Role for serotonergic neurons of the parapyramidal region in the control of locomotion revealed using chemogenetic activation in Tph2-cre driver rats
Bibliographic record
Abstract
Several brainstem regions are necessary to provide transmission of a descending signal to motor networks within the lower the limbs. The Parapyramidal region (PPR) within the ventrolateral medulla appears to play an important but yet unspecified role in locomotion. The recent advent of DREADDs (Designer Receptors Exclusively Activated by Designer Drugs) has allowed for non-invasive in vivo manipulation of neurons. DREADDs were stereotaxically injected into the PPR using adeno-associated viral vectors (AAVs). After a recovery period, rats were tested in both voluntary (open field) and fictive locomotion experiments to evaluate motor activity after administration of the DREADD actuator. Immunohistochemical detection confirmed DREADDs within the PPR. Locomotor activity increased significantly (172%) after DREADD activation during open field locomotor testing. With electrical stimulation, burst duration was significantly increased (174%) in flexor hindlimb nerves. Chemogenetic activation of the PPR seems to facilitate hindlimb motor output but specific effects on fictive locomotion were inconclusive.
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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) | 0.003 | 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".