generative brain models•We propose three phases to generate testable, model-informed stimulation targets