Rôle du Ca<sup>2+</sup>dans la propriété de type<i>pacemaker</i>des motoneurones spinaux
Bibliographic record
Abstract
It is generally accepted that locomotion in vertebrate species is produced by signals coded and integrated by neurons of the spinal cord. In fact, the basic features of locomotion, including patterns and rhythms, are generated by a network of neurons called the CPG (central pattern generator) essentially localized in the lumbar segments of the spinal cord. However, the detailed mechanisms underlying the rhythmic aspect of CPG-generated locomotion are not fully understood. Here, we report data of studies that focus on the role of Ca(2+)-related mechanisms involved in the expression of the pacemaker property of lumbar motoneurons that innervate the hindlimbs. In fact, it has become increasingly clear that Ca(2+) plays a determinant function in the expression of this active and conditional rhythmic property. In addition to NMDA-mediated currents (NMDA is an agonist of the calcium permeable ionotropic glutamatergic receptor) and to a Ca(2+)-dependent K(+) current that were found twenty years ago to contribute to intrinsic voltage oscillations in motoneurons, a pivotal role for voltage-gated channels (e.g., CaV1.3) and intracellular Ca(2+) concentrations ([Ca(2+)]i) have recently been shown. Increasing evidence of a role for metabotropic receptor subtypes, calmodulin (a calcium binding protein), ryanodine and IP3-sensitive intracellular stores of Ca(2+) suggests that additional mechanisms are yet to be identified. A detailed understanding of the complex role of Ca(2+) in mediating the auto-rhythmic property of spinal neurons may contribute to the development of novel therapeutic approaches to induce locomotion after spinal cord 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".