Comparisons between SPECT and Quantitative EEG Measures of Cortical Impairment in Mild to Moderate Alzheimer’s Disease
Bibliographic record
Abstract
This study aimed at examining correlations between quantitative REM sleep EEG, regional cerebral blood flow measured by single photon emission computerized tomography (SPECT) and global cognitive functioning in nine patients with mild to moderate Alzheimer's disease. REM sleep EEG was not correlated with SPECT measures in any of the 6 regions studied. However, degrees of interhemispheric asymmetry calculated by both measures were concordant for the parieto-occipital region. Mini-mental state score correlated with REM sleep EEG slowing for left frontal, left and right parieto-occipital and left temporal regions but was not correlated with SPECT measures for any of the six regions. These results suggest that quantitative REM sleep EEG would be more useful than SPECT for evaluating cerebral dysfunctions in mild to moderate Alzheimer's disease.
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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 | 0.002 |
| 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".