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Updated: Jul 26, 2025

Induction of Complete Transection-Type Spinal Cord Injury in Mice
Published on: May 6, 2020
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.
Abstract:
Multi-parametric MRI (mpMRI) technology enables non-invasive and quantitative assessments of the structural, molecular, and functional characteristics of various neurological diseases. Despite the recognized importance of studying spinal cord pathology, mpMRI applications in spinal cord research have been somewhat limited, partly due to technical challenges associated with spine imaging. However, advances in imaging techniques and improved image quality now allow longitudinal investigations of a comprehensive range of spinal cord pathological features by exploiting different endogenous MRI contrasts. This review summarizes the use of mpMRI techniques including blood oxygenation level-dependent (BOLD) functional MRI (fMRI), diffusion tensor imaging (DTI), quantitative magnetization transfer (qMT), and chemical exchange saturation transfer (CEST) MRI in monitoring different aspects of spinal cord pathology. These aspects include cyst formation and axonal disruption, demyelination and remyelination, changes in the excitability of spinal grey matter and the integrity of intrinsic functional circuits, and non-specific molecular changes associated with secondary injury and neuroinflammation. These approaches are illustrated with reference to a nonhuman primate (NHP) model of traumatic cervical spinal cord injuries (SCI). We highlight the benefits of using NHP SCI models to guide future studies of human spinal cord pathology, and demonstrate how mpMRI can capture distinctive features of spinal cord pathology that were previously inaccessible. Furthermore, the development of mechanism-based MRI biomarkers from mpMRI studies can provide clinically useful imaging indices for understanding the mechanisms by which injured spinal cords progress and repair. These biomarkers can assist in the diagnosis, prognosis, and evaluation of therapies for SCI patients, potentially leading to improved outcomes.
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.

