A New Acute Impact-Compression Lumbar Spinal Cord Injury Model in the Rodent
Bibliographic record
Abstract
Traumatic injury to the lumbar spinal cord results in complex central and peripheral nervous tissue damage causing significant neurobehavioral deficits and personal/social adversity. Although lumbar cord injuries are common in humans, there are few clinically relevant models of lumbar spinal cord injury (SCI). This article describes a novel lumbar SCI model in the rat. The effects of moderate (20 g), moderate-to-severe (26 g) and severe (35 g, and 56 g) clip impact-compression injuries at the lumbar spinal cord level L1-L2 (vertebral level T11-T12) were assessed using several neurobehavioral, neuroanatomical, and electrophysiological outcome measures. Lesions were generated after meticulous anatomical landmarking using microCT, followed by laminectomy and extradural inclusion of central and radicular elements to generate a traumatic SCI. Clinically relevant outcomes, such as MR and ultrasound imaging, were paired with robust morphometry. Analysis of the lesional tissue demonstrated that pronounced tissue loss and cavitation occur throughout the acute to chronic phases of injury. Behavioral testing revealed significant deficits in locomotion, with no evidence of hindlimb weight-bearing or hindlimb-forelimb coordination in any injured group. Evaluation of sensory outcomes revealed highly pathological alterations including mechanical allodynia and thermal hyperalgesia indicated by increasing avoidance responses and decreasing latency in the tail-flick test. Deficits in spinal tracts were confirmed by electrophysiology showing increased latency and decreased amplitude of both sensory and motor evoked potentials (SEP/MEP), and increased plantar H-reflex indicating an increase in motor neuron excitability. This is a comprehensive lumbar SCI model and should be useful for evaluation of translationally oriented pre-clinical therapies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".