CVR-MRICloud

CVR-MRICloud analyzes cerebrovascular reactivity (CVR) MRI data from CO2-inhalation and resting-state acquisitions to quantify cerebrovascular reserve by aligning End-tidal CO2 (EtCO2) recordings with BOLD time courses and computing voxel-wise, regional, and whole-brain CVR metrics.

Key Features:

• Automated Data Processing: Automates extraction, alignment, computation, and preprocessing steps for CVR analysis.
• End-tidal CO2 (EtCO2) Curve Extraction: Extracts the EtCO2 curve from raw CO2 recordings for physiological timing information.
• EtCO2–BOLD Alignment and CVR Computation: Aligns the extracted EtCO2 curve with the BOLD time course and computes CVR values at whole-brain, regional, and voxel-wise scales.
• Standard BOLD Image Processing: Performs motion correction, registration between functional and anatomical images, and transformation of CVR images to canonical space.

Scientific Applications:

• Population and disease studies: Demonstrated in healthy subjects across the lifespan and in patients with stroke, brain tumors, and Moyamoya disease.
• Research on cerebrovascular health: Enables study of cerebrovascular reserve and disease mechanisms using CO2-inhalation and resting-state CVR MRI.
• Clinical assessment: Supports diagnosis and monitoring of cerebrovascular disorders through quantitative CVR metrics.

Methodology:

Extract EtCO2 curves from raw CO2 recordings; align EtCO2 with BOLD time courses; compute CVR at voxel-wise, regional, and whole-brain scales; apply motion correction, functional-to-anatomical registration, and transform CVR images to canonical space.