Changes in spinal cord architecture after brachial plexus injury in the newborn
Bibliographic record
Abstract
Obstetric brachial plexus palsy is a devastating birth injury. While many children recover spontaneously, 20-25% are left with a permanent impairment of the affected limb. So far, concepts of pathology and recovery have focused on the injury of the peripheral nerve. Proximal nerve injury at birth, however, leads to massive injury-induced motoneuron loss in corresponding motoneuron pools and therefore limits the extent of functional recovery. In the present study, the role of spinal cord plasticity after injury and recovery from obstetric brachial plexus lesions was investigated. A selective injury to spinal roots C5 and C6 was induced in newborn Sprague-Dawley rats, leading to motoneuron loss in corresponding motoneuron pools. Recovery of extremity function was evaluated with different behavioural paradigms. Permanent changes of adjacent motoneuron pools were quantitatively evaluated by retrograde tracing and functional muscle testing. We report that the adjacent C7 motoneuron contribution to biceps muscle innervation increased four-fold after upper trunk lesions in newborns, thus compensating for the injury-induced motoneuron loss. These results indicate that, in obstetric brachial plexus palsy, changes in spinal cord architecture are an integral part not only of primary pathology but also of the subsequent recovery process. While present treatment is directed towards the restoration of neural continuity, future treatment strategies must recognize and take advantage of CNS participation in the injury and recovery process.
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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) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".