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However, both the acquisition and processing of CVR data are influenced by numerous methodological factors, including imaging technique, sequence parameters, vascular paradigm, and data processing strategies. These complexities can be daunting for newcomers and hinder methodological consistency across studies. To support both novice and experienced researchers, we systematically evaluated how different processing strategies affect CVR map repeatability, quantified using spatial intraclass correlation, across multiple vascular paradigms. Twenty-four healthy volunteers underwent BOLD\u2013CVR imaging using CO\n                    <jats:sub>2<\/jats:sub>\n                    inhalation, breath-hold, and resting-state paradigms, each repeated in a test\u2013retest setup. We found that optimal processing choices varied across paradigms and interacted in non-trivial ways. For example, the inclusion of motion-confounds and the application of temporal filtering require careful consideration, as they can introduce substantial collinearity in the regression model and reduce repeatability. 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