Characterization of REM-Sleep Associated Ponto-Geniculo-Occipital Waves in the Human Pons
Bibliographic record
Abstract
STUDY OBJECTIVES: Ponto-geniculo-occipital (PGO) waves are phasic pontine, lateral geniculate, and cortical field potentials occurring during and before REM sleep that are proposed to mediate a wide variety of sleep related neural processes. We sought to identify and characterize human PGO waves. DESIGN: We recorded simultaneously from intrapontine depth electrodes and scalp electrodes in a human subject across sleep states. SETTING: Tertiary care neurological and neurosurgical referral center. PATIENTS OR PARTICIPANTS: We studied a patient involved in a study of the clinical effects of unilateral pedunculopontine nucleus (PPN) stimulation on Parkinson disease (PD). INTERVENTIONS: No interventions. MEASUREMENTS AND RESULTS: We recorded phasic potentials from the human pons occurring during and before REM sleep with a morphology, temporal distribution, and localization similar to those of PGO waves in other mammals. The source of these potentials was localized to a circumscribed region of the pontomesencephalic tegmentum. These potentials were only incompletely associated with eye movements. They were followed by characteristic cortical potentials with a latency of 20-140 msec. CONCLUSIONS: We conclude that PGO waves are a feature of human REM sleep, that they are generated or propagated in the pontomesencephalic tegmentum, that they are only partially associated with eye movements, and that they are associated with characteristic changes in cortical activity.
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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 | 0.000 | 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".