The Features of Event-Related Potential P300 in Patients with Different Stages of Vascular Cognitive Impairment
Bibliographic record
Abstract
Objective: To investigate the features of ERP-P300 in different stages of VCI and provide objective foundations for the early diagnosis of VCI. Methods: Fifty patients with VaD and 50 patients with VCIND were selected according to diagnostic standard of VCI,and ischemic cerebrovascular disease patients with normal cognition as a control group. Auditory ERP-P300 were studied separately. Results: (1)Compared with VCIND and control group,the latencies of N200,P300 and intervals of P200-N200,N200-P300 were obviously prolonged in VaD group. Compared with the control group,the latency of P300 and interval of N200-P300 in VCIND group were prolonged,the differences had statistical significance(P 0.01).(2)In all patients the latencies of N200 and P300 had no correlation with sex,but had a negative correlation with a cognitixe assessment-MMSE score,the latency of P300 had a positive correlation with age. Conclusion: The features of ERP-P300 in VCIND are prolonged latency of P300 and the intervals of N200-P300,and reduced amplitude of P300. In VaD the latency of N200 and the intervals of P200-N200 are prolonged excluded the character of VCIND. ERP-P300 has a diagnosis value for VCI patients.
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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".