Jean Daunizeau

8 janvier 2021

ICM (Paris, France)

Model-based assessment of brain-behavior relationships

Invité par Andrea Brovelli


Abstract : Functional outcomes (e.g., subjective percepts, emotions, memory retrievals, decisions, etc...) are partly determined by external stimuli and/or cues. But they may also be strongly influenced by (trial-by-trial) uncontrolled variations in brain responses to incoming information. In turn, this variability may provide critical information regarding how behaviourally relevant inputs are eventually transformed into functional outcomes. Assessing brain-behavior relationships thus requires considering the (possibly nonlinear and/or stochastic) impact of biological constraints onto input-output transformations in the brain. In this talk, I will review a portfolio of existing approaches to decomposing the brain’s transformation of behaviourally-relevant inputs into functional outcomes, in terms of the relative contribution of brain regions and/or their connections. In particular, I will highlight three novel computational approaches to joint behaviour/fMRI modeling, namely : mass-univariate mediation analysis, artificial neural network modelling, and behavioral DCM (dynamic causal modelling). The aim here is to highlight the sort of questions that can be empirically addressed using each approach in turn, as well as understand their strengths and weaknesses.

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