Cervical motoneuron topography reflects the proximodistal organization of muscles and movements of the rat forelimb: A retrograde carbocyanine dye analysis
Bibliographic record
Abstract
Behavioral evidence reveals that the laboratory rat and other rodent species display skilled paw and digit use in handling food during eating and skilled limb use in reaching for food in formal laboratory skilled reaching tests that is comparable to that described in carnivores and primates. Because less is known about the central control of skilled movements in rodents than in carnivores or primates, the purpose of the current study was to examine the relation between the rat's spinal motoneurons and the individual forelimb muscles that they innervate. In two experiments, 14 forelimb muscles (in the shoulder and the upper and lower arm segments) were injected with carbocyanine dye tracers. The topography of spinal motoneurons was reconstructed by using fluorescence microscopy. Motor neurons were found to be organized in columns throughout the length of the cervical and upper thoracic area, with 1) extensor motoneurons located more laterally than flexor motoneurons, 2) rostral motoneurons innervating more proximal muscles than caudal motoneurons, and 3) more dorsally located motoneurons innervating more distal muscles. These results reveal that the topography of rodent cervical spinal cord motoneurons is very similar to that of carnivores and of primates, which also are characterized by well-developed, skilled movements. In addition, the proximal-distal organization of motoneuron columns parallels the proximal-to-distal pattern of forelimb movement used by the rat when reaching. The data from this study enable the development of predictions about the specific movements that would be compromised by experimental transections or other injuries at different levels of the spinal cord in rat models of spinal injury.
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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) | 0.002 | 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".