ArticleJournal of magnetic resonance imaging : JMRI2022
Cerebrovascular Reactivity Mapping Using Resting-State Functional MRI in Patients With Gliomas.
Article in Journal of magnetic resonance imaging : JMRI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Calibration-Free Estimation of Cerebrovascular Reactivity From Resting-State BOLD fMRI Using Reconstructed Respiratory Fluctuations.Magnetic resonance in medicine · 2026Article
- Iterative delay correction improves breath-hold cerebrovascular reactivity mapping in clinical populations.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Evaluation of cerebrovascular reactivity impairment using resting-state BOLD MRI in symptomatic patients with unilateral intracranial artery occlusion.Cerebral circulation - cognition and behavior · 2026Article
- Review
- Diverging patterns of plasticity in the nucleus basalis of Meynert in early- and late-onset blindness.Brain communications · 2023Article
- Dependence of resting-state-based cerebrovascular reactivity (CVR) mapping on spatial resolution.Frontiers in neuroimaging · 2023Article
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundRecently, 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 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. POPULATION: Twenty-five patients (12 males, 13 females; mean age ± SD, 48 ± 13 years) with gliomas. FIELD STRENGTH/SEQUENCE: Dynamic T2*-weighted gradient-echo echo-planar imaging during a breath-hold paradigm and during the rs on a 3-T scanner. ASSESSMENT: rs-CVR with various frequency ranges and resting-state fluctuation amplitude (RSFA) were assessed. The agreement between each rs-based CVR measurement and bh-CVR was determined by voxel-wise correlation and Dice coefficient in the whole brain, gray matter, and the lesion region of interest (ROI). STATISTICAL TESTS: Voxel-wise Pearson correlation, Dice coefficient, Fisher Z-transformation, repeated-measure analysis of variance and post hoc test with Bonferroni correction, and nonparametric repeated-measure Friedman test and post hoc test with Bonferroni correction were used. Significance was set at P < 0.05.
resultsCompared with bh-CVR, the highest correlations were found at the frequency bands of 0.04-0.08 Hz and 0.02-0.04 Hz for rs-CVR in both whole brain and the lesion ROI. RSFA had significantly lower correlations than did rs-CVR of 0.02-0.04 Hz and a wider frequency range (0-0.1164 Hz). Significantly higher correlations and Dice coefficient were found in normal tissues than in the lesion ROI for all three methods. DATA
conclusionThe optimal frequency ranges for rs-CVR are determined by comparing with bh-CVR in patients with gliomas. The rs-CVR method outperformed the RSFA. Significantly higher correlation and Dice coefficient between rs- and bh-CVR were found in normal tissue than in the lesion. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 2.
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