Disruption of Attention and Working Memory Traces in Individuals with Chronic Pain
Bibliographic record
Abstract
BACKGROUND: Research has found that chronic pain disrupts attention and that this disruption can lead to significant functional impairment and decreased quality of life. We conducted the present study to examine how attention and memory are disrupted by chronic pain. METHODS: Computerized tests of working memory were given to participants with chronic pain along with a neuropsychological test of attention before and after procedures resulting in analgesia. RESULTS: Two-thirds of participants with chronic pain had scores in the clinically impaired range on attentional tasks. These results were independent of age, education level, sleep disruption, and pain relief. Medication use was also recorded and is reported to account for potential effects of medication on task performance. Those participants with the highest level of impairment had significantly greater difficulties in maintaining a memory trace during a challenging test of working memory. CONCLUSIONS: These findings point to a specific cognitive mechanism, the maintenance of the memory trace, that is affected by chronic pain during task performance. Cognitive function was not improved by short-term local analgesia.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".