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Abstract #3849

Bayesian and lagged general linear modelling strategies in breath-hold induced cerebrovascular reactivity mapping with muti-echo BOLD fMRI

Genevieve Hayes1, Joana Pinto1, Stefano Moia2, Martin Craig3, Michael Chappell3, Cesar Caballero-Gaudes2, and Daniel P Bulte1
1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 2Basque Centre on Cognition, Brain and Language, Donostia-San Sebastian, Spain, 3Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom

Synopsis

Keywords: fMRI, Blood vessels, Cerebrovascular reactivityCerebrovascular reactivity (CVR), the ability of blood vessels to dilate and constrict in response to a vasoactive stimulus, is an important indicator of cerebrovascular health and can be estimated using BOLD functional MRI. In this work, we evaluated a novel variational Bayesian method for mapping CVR dynamics which yielded similar CVR results and reproducibility to a time-shifted, “lagged” general linear model approach, and uncovered the need for more research into negative CVR. This novel approach is more time efficient and has the potential to improve CVR mapping by incorporating non-linear modelling and physiologically meaningful information (in the form of priors).

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Keywords