Evaluation of EEG as a reliable measure of pain: an experimental pain study
Bibliographic record
Abstract
Abstract Research is promising regarding the potential of Electroencephalography (EEG) for pain assessment, and this could have a positive impact for people unable to communciate their pain (pre-verbal children/people with cognitive decline). However, limitations regarding reliability and controls, limit conclusions. The aims of this research were to examine the potential of EEG to assess pain, by studying the reliability to measure pain across two acute pain experiences (somatic and ischemic) controlling for individual variability between the two pain experiences. Cold/somatic (cold pressor) and exercise/ischemic (submaximum effort tourniquet technique/SETT) methods of pain induction were applied in healthy participants (n=30), while EEG was continuously recorded (64-channel). Pain ratings were recorded (numerical rating scale/NRS/0-10; McGill Pain Questionnaire/SF-MPQ/0-45). MATLAB/Brainstorm, was used to apply source localization techniques to study differences between baseline and two pain types, for Delta (2-4Hz), Theta (5-7Hz), Alpha (8-12Hz), and Beta (13-29Hz). Average frequency power for each frequency was computed and the relationship between EEG frequencies and pain ratings were assessed. T-tests (FDR correction in Brainstorm/MATLAB) revealed significant differences between both pain conditions compared to the baseline for all four frequencies in primarily the central, parietal, and frontal regions. Correlations of subjective pain ratings (MPQ) with frequencies found significant correlations with Alpha power (r = .53, p = .001) for cold/somatic pain only. No other reliable associations were observed.View Large Image Figure ViewerDownload Hi-res image Download (PPT) Overall, results suggest promise for the utility of EEG to measure pain, specifically Alpha activity, with an effect size of .53, indicating a good relationship between Alpha activity and pain. Some inconsistency in the results found means the reliability of EEG to measure different pain experienced is not supported, and definitive conclusions cannot be made at this stage. This has implications for researchers and clinicians in pain, and neurological based interventions for pain (e.g., neurofeedback). Research Category and Technology and Methods Basic Research: 15. Electroencephalography (EEG) Keywords: Electroencephalography (EEG), Ischemic pain, Somatic pain, Experimental pain
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".