Top-down attentional modulation of analgesia induced by heterotopic noxious counterstimulation
Bibliographic record
Abstract
Heterotopic noxious counterstimulation (HNCS) by the application of a sustained noxious stimulus has been shown to inhibit nociceptive processes and decrease pain induced by a competing noxious stimulus. However, it is still not clear how attentional processes contribute to these effects. The main objective of this study was to compare the analgesic effects of HNCS in 2 sessions during which top-down attention was manipulated. Acute shock pain and the nociceptive flexion reflex were evoked by transcutaneous electrical stimulations of the right sural nerve in 4 blocks (15 stimuli/block): baseline, heterotopic innocuous counterstimulation (HICS), HNCS, and recovery. Counterstimulation was applied on the left upper limb with a thermode (HICS) or a cold pack (HNCS). Attention was manipulated between sessions by instructing participants to focus their attention on shock pain or counterstimulation. Shock pain ratings decreased significantly during counterstimulation (P<.001) with stronger effects of HNCS vs HICS in both sessions (P<.01). Furthermore, shock pain inhibition during HNCS relative to baseline was stronger with attention focusing on counterstimulation compared to attention focusing on shocks (P = .015). However, the relative decrease in pain ratings during HNCS vs HICS was not significantly affected by the direction of attention (P = .7). As for spinal nociceptive processes, nociceptive flexion reflex amplitude was significantly decreased during counterstimulation (P<.001) with larger reductions during HNCS compared to HICS (P = .03). However, these effects were not altered by attention (P = .35). Together, these results demonstrate that top-down attention and HNCS produce additive analgesic effects. However, attentional modulation of HNCS analgesia seems to depend on supraspinal processes.
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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 | 0.001 | 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) | 0.000 | 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".