Systematic evaluation of processing strategies affecting cerebrovascular reactivity imaging repeatability in healthy volunteers, indicating the need for consistent methodologies.
Key Points
This research aims to understand how different data processing strategies influence the repeatability of cerebrovascular reactivity (CVR) imaging.
Conducted BOLD–CVR imaging with CO2 inhalation, breath-hold, and resting-state paradigms.
Assessed repeatability using spatial intraclass correlation across multiple paradigms.
Implemented test–retest setups with 24 healthy volunteers to evaluate processing strategies.
Optimal processing strategies varied significantly among different vascular paradigms.
Inclusion of motion-confounds and temporal filtering impacted regression model collinearity and repeatability.
Guidelines were developed to assist researchers in achieving methodological consistency.