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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Related Experiment Video

Updated: Sep 9, 2025

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
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Characterizing Hemodynamic Alterations in Glioma: Insights From Resting-State Functional MRI.

Jun Kanzawa1, Shiori Amemiya1, Hidemasa Takao1

  • 1Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|September 3, 2025
PubMed
Summary
This summary is machine-generated.

Global signal cross-correlation (GSXC) and amplitude of low-frequency fluctuations (ALFF) reveal distinct glioma characteristics. GSXC is reduced in gliomas, indicating impaired cerebrovascular reactivity, while ALFF changes vary by tumor grade.

Keywords:
amplitude of low‐frequency fluctuationsgliomaglobal signalresting‐state functional MRI

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Area of Science:

  • Neuroimaging
  • Oncology
  • Biophysics

Background:

  • Gliomas are primary brain tumors with significant impact on brain function.
  • Hemodynamic alterations are key pathological features of gliomas.
  • Resting-state functional MRI (fMRI) offers insights into brain function and vascularity.

Purpose of the Study:

  • To characterize hemodynamic alterations in gliomas using global signal cross-correlation (GSXC) and amplitude of low-frequency fluctuations (ALFF).
  • To investigate the relationship between these metrics and glioma grade.
  • To explore the diagnostic potential of fMRI-derived metrics in glioma assessment.

Main Methods:

  • Analysis of resting-state fMRI data from 29 glioma patients.
  • Calculation of GSXC and ALFF, comparing tumor regions with contralateral homologous areas.
  • Application of linear mixed-effects models to assess the impact of tumor grade and measurement side.

Main Results:

  • GSXC was significantly reduced in glioma regions compared to the contralateral hemisphere across all grades.
  • ALFF was significantly lower in low-grade gliomas but showed no significant difference in high-grade gliomas.
  • These findings suggest distinct hemodynamic profiles associated with glioma grade.

Conclusions:

  • GSXC and ALFF provide complementary pathological information for glioma characterization.
  • Reduced GSXC indicates gliovascular uncoupling and impaired cerebrovascular reactivity.
  • ALFF variations may reflect differences in tumor vascularity, with potential increases in high-grade gliomas.