Longitudinal multiparametric MRI of traumatic spinal cord injury in animal models

Li Min Chen1, Feng Wang1, Arabinda Mishra1

  • 1Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.

PubMed

Insights

Multi-parametric MRI (mpMRI) advances spinal cord research by enabling detailed, non-invasive assessments. This technology captures previously inaccessible spinal cord pathology features, aiding diagnosis and therapy evaluation for spinal cord injuries.

Area of Science:

  • Neuroimaging
  • Spinal Cord Pathology
  • Biomarker Development

Background:

  • Multi-parametric MRI (mpMRI) offers non-invasive, quantitative assessment of neurological diseases.
  • Spinal cord research using mpMRI has been limited by technical imaging challenges.
  • Recent advances enable comprehensive longitudinal spinal cord pathology investigations.

Purpose of the Study:

  • To review the application of mpMRI techniques in monitoring spinal cord pathology.
  • To highlight the utility of nonhuman primate (NHP) models for studying spinal cord injury (SCI).
  • To demonstrate the potential of mpMRI-derived biomarkers for clinical applications in SCI.

Main Methods:

  • Review of mpMRI techniques: BOLD fMRI, DTI, qMT, and CEST MRI.
  • Illustration using a nonhuman primate (NHP) model of traumatic cervical spinal cord injuries (SCI).
  • Focus on monitoring cyst formation, axonal disruption, demyelination/remyelination, grey matter excitability, functional circuits, and neuroinflammation.

Main Results:

  • mpMRI can capture distinctive spinal cord pathology features previously inaccessible.
  • NHP SCI models are valuable for guiding future human spinal cord pathology studies.
  • mpMRI enables detailed monitoring of structural, molecular, and functional changes post-injury.

Conclusions:

  • mpMRI techniques provide powerful tools for understanding spinal cord injury mechanisms.
  • Development of mechanism-based MRI biomarkers can yield clinically useful imaging indices.
  • These biomarkers can significantly aid in the diagnosis, prognosis, and therapy evaluation for SCI patients.

Related Concept Videos