Investigating the Effect of Capsaicin-Induced Central Sensitization on Contralateral Motor Unit Excitation in Healthy Females
Bibliographic record
Abstract
Central sensitization (CSens) is a key mechanism underlying pain hypersensitivity in chronic pain, yet its effects on motor function remain poorly understood. This study investigated the impact of CSens on motor unit (MU) behavior in healthy females, with a focus on contralateral adaptations. Twenty-three participants underwent three conditions: baseline, acute noxious stimulus (ice), and CSens induction (capsaicin). Sensory outcomes included visual analogue scores, pressure pain thresholds, and brush allodynia, while MU outcomes were derived from high-density surface EMG with MU tracking. Effects of endogenous pain modulation were considered, grouping participants into facilitatory and inhibitory groups. During CSens, reduced pressure pain thresholds were the only sensory change evident contralaterally. MU firing rates, interspike intervals, recruitment and derecruitment thresholds were found to be altered on ipsilateral and contralateral sides during CSens, with variability depending on endogenous pain modulation groups. These findings highlight the bilateral motor effects of CSens as determined through surface EMG.
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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) | 0.004 | 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".