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Abstract #4585

Cerebrovascular Reactivity Mapping using General Linear Model in Frequency Domain

Botian Xu1, Chau Vu1, Matthew Borzage2, and John Wood2
1University of Southern California, Los Angeles, CA, United States, 2Children's Hospital Los Angeles, Los Angeles, CA, United States


Cerebrovascular reactivity (CVR), measuring the ability of vessel dilation or constriction, is an important indicator of cerebrovascular health. As a parameter describing the hemodynamic changes, CVR requires a physiological challenge as the stimulus and monitors the response of the brain metabolism. We propose a frequency-based approach, which applies general linear model (GLM) on the magnitude of the stimulus and response spectrum to avoid challenges with signal alignment and improve robustness to noise in CVR estimation.

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