Grand Total EEG as a Predictive Biomarker for Cognitive Impairment Severity in Cerebral Infarcts of Chinese
Bibliographic record
Abstract
Cerebral infarct (CI) is a common disease of older adults, which increases the risk for cognitive impairment or dementia. CI-associated mild cognitive impairment is a potential prodromal stage of serious cognitive impairment. The grand total EEG (GTE) score is a rating scale for clinical electroencephalography (EEG) analyses, which is useful in the evaluation of different types of cognitive impairment. Sixty-five patients with CI underwent neuropsychological testing and resting state EEG. Spearman rank correlation analysis was used to investigate the relationship between a short version of the GTE score and severity of cognitive impairment in CI. Significant correlations with deteriorating cognition (combined Montreal Cognitive Assessment/clock drawing test) were found for the overall short GTE score (Spearman rank correlation, p = -0.61, r = -0.88491, P = 0.009) and for the subscore "Frequency of Rhythmic Background Activity" (p = -0.63, r = -0.92559, P = 0.007). In conclusion, the GTE short score and Frequency of Rhythmic Background Activity were increased with the deteriorating cognitive impairment in patients with CI.
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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 | 0.004 |
| 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 | 0.001 |
| 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".