Poster (Knowledge Generation) ID 1985240
Bibliographic record
Abstract
Background Following a spinal cord injury, there is a significant loss of monoamines below the lesion. In the rat model, exogenous administration of the serotonin precursor, 5-hydroxytryptophan (5HTP), increases neural excitability through augmentation of spinal serotonin levels. To determine whether this compensatory mechanism can be harnessed to restore serotonergic modulation in humans after SCI, participants visited the lab on four occasions where they received i) placebo, ii) carbidopa, iii) 50mg 5HTP+carbidopa, or iv) 100mg 5HTP+carbidopa in a randomized, crossover design. Cutaneomuscular reflexes (CMR) were obtained pre-drug and 30, 60, 90 and 120-min post-drug intake. Surface electromyography was also recorded during a pedalling movement pre- and post-drug. Results Nine participants with chronic, complete SCI (35.3±5.5 years) and four participants with chronic, incomplete SCI (47.0±19.7years) were enrolled. Following ingestion of 100mg 5HTP only, the short polysynaptic and long-lasting reflex components of the CMR were significantly increased by ∼ 86±61% and 58±17% respectively in individuals with complete SCI. No significant changes were noted in the cohort of individuals with incomplete SCI. Integrated EMG during pedalling was increased in multiple lower extremity muscles during the extension and flexion phases of the cycle following both 50-mg (82±15% and 51±7%) and 100-mg 5HTP (140±27% and 130±16%) in individuals with more severe injuries, but not in those with incomplete injuries. Conclusion Ingestion of 5HTP facilitates neural excitability and induces rhythmic muscle activity in previously inactive muscles during an assisted pedalling movement in individuals with chronic, complete SCI. This has significant clinical implications for rehabilitation after SCI.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.948 | 0.857 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".