Delayed Intervention with Intermittent Hypoxia and Task Training Improves Forelimb Function in a Rat Model of Cervical Spinal Injury
Bibliographic record
Abstract
The reduction of motor, sensory and autonomic function below the level of an incomplete spinal cord injury (SCI) has devastating consequences. One approach to restore function is to induce neural plasticity as a means of augmenting spontaneous functional recovery. Acute intermittent hypoxia (AIH-brief exposures to reduced O2 levels alternating with normal O2 levels) elicits plasticity in respiratory and nonrespiratory somatic spinal systems, including improvements in ladder walking performance in rats with incomplete SCI. Here, we determined whether delayed treatment with AIH, with or without concomitant motor training, could improve motor recovery in a rat model of incomplete cervical SCI. In a randomized, blinded, sham-controlled study, rats were exposed to AIH for 7 days beginning at 4 weeks post-SCI, after much spontaneous recovery on a horizontal ladder-crossing task had already occurred. For up to 2 months post-treatment, AIH-treated rats made fewer footslips on the ladder task compared with sham-treated rats. Importantly, concomitant ladder-specific motor training was needed to elicit AIH-induced improvements, such that AIH-treated SCI rats receiving no motor training or nontask-specific treadmill training during the treatment week did not show improvements over sham-treated rats with SCI. AIH treatment combined with task-specific training did not improve recovery on two different reach-to-grasp tasks, however, nor on tasks involving unskilled forepaw use. In brief, our results indicate that task-specific training is needed for AIH to improve ladder performance in a rat model of incomplete cervical SCI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".