Polysomnography, brain volumetry, and mismatch negativity as early biomarkers of amnestic mild cognitive impairment progression
Bibliographic record
Abstract
Mild cognitive impairment (MCI) is a heterogenous disorder in which a proportion of patients follow stationary or regressive courses while others undergo clinical progression to dementia. This study was conducted on 60 amnestic mild cognitive impairment (amMCI) and 20 healthy control subjects submitted to baseline Montreal Cognitive Assessment (MoCA) scale, one-night polysomnography (PSG), hippocampal/entorhinal cortex (HPC/ERC) MRI volumetry, and auditory mismatch negativity (MMN). Fifty-six amMCI subjects continued the study and underwent follow-up MoCA scale 1 year after their baseline evaluation, 17 showed amMCI progression (≥ 3 points decrease in MoCA scale), and 39 had stationary or regressive courses. Progressive amMCI patients showed reduced sleep efficiency and shortened rapid eye movement (REM) sleep in PSG, decreased HPC/ERC–MRI volumetry and reduced amplitudes with delayed latencies of the MMN evoked potentials. PSG shortened REM sleep, MRI–HPC/ERC volumes reduction, and low amplitude delayed auditory MMN are valuable non-invasive screening predictors of amMCI progression.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".