Sensitivity to myelin using model-free analysis of the water resonance line-shape in postmortem mouse brain

Sean Foxley1, Gregg Wildenberg2, Vandana Sampathkumar2

  • 1Department of Radiology, University of Chicago, Chicago, Illinois, USA.

Abstract

Insights

This study shows that MRI water spectra can detect myelin differences in mouse brains, suggesting a new biomarker for dysmyelinating diseases without complex models.

Area of Science:

  • Neuroimaging
  • Biomarker Discovery
  • Myelin Biology

Background:

  • Dysmyelinating diseases involve abnormal myelin formation and function.
  • These abnormalities impact the magnetic resonance (MR) signal.
  • Investigating these MR signal effects is crucial for understanding disease mechanisms.

Purpose of the Study:

  • To examine the effects of myelin abnormalities on voxel-wise, high-resolution water spectra.
  • To compare these spectral measurements between control and dysmyelination mouse brain models.
  • To assess the potential of water spectra as an MRI-based biomarker for dysmyelinating diseases.

Main Methods:

  • Utilized 3D echo-planar spectroscopic imaging (EPSI) with 100 µm isotropic resolution on control (n=5) and shiverer (n=4) mouse brains.
  • Acquired free induction decay (FID) data over 192 echoes (526.08 ms total sampling duration).
  • Computed and compared spectral asymmetry from voxel-wise FIDs after Fourier transformation.

Main Results:

  • White matter water resonance showed greater asymmetry in control brains compared to dysmyelinated brains.
  • Orientation-dependent effects on white matter resonance were observed in both groups.
  • The magnitude of resonance asymmetry was significantly lower in dysmyelinated white matter across all orientations.

Conclusions:

  • Components of water proton spectra are differentially affected by myelin concentration.
  • Water proton spectra show sensitivity to myelin presence, indicating potential as an MRI biomarker.
  • This approach may offer a model-free method for diagnosing dysmyelinating diseases.

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