ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging
Characterizing Hemodynamic Alterations in Glioma: Insights From Resting-State Functional MRI.
Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Leveraging Task FMRI Data to Extract Resting-State Metrics in Brain Tumor and Healthy Populations.Clinical neuroradiology · 2026Article
- Characterizing Hemodynamic Alterations in Glioma: Insights From Resting-State Functional MRI.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
background and purposeThis study aims to characterize hemodynamic alterations in gliomas by analyzing global signal metrics and amplitude of low-frequency fluctuations (ALFF).
methodsWe analyzed resting-state functional MRI data from an open dataset. A total of 29 glioma patients (17 men; mean age: 44.2 ± 13.9 years; 16 high-grade) were included. Global signal cross-correlation (GSXC), representing the maximum cross-correlation value between each voxel's time series and the average gray matter signal of the contralateral hemisphere, and ALFF were calculated. Regions of interest for tumor were defined and mirrored to the contralateral side for comparison. Linear mixed-effects models were used to examine effects of tumor grade and measurement side on GSXC and ALFF. Post hoc analyses compared tumor versus contralateral regions.
resultsGSXC was significantly reduced in tumor regions compared to the contralateral hemisphere, regardless of tumor grade (low-grade: 0.31 ± 0.21 vs. 0.45 ± 0.16, p = 0.005; high-grade: 0.39 ± 0.17 vs. 0.55 ± 0.13, p < 0.001). ALFF was significantly lower in low-grade tumors compared to the contralateral side (0.65 ± 0.15 vs. 0.77 ± 0.14, p = 0.005), while no significant difference was found in high-grade tumors (0.80 ± 0.18 vs. 0.77 ± 0.10, p = 0.46).
conclusionsOur findings suggest that GSXC and ALFF provide complementary pathological information on glioma. GSXC indicates impaired cerebrovascular reactivity due to gliovascular uncoupling, whereas ALFF shows an increase in high-grade gliomas likely reflecting greater total vascularity.
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