Spontaneous locomotor recovery in spinal cord injured rats is accompanied by anatomical plasticity of reticulospinal fibers
Bibliographic record
Abstract
Although injured axons in mammalian spinal cords do not regenerate, some recovery of locomotor function following incomplete injury can be observed in patients and animal models. Following a lateral hemisection injury of the thoracic spinal cord, rats spontaneously recover weight-bearing stepping in the hind limb ipsilateral to the injury. The mechanisms behind this recovery are not completely understood. Plasticity in the reticulospinal tract (RtST), the tract responsible for the initiation of walking, has not been studied. In this study, rats received lateral thoracic hemisection of the spinal cord, and RtST projections were compared in two groups of rats, one early in recovery (7 days) and the other at a time point when weight-bearing stepping was fully regained (42 days). We found that this recovery occurs in parallel with increased numbers of collaterals of spared RtST fibers entering the intermediate lamina below the injury at L2. Sprouting of injured RtST fibers above the lesion was not found. In conclusion, our study suggests that sprouting of spared RtST fibers might be involved in the recovery of locomotion following incomplete spinal cord injury.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".