Effect of conditioned pain modulation on long-term potentiation-like pain amplification in humans
Bibliographic record
Abstract
Abstract Aim The current study aimed to explore the effect of conditioned pain modulation (CPM) on the long-term potentiation (LTP)-like pain amplification induced by peripheral 10 Hz conditioning electrical stimulation (CES). Methods Sensory changes and neurogenic inflammatory vas-cular reactions induced by 10 Hz CES were assessed in twenty subjects in a randomized crossover design involving two experimental days separated by at least one week. The CPM effect was activated by cold pressor test (CPT) (4 °C) which was applied immediately before the 10 Hz CES in the active session and 32 °C water was used in the control session. Perceptual intensity ratings to single electrical stimulation (SES) at the conditioned skin site and to mechanical stimuli (pinprick and light stroking) in the immediate vicinity of the electrode for CES were recorded. Superficial blood flow (SBF), skin temperature (ST), and heat pain threshold (HPT) were also measured. The pain intensities during the CES process were recorded and the short-form McGill Pain Questionnaire (SF-MPQ) was used for assessing the pain experience. Results CPT reduced the pain perception increments to pin-prick (12.8 g) and light stroking stimuli after 10 Hz CES compared to the control session. Moreover, CPT resulted in lower pain intensity ratings during the CES process but without significant changes in the SF-MPQ scores between the two sessions. The SBF and ST were found to increase after CES and then gradually decline but without differences between the CPT and the control sessions. No CPM effect was found for HPT and pain intensity increments to SES. Conclusions The cold pressor test inhibited heterotopic perception amplification to mechanical stimuli after conditioning electrical stimulation. The results indicate that endogenous descending inhibitory systems may affect pain-amplificatory mechanisms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".