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Updated: Apr 28, 2026

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A Contusive Model of Unilateral Cervical Spinal Cord Injury Using the Infinite Horizon Impactor
Published on: July 24, 2012
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Spinal cord injury models: a review.
T Cheriyan1, D J Ryan1, J H Weinreb1
1Department of Orthopaedic Surgery, Hospital for Joint Diseases, New York Langone Medical Center, New York, NY, USA.
Spinal Cord
|June 11, 2014
Summary
Animal models of spinal cord injury (SCI) are crucial for understanding injury mechanisms and testing therapies. Recent advancements in established and novel SCI models promise significant progress in SCI research.
Area of Science:
- Neuroscience
- Regenerative Medicine
- Biomedical Engineering
Background:
- Animal models are essential for studying spinal cord injury (SCI) mechanisms and therapeutic interventions.
- Significant progress has been made over 25 years in developing consistent and reproducible animal SCI models.
Purpose of the Study:
- To consolidate current knowledge on existing spinal cord injury (SCI) models.
- To introduce novel and emerging paradigms in SCI model development.
Main Methods:
- This review categorizes SCI models based on injury mechanisms: contusion, compression, distraction, dislocation, transection, and chemical induction.
- Specific devices and techniques for each model type are described, including weight-drop, electromagnetic impactors, controlled stretching, vertebral displacement, surgical transection, and chemical agents.
- The review discusses the suitability of different species, noting rodents for preliminary studies and larger animals/primates for approximating human SCI.
Main Results:
- Contusion models use weight-drop, impactors, or air pressure for acute injury.
- Compression, distraction, and dislocation models utilize mechanical forces to induce graded SCI.
- Transection models are valuable for regenerative medicine, while chemical models replicate secondary injury cascades.
Conclusions:
- All spinal cord injury (SCI) models strive to accurately replicate human SCI.
- Improvements in existing models and the development of new paradigms are expected to drive future advancements in SCI research.
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