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Updated: May 27, 2025

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Scattering approach to diffusion quantifies axonal damage in brain injury.

Ali Abdollahzadeh1,2, Ricardo Coronado-Leija1, Hong-Hsi Lee3

  • 1Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.

Arxiv
|February 20, 2025
PubMed
Summary

Time-dependent diffusion MRI (dMRI) can detect early axonal changes at the micrometer scale, offering new biomarkers for neurological disorders. This method provides sensitive, noninvasive monitoring for conditions like traumatic brain injury.

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Area of Science:

  • Neuroimaging
  • Biophysics
  • Neurology

Background:

  • Early diagnosis of neurological disorders needs methods sensitive to subtle cellular changes.
  • Axonal morphology alterations, like varicosities, are linked to neurological conditions, development, and aging.
  • Current medical imaging lacks the resolution to detect these early, micrometer-scale changes.

Purpose of the Study:

  • To reveal the sensitivity of time-dependent diffusion MRI (dMRI) to axonal morphology at the micrometer scale.
  • To develop quantitative biomarkers for early detection and monitoring of neurological disorders.

Main Methods:

  • Utilized scattering theory to identify key parameters governing water diffusion dynamics within axons.
  • Developed and applied time-dependent diffusion MRI (dMRI) metrics sensitive to axonal morphology.
  • Validated the approach in a rat model of traumatic brain injury.

Main Results:

  • Identified two critical parameters: average reciprocal cross-section and variance of cross-sectional fluctuations.
  • Demonstrated dMRI's sensitivity to micrometer-scale axonal alterations across thousands of axons.
  • Achieved rapid prediction of dMRI metrics, contrasting with lengthy simulation times.

Conclusions:

  • Time-dependent dMRI offers a sensitive, noninvasive method for detecting early axonal changes.
  • The developed approach bridges the resolution gap between cellular and macroscopic imaging.
  • This provides objective, quantitative biomarkers applicable to a wide range of neurological disorders.