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Abstract #2661

Assessment of cerebral pulsatility using high temporal-resolution MRI

Kevin J Ray1, Alastair Webb2, and Peter Jezzard1

1Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 2Stroke Prevention Research Unit, University of Oxford, Oxford, United Kingdom

High frequency resting state BOLD MRI (rs-fMRI, TR=0.43s) detects effects of blood flow pulsatility on the cerebrovasculature, but no systematic comparison of analysis methods has been performed. In ten healthy subjects, we compared three pulsatility quantification methods (iterative GLM, mean-squared coherence (MSC), number of standard deviations (nSD)), with or without external physiological measurements. MSC detected the greatest proportion of voxels with significant pulsatility, but iGLM analysis was the most specific method, identified greater normalised pulsatility magnitude in arteries, and was the only approach that produced similar estimates of pulsatility magnitude and extent independently of external physiological data.

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