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Baarbod Ashenagar

As seen in: PNAS, BioRxiv
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Articles

Modeling dynamic inflow effects in fMRI to quantify cerebrospinal fluid flow

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By Baarbod Ashenagar, Daniel Gomez Verified, Laura Lewis
| BioRxiv
Abstract Cerebrospinal 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.
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The capillary Kir channel as sensor and amplifier of neuronal signals: Modeling insights on K+-mediated neurovascular communication

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By of Vermont, Arash Moshkforoush, Baarbod Ashenagar, Osama F. Harraz
| PNAS Verified
Given the considerable uncertainty arising from underlying disease and social dynamics, detailed refinements to models often create a misleading sense of precision.
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