Reduced pain inhibition is associated with reduced cognitive inhibition in healthy aging
Bibliographic record
Abstract
The analgesic effect of heterotopic noxious counter-stimulation (HNCS; "pain inhibits pain") has been shown to decrease in older persons, while some neuropsychological studies have suggested a reduction in cognitive inhibition with normal aging. Taken together, these findings may reflect a generalized reduction in inhibitory processes. The present study assessed whether the decline in the efficacy of pain inhibition processes is associated with decreased cognitive inhibition in older persons. Healthy young (18-46 years old; n=21) and older (56-75 years old; n=23) adult volunteers participated in one experimental session to assess the effect of HNCS (cold pain applied on the left forearm) on shock pain and RIII reflex induced by transcutaneous electrical stimulation of the right sural nerve. In the same session, participants also performed a modified Stroop task, including a target condition requiring the frequent switching between inhibition and no inhibition of the meaning of color words. The analgesic effect induced by HCNS was significantly smaller in older participants for both shock-pain ratings (P<0.001) and RIII-reflex amplitude (P<0.05). The Stroop effect was significantly larger in elderly participants in the inhibition trials of the switching condition. Increased cognitive interference (ie, larger Stroop effect) correlated with smaller inhibition of the RIII reflex by HNCS across groups (r=-.34, P=0.025). This association was independent from the age-related slowing observed in control reading and naming tasks. These results suggest a generalized age-related reduction in inhibitory processes affecting both executive functions and cerebrospinal processes involved in the regulation of pain-related responses induced by competing nociceptive threats.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".