Altered Sleep Mechanisms following Traumatic Brain Injury and Relation to Waking Function
Bibliographic record
Abstract
Sleep difficulties are commonly reported following traumatic brain injury (TBI), but few studies have systematically examined the neurophysiological characteristics of sleep. Sleep EEG was quantified over multiple nights to examine mechanisms underlying sleep disruption in individuals who had sustained a TBI and to explore the relationship between sleep disruption and waking function. Sleep was recorded from 20 individuals with a TBI (18-64 years) and 20 age-matched controls over two uninterrupted nights, as well as during a night where auditory stimuli were delivered. All participants underwent neuropsychological testing and waking performance assessment. Compared to controls, the TBI group had subjective complaints of falling asleep, delayed sleep onset on polysomnography (PSG), less Slow Wave (< 1 Hz) and delta (1-4 Hz) EEG power in non-REM sleep, fewer spontaneous and evoked k-complexes, reduced periodicity of spontaneous k-complexes, and lower amplitude of evoked k-complexes. While for controls, the density, duration and periodicity of sleep spindles diminished with deepening of non-REM as typically observed, this pattern was disrupted in the TBI group with peak spindle presentation occurring in Stage 3 sleep. Night-to-night-stability of Stage 2 spindles was high for controls but absent for the TBI group. Greater injury severity was related to fewer evoked k-complexes and lower spindle density. Greater spindle production predicted better waking function in the TBI group. Taken together, these data demonstrate impairment in sleep regulatory and inhibitory mechanisms as factors underlying sleep complaints following a TBI. Spindle generation may be adaptive or a marker of resiliency following TBI.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".