Abstract #0286

Quantitative mapping of cerebrovascular reactivity amplitude and delay with breath-hold BOLD fMRI when breath-hold task compliance is low

Rebecca G. Clements^1,2, Kristina M. Zvolanek^1,2, Neha A. Reddy^1,2, Kimberly J. Hemmerling^1,2, Roza G. Bayrak³, Catie Chang^3,4,5, and Molly G. Bright^1,2

¹Biomedical Engineering, Northwestern University, Evanston, IL, United States, ²Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States, ³Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States, ⁴Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, ⁵Computer Science, Vanderbilt University, Nashville, TN, United States

Synopsis

Keywords: fMRI Analysis, fMRI (task based), Cerebrovascular reactivity, cerebral blood vessels, CO2, breath-holds, machine learning

Motivation: Cerebrovascular reactivity (CVR) indicates cerebrovascular health and is often measured using breath-hold tasks during fMRI scanning. Measuring end-tidal CO₂ (P_ETCO₂) during the scan allows CVR amplitude to be calculated in standard units, enabling comparisons across subjects. Accurately measuring breath-hold P_ETCO₂ is challenging, particularly in clinical populations.

Goal(s): Our goal is to develop a method for modeling CVR in standard units when P_ETCO₂ quality is low.

Approach: We evaluated 2 alternative regressors (RVT and predicted P_ETCO₂) for modeling CVR in standard units.

Results: Both regressors enable robust CVR mapping in standard units in low-quality data; predicted P_ETCO₂ may offer greater sensitivity to cerebrovascular pathology.

Impact: The proposed methods model cerebrovascular reactivity in standard units, facilitating comparisons across subjects and with established healthy ranges. This work will increase the feasibility of mapping cerebrovascular function in clinical populations with variable breath-hold task compliance.

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