A role for a persistent subthreshold K+ current in generating rhythm within larval zebrafish spinal locomotor circuits
Bibliographic record
Abstract
Spinal locomotor circuits have the intrinsic capability of producing the rhythmic activity needed to underlie repetitive locomotor movements. Locomotor rhythm generation can be shaped by the specific ionic conductances that spinal neurons express. Since the emergence of the larval zebrafish as an attractive vertebrate model to the study of locomotion, appreciable progress has been made in uncovering the cell types and connectivity patterns that make up zebrafish spinal locomotor circuits; however, little is known regarding their mechanisms for locomotor rhythm generation. IM, a persistent subthreshold potassium current, has been demonstrated to be involved in regulating neuronal bursting and recent evidence demonstrates that it is involved in locomotor rhythm generation in the neonatal rat. We sought out to determine whether IM could be involved in shaping the locomotor rhythm in larval zebrafish which, to our knowledge, has remained uninvestigated. Our ex vivo electrophysiological recordings of motor nerves during spontaneous swimming activity of 4 days post fertilization larvae in the presence of ICA-069673 and XE-991 - agonist and antagonist, respectively, of the IM-mediating Kv7.2/7.3 channels - reveal that IM may limit the amplitude and promote rhythmicity of tails beats produced during swimming activity. These findings further detail the mechanisms by which locomotor rhythm generation is governed in the larval zebrafish, highlighting that the role IM plays in locomotor rhythm generation may be similar across species.
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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".