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Updated: Aug 7, 2026
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MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges
Published on: December 17, 2014
Calibration-Free Estimation of Cerebrovascular Reactivity From Resting-State BOLD fMRI Using Reconstructed
Abdoljalil Addeh1,2, Ethan Church3, Muhammad Mahajna4,5,6,7
1School of Computing Sciences and Mathematics, Mount Royal University, Calgary, Canada.
Magnetic Resonance in Medicine
|August 6, 2026
Summary
This study presents a new, non-invasive method to measure cerebrovascular reactivity (CVR) using resting-state fMRI. This approach eliminates the need for breath-holding or gas challenges, making CVR mapping more accessible.
Area of Science:
- Neuroimaging
- Cardiovascular Physiology
- Medical Physics
Background:
- Cerebrovascular reactivity (CVR) is a key indicator of brain vascular health.
- Conventional CVR assessment uses hypercapnic challenges or breath-holds with BOLD-fMRI, requiring extra scans and equipment.
- These limitations hinder CVR application in large-scale studies and clinical settings.
Purpose of the Study:
- To introduce a novel framework for estimating CVR from resting-state BOLD-fMRI.
- To develop a method that is calibration-free and breath-hold-free.
- To enable broader CVR assessment in research and clinical environments.
Main Methods:
- Utilized a machine learning-based respiratory variation (RV) reconstruction from BOLD-fMRI time series.
- Convolved reconstructed RV with a respiratory response function.
- Employed a voxel-wise general linear model (GLM) with RV as a regressor to estimate CVR.
Main Results:
- The proposed framework showed good spatial correlation with CVR maps derived from hypercapnic challenges (mean r=0.61).
- Performance was strongest in individuals with higher respiratory variability (mean r=0.72).
- Validation was conducted on 83 healthy young adults.
Conclusions:
- Established a reliable, non-invasive, and calibration-free strategy for CVR mapping.
- The method facilitates wider deployment of CVR assessment.
- Overcomes limitations of traditional gas-challenge protocols and physiological monitoring.
