Representation of Acute and Persistent Pain in the Human CNS: Potential Implications for Chemical Intolerance
Bibliographic record
Abstract
The study of pain may be relevant to the study of chemical intolerance (CI) in many ways. Pain is often reported as a symptom of CI and it is defined as a subjective experience similar to many other symptoms of CI, making its objectification difficult. Furthermore, the CNS plastic changes that underlie the development of persistent pain states and abnormal pain responses may share some similarities with those involved in the sensitization to environmental chemicals. Functional brain imaging studies in humans demonstrate that acute pain evoked by nociceptive stimulation is accompanied by the activation of a widely distributed network of cerebral structures, including the thalamus and the somatosensory, insular, and anterior cingulate cortices. Abnormal activity within these regions has been associated with the experience of pain following damage to the peripheral or central nervous system (neuropathic pain) in a number of clinical populations. In normal individuals, activity within this network is correlated with subjective pain perception, is highly modifiable by cognitive interventions such as hypnosis and attention, and has been associated with emotions. Other cognitive mediators such as expectations can also produce robust changes in pain perception (e.g., in placebo analgesia). These effects likely depend on both higher-order cerebral structures and descending mechanisms modulating spinal nociceptive activity. These psychological processes can be solicited to reduce clinical pain and we speculate that they may further attenuate or promote central mechanisms involved in the transition from acute to persistent pain states. The investigation of central determinants of subjective experience is essential to assess the possibility that higher-order brain/psychological processes modulate and/or mediate the development of persistent pain states. These factors may contribute to the development of symptoms in CI.
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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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".