Baarbod Ashenagar

2 weeks ago | biorxiv.org | Baarbod Ashenagar |Daniel Gomez |Laura Lewis

AbstractCerebrospinal fluid (CSF) flow in the brain is tightly regulated and essential for brain health, and imaging techniques are needed to quantitatively establish the properties of this flow system. Flow-sensitive fMRI has recently emerged as a tool to measure large scale CSF flow dynamics with high sensitivity and temporal resolution; however, the measured signal is not quantitative. Here, we developed a dynamic model to simulate and infer time varying flow velocities from fMRI data.