0215 The Importance of REM Sleep in Risk-taking Behavior: A Direct Link.
Bibliographic record
Abstract
Studies suggest that REM sleep is important for the maintenance of prefrontal cortex functioning. Therefore, reducing REM sleep duration may have an impact on cognitive functions such as impulse control and decision-making processes. This study examined the association between impulsiveness personality trait, REM sleep and performance on a risk-taking task, the Iowa Gambling Task (IGT), before and after partial sleep deprivation (PSD) of the second half of the night, in which REM sleep is more prominent. Eighteen subjects (12 men; 18-33y) participated in two counterbalanced conditions: a control (habitual bedtime and wake-time) and a 50% PSD with an advanced wake-time. Impulsiveness personality trait was measured with a personality inventory (NEO-PI-3) in a preliminary session. Sleep was assessed using standard polysomnography. The IGT was completed following each sleep condition. T-tests were used to assess the difference in %REM between conditions. Correlations between impulsiveness, sleep stages, and IGT’s % of risky choices (%Risk) were then calculated. Finally, a multiple linear regression model was performed to examine the unique contribution of each variable to the risk-taking behavior. There was significantly less %REM in the PSD condition than in the control condition (14.16%±2.92 vs 22.57%±4.65, respectively; t=8.30,p<.001). %REM was associated with %Risk in the PSD and control condition (r=-.60,p<.05 and r=-.65,p<.01, respectively), suggesting that a lower %REM is associated with greater risk-taking behavior independently of the amount of sleep. Impulsiveness was positively associated with %Risk in the control condition only (r=.64,p<.01). Multiple linear regression modeling for the control condition demonstrated that impulsiveness and %REM collectively explained 71.5% of the variance in %Risk (p<.001). %REM was the largest predictor ( β =-.59,p<.001) of %Risk, followed by impulsiveness ( β =.58,p<.001). These findings suggest that, even though impulsiveness (as a personality trait) is linked to risk-taking behaviors, the relative amount of REM sleep seems to also be a determinant factor in those behaviors, no matter how many hours of sleep is present. This supports previous studies suggesting that REM sleep plays an important role in maintaining prefrontal cortex functioning. No
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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) | 0.002 | 0.001 |
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".