ArticlePloS one2022
CVR-MRICloud: An online processing tool for CO2-inhalation and resting-state cerebrovascular reactivity (CVR) MRI data.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 17 citations in OpenAlex.
- Trace of delirium after robotic lower abdominal tumor resection at different end-tidal carbon dioxide: a RCT trial.BMC anesthesiology · 2024Trial
- Cerebrovascular reactivity delay measured by blood oxygen level dependent magnetic resonance imaging and gas challenges: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Review
- Association Between Gas-Free Cerebrovascular Reactivity (CVR) and Cognitive Function in Older Adults With a High Risk for Vascular Dementia.Journal of magnetic resonance imaging : JMRI · 2026Article
- Imaging markers of neuroinflammation in aging and Alzheimer's disease and related dementia: A comprehensive review.Neuroscience and biobehavioral reviews · 2025Review
- One-year exercise improves cognition and fitness and decreases vascular stiffness and reactivity to CO2 in amnestic mild cognitive impairment.Journal of Alzheimer's disease : JAD · 2025Article
- The influence of cardiovascular fitness and ventilatory efficiency on fMRI assessed cerebrovascular reactivity in older adults.Frontiers in physiology · 2025Article
- The dependence of COImaging neuroscience (Cambridge, Mass.) · 2025Article
- NOise Reduction with DIstribution Corrected (NORDIC) principal component analysis improves brain activity detection across rodent and human functional MRI contexts.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Cerebrovascular reactivity MRI as a biomarker for cerebral small vessel disease-related cognitive decline: Multi-site validation in the MarkVCID Consortium.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- CVRmap-a complete cerebrovascular reactivity mapping post-processing BIDS toolbox.Scientific reports · 2024Article
- Regional differences in the link between water exchange rate across the blood-brain barrier and cognitive performance in normal aging.GeroScience · 2024Article
- Article
- Toward vendor-independent measurement of cerebral venous oxygenation: Comparison of TRUST MRI across three major MRI manufacturers and association with end-tidal CONMR in biomedicine · 2023Article
- Dependence of resting-state-based cerebrovascular reactivity (CVR) mapping on spatial resolution.Frontiers in neuroimaging · 2023Article
- Diverging patterns of plasticity in the nucleus basalis of Meynert in early- and late-onset blindness.Brain communications · 2023Article
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Authors and funding
12 authors at 6 institutions in 1 country.
Funding
Abstract
Cerebrovascular Reactivity (CVR) provides an assessment of the brain's vascular reserve and has been postulated to be a sensitive marker in cerebrovascular diseases. MRI-based CVR measurement typically employs alterations in arterial carbon dioxide (CO2) level while continuously acquiring Blood-Oxygenation-Level-Dependent (BOLD) images. CO2-inhalation and resting-state methods are two commonly used approaches for CVR MRI. However, processing of CVR MRI data often requires special expertise and may become an obstacle in broad utilization of this promising technique. The aim of this work was to develop CVR-MRICloud, a cloud-based CVR processing pipeline, to enable automated processing of CVR MRI data. The CVR-MRICloud consists of several major steps including extraction of end-tidal CO2 (EtCO2) curve from raw CO2 recording, alignment of EtCO2 curve with BOLD time course, computation of CVR value on a whole-brain, regional, and voxel-wise basis. The pipeline also includes standard BOLD image processing steps such as motion correction, registration between functional and anatomic images, and transformation of the CVR images to canonical space. This paper describes these algorithms and demonstrates the performance of the CVR-MRICloud in lifespan healthy subjects and patients with clinical conditions such as stroke, brain tumor, and Moyamoya disease. CVR-MRICloud has potential to be used as a data processing tool for a variety of basic science and clinical applications.
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