Cerebrovascular reactivity (CVR) has been shown to be an important parameter that is altered in certain pathologies. Analysis strategies using MRI data typically assume similar responses across the brain, neglecting the need and potential of modelling temporal features. In this work, we propose and test a novel method for the evaluation of CVR dynamics based on a variational Bayesian approach. Although this method yields similar CVR results to more standard approaches, it is more time efficient and has the potential to improve modelling by incorporating non-linear and biophysically informed models.
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