0920 NONREM SLEEP EEG SLOW WAVES IN CHILDREN WITH AUTISM
Bibliographic record
Abstract
Autism is a developmental disorder with a neurobiological etiology. Studies of the autistic brain point toward atypically organized brain networks which may lead to a lower capacity to synchronize the EEG during sleep. We compared the intrisic characteristics and topography of nonREM sleep EEG slow waves (SW) in autistic and neurotypical children. The sleep of 13 autistic boys (mean age = 10.23, SEM= 0.57) and 13 neurotypical boys (mean age = 10.23, SEM = 0.57) was recorded in a laboratory for 2 consecutive nights. None of the participants were medicated, intellectually disabled, nor complained of poor sleep. SW (0.3–3.99Hz, >75µV) were detected for the whole night with an automatic algorithm on artefact free sections of nonREM sleep in frontal, central, parietal and occipital derivations. Three-way Anovas with one independent factor (2 groups) and 2 repeated measures (4 derivations X 4 nonREM periods) were performed to compare SW density (number per minute of NREM sleep), SW slope (velocity between SW negative and positive peaks), SW amplitude (µV), and SW duration (sec). Significant interactions between Groups and Derivations were found for SW density (p<0.01), slope (p<0.05), amplitude (p<0.05) and duration (p<0.01) showing lower topographical (inter-derivations) differences in autistic than in neurotypical children. No interaction between Groups and nonREM periods were found, indicating that these differences were stable across the night. SW characteristics are more evenly distributed along the anteroposterior axis in autistic than in neurotypical children. These differences are not modulated by the dissipation of homeostatic sleep pressure across the night and probably reflect atypical cortical organization in autism. Canadian Institutes of Health Research and Kids Brain Health Network Canada
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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 | 0.000 |
| 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".