Spontaneous Spike Activity of Spinoreticular Tract Neurons During Sleep and Wakefulness
Bibliographic record
Abstract
Sleep mentation studies infer that pain sensation in humans may be reduced during active REM sleep. However, to provide a mechanistic explanation for this phenomenon, few, if any neurophysiological studies have been performed at the lumbar level from neurons comprising classical pain pathways during sleep and wakefulness. The spinoreticular tract is one such classical pathway that has been implicated in the rostral transmission of nociceptive information. The present study was performed to determine if the activity of spinoreticular tract (SRT) neurons is dependent upon behavioral state. Accordingly, extracellular recording techniques were used to monitor the activity of identified SRT neurons in unanesthetized chronic cats during sleep and wakefulness. The ongoing spike activity of SRT neurons was found to be relatively uniform when the states of quiet wakefulness and quiet sleep were compared. However, during active sleep, the majority of the SRT neurons sampled underwent a sustained reduction in spike activity. Marked facilitation of SRT cell activity occurred in a few instances. These data provide the first unitary evidence supporting earlier evoked potential, psychophysical and clinical studies that ascending sensory information in a classical pain pathway is regulated in a state-dependent fashion.
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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 | 0.000 |
| 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) | 0.001 | 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".