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Hemodynamic response function description in patients with glioma.

Stéren Chabert1, Rodrigo Salas1, Erika Cantor2

  • 1School of Biomedical Engineering, Universidad de Valparaiso, General Cruz 222, Valparaiso, Chile; Millennium Science Initiative Intelligent Healthcare Engineering, Santiago, Chile.

Journal of Neuroradiology = Journal De Neuroradiologie
|October 7, 2023
PubMed
Summary

This study describes the hemodynamic response function (HRF) in glioma patients, finding small but significant variations. These HRF changes in functional magnetic resonance imaging (fMRI) are unlikely to impact most functional maps.

Keywords:
Functional MRIGliomaHemodynamic response function

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Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Oncology

Background:

  • Functional magnetic resonance imaging (fMRI) is crucial for cognitive science insights.
  • Reliability concerns exist for fMRI in patient applications due to reliance on canonical hemodynamic response function (HRF).
  • Neurovascular uncoupling is reported in glioma patients, yet specific HRF characteristics remain undescribed.

Purpose of the Study:

  • To characterize the hemodynamic response function (HRF) in patients with glioma.
  • To investigate how glioma presence and grade influence HRF parameters.

Main Methods:

  • Forty patients with glioma underwent fMRI on a 1.5T scanner.
  • Activated clusters were identified using a fuzzy general linear model; HRFs were fitted with a double-gamma function.
  • Analyses considered tumor grade, age, sex, tumor location, and activated location.

Main Results:

  • Glioma presence slowed time-to-peak and onset times by 5.2% and 3.8%, respectively.
  • High-grade gliomas exhibited 8.1% smaller HRF widths compared to low-grade gliomas.
  • Significant HRF variations were observed in occipital, limbic, insular, and sub-lobar areas, but not in frontal, temporal, or parietal lobes.

Conclusions:

  • Glioma presence induces minor but significant HRF variations.
  • Most fMRI processing pipelines should accommodate these HRF changes, with minimal impact on functional maps.
  • Observed discrepancies between fMRI and direct electrostimulation mapping likely stem from differing detection mechanisms, not HRF variations.