Quantitative assessment of demyelination in ischemic stroke in vivo using macromolecular proton fraction mapping

Marina Y Khodanovich1, Alena A Kisel1, Andrey E Akulov1,2

  • 11 Laboratory of Neurobiology, Tomsk State University, Tomsk, Russian Federation.

Insights

Fast macromolecular proton fraction (MPF) mapping accurately quantifies demyelination after stroke. This MRI technique shows strong correlation with histological markers, validating MPF as a key biomarker for ischemic stroke research.

Area of Science:

  • Neuroimaging
  • Stroke Research
  • Demyelination

Background:

  • Ischemic stroke causes demyelination, impacting neurological function.
  • Accurate quantification of demyelination is crucial for understanding stroke pathology and recovery.
  • Existing MRI methods require validation against histological markers.

Purpose of the Study:

  • To validate fast macromolecular proton fraction (MPF) mapping as an imaging biomarker for demyelination in a rat stroke model.
  • To compare MPF with other quantitative MRI parameters and histological markers of brain injury.
  • To assess the correlation between MPF and demyelination markers over time post-stroke.

Main Methods:

  • Utilized transient middle cerebral artery occlusion (MCAO) in rats.
  • Acquired quantitative MRI data, including MPF, T1, T2, proton density, and ADC.
  • Compared MRI parameters with histological stains (Luxol Fast Blue, Bielschowsky) and immunohistochemistry (NeuN, Iba1) at 1, 3, and 10 days post-MCAO.

Main Results:

  • MPF and Luxol Fast Blue (LFB) optical density were significantly reduced in the ischemic lesion compared to the contralateral hemisphere.
  • MPF and LFB optical density showed a strong correlation (R=0.81), validating MPF's ability to detect demyelination.
  • Incorporating T2 into regression analysis improved MPF-LFB agreement by correcting for edema.

Conclusions:

  • Fast macromolecular proton fraction (MPF) mapping is a validated imaging biomarker for demyelination in ischemic stroke.
  • MPF provides a reliable, non-invasive method for assessing demyelination severity.
  • This technique holds potential for clinical applications in stroke diagnosis and monitoring.

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