Sleep EEG as a Tool for Exploring Mechanisms of Schizophrenia
Bibliographic record
Abstract
Despite the extensive neuroimaging research investigating the neurodevelopmental mechanisms of schizophrenia, to date we have a limited understanding about how schizophrenia develops. Feinberg’s (1982) popular neurodevelopmental model proposes that excessive synaptic pruning during adolescence as indexed by the loss of delta brain-wave activity (EEG) in non-rapid eye movement (NREM) sleep may underlie the pathophysiology to schizophrenia. Several studies have shown that the amplitude and incidence of delta wave EEG are disrupted in stage 3 sleep in schizophrenia. However, little research has investigated sleep EEG in adolescents who are at high risk for transitioning into psychosis. The current paper reviews recent longitudinal findings documenting the normal rate of delta EEG changes over the childhood and adolescent periods and proposes a sleep EEG study that can help inform how schizophrenia develops in adolescence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".