0403 DREAM CONTENT AND CORTICAL ACTIVITY DURING REM SLEEP IN INSOMNIA INDIVIDUALS
Bibliographic record
Abstract
Current models of insomnia suggest that cortical hyperarousal is one of its core feature. Greater activation in beta and alpha frequencies during the night and greater negative dream content in insomnia sufferers (INS) than in good sleeper (GS) have been found. However, it remains unknown if there is a relationship between cortical activation and oneiric content. Thus, we aim at: 1) comparing negative, positive and active elements in INS and GS’ dreams, 2) measuring cortical activity in REM in both groups and 3) examining the link between cortical arousal and dream content across successive REM periods. PSG was recorded in 12 INS (mean age 37.5 years, SD=4.3) and 12 GS (mean age 37.3 years, SD=4.7) for five consecutive nights (N1 to N5). On N3 and N5, participants were awoken in REM sleep for dream collection. The Hall & Van de Castle scale was used for dream content analysis. PSA was conducted on the 5 minutes period before the awakening for dream collection. Generalized linear mixed regression model showed no significant effect for group, REM periods and interaction on negative and positive elements of dream content (p>0.05). However, a significant interaction of group and REM periods on activity elements of dreams (p=0.04) was found, GS presenting more activity elements at the end of the night than INS. No significant group effects on cortical activation were found (p≥0.05). Nonetheless, a significant effect of REM period was observed, both beta and alpha activity decreasing throughout the night (p<0,001). Finally, no link between cortical activity and dream content was observed. The absence of beta and alpha increases in INS might suggest that spectral analysis is not optimal to study hyperarousal in INS during REM sleep. However, because cortical activation is already very high during REM, more activity in high frequencies can be linked to awakening or sleep fragmentation. Because a greater number of elements of activity is observed in dreams of GS, it might suggest that INS are more focused on negative elements in their dreams than GS. Fonds de recherche du Québec - Santé (FRSQ).
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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 | 0.000 | 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 | 0.001 |
| 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".