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Abstract #3707

Characterize cerebrovascular reactivity by measuring the functional topology-informed synchronization of fMRI signals

Xinlan Zhang1, Luying Li1, Yuhao Chen1, Ruoxi Xie1, Huilou Liang2, Su Lui1, and Yu Zhao1
1Department of Radiology, West China Hospital, Chengdu, China, 2GE HealthCare MR Research, Beijing, China

Synopsis

Keywords: fMRI Analysis, Vascular

Motivation: The conventional approach to assess cerebrovascular reactivity involves employing the general linear model to analyze functional MRI (fMRI) signals, with end-tidal CO2 concentration as the regressor. However, spatial variations in delays of CO2-evoked responses due to complex vasculature of the brain may lead to inaccurate detection of cerebrovascular reactivity.

Goal(s): Our study is to propose a new approach to characterize cerebrovascular reactivity without the linear assumption.

Approach: We proposed a model-free approach to characterize cerebrovascular reactivity by measuring increases in functional topology-informed synchronization of fMRI signals.

Results: Our proposed model-free approach could detect cerebrovascular reactivity in a more accurate manner.

Impact: The model-free approach characterizes cerebrovascular reactivity by measuring changes in BOLD signal synchronization based on functional topology with a high spatial specificity and sensitivity, which is expected to serve as a standardized tool to measure cerebrovascular reactivity.

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Keywords