Cerebrovascular reactivity (CVR) is typically assessed with a carbon dioxide (CO) stimulus combined with BOLD fMRI. Recently, resting-state (RS) BOLD fMRI has been shown capable of generating CVR maps, providing a potential for broader CVR applications in neuroimaging studies. However, prior RS-CVR studies have primarily been performed at a spatial resolution of 3-4 mm voxel sizes. It remains unknown whether RS-CVR can also be obtained at high-resolution without major degradation in image quality. In this study, we investigated RS-CVR mapping based on resting-state BOLD MRI across a range of spatial resolutions in a group of healthy subjects, in an effort to examine the feasibility of RS-CVR measurement at high resolution. Comparing the results of RS-CVR with the maps obtained by the conventional CO2-inhalation method, our results suggested that good CVR map quality can be obtained at a voxel size as small as 2 mm isotropic. Our results also showed that, RS-CVR maps revealed resolution-dependent sensitivity. However, even at a high resolution of 2 mm isotropic voxel size, the voxel-wise sensitivity is still greater than that of typical task-evoked fMRI. Scan duration affected the sensitivity of RS-CVR mapping, but had no significant effect on its accuracy. These findings suggest that RS-CVR mapping can be applied at a similar resolution as state-of-the-art fMRI studies, which will broaden the use of CVR mapping in basic science and clinical applications including retrospective analysis of previously collected fMRI data.
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http://dx.doi.org/10.3389/fnimg.2023.1205459 | DOI Listing |
Front Neuroimaging
June 2023
Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Cerebrovascular reactivity (CVR) is typically assessed with a carbon dioxide (CO) stimulus combined with BOLD fMRI. Recently, resting-state (RS) BOLD fMRI has been shown capable of generating CVR maps, providing a potential for broader CVR applications in neuroimaging studies. However, prior RS-CVR studies have primarily been performed at a spatial resolution of 3-4 mm voxel sizes.
View Article and Find Full Text PDFJ Magn Reson Imaging
December 2022
Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Background: Recently, a data-driven regression analysis method was developed to utilize the resting-state (rs) blood oxygenation level-dependent signal for cerebrovascular reactivity (CVR) mapping (rs-CVR), which was previously optimized by comparing with the CO inhalation-based method in health subjects and patients with neurovascular diseases.
Purpose: To investigate the agreement of rs-CVR and the CVR mapping with breath-hold MRI (bh-CVR) in patients with gliomas.
Study Type: Retrospective.
Radiology
May 2021
From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.).
Background Cerebrovascular reserve, the potential capacity of brain tissue to receive more blood flow when needed, is a desirable marker in evaluating ischemic risk. However, current measurement methods require acetazolamide injection or hypercapnia challenge, prompting a clinical need for resting-state (RS) blood oxygen level-dependent (BOLD) functional MRI data to measure cerebrovascular reactivity (CVR). Purpose To optimize and evaluate an RS CVR MRI technique and demonstrate its relationship to neurosurgical treatment.
View Article and Find Full Text PDFNeuroimage
September 2016
Rotman Research Institute, Baycrest Centre, Canada; Department of Medical Biophysics, University of Toronto, Canada. Electronic address:
In conventional neuroimaging, cerebrovascular reactivity (CVR) is quantified primarily using the blood-oxygenation level-dependent (BOLD) functional MRI (fMRI) signal, specifically, as the BOLD response to intravascular carbon dioxide (CO2) modulations, in units of [%ΔBOLD/mmHg]. While this method has achieved wide appeal and clinical translation, the tolerability of CO2-related tasks amongst patients and the elderly remains a challenge in more routine and large-scale applications. In this work, we propose an improved method to quantify CVR by exploiting intrinsic fluctuations in CO2 and corresponding changes in the resting-state BOLD signal (rs-qCVR).
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