DETECTION OF P300 AND ITS SIGNIFICANCE IN PATIENTS WITH NON-DEMENTIA VASCULAR COGNITIVE IMPAIRMENT
Bibliographic record
Abstract
Objective To study the characteristics of auditory event-related potential P300 of patients with non-dementia vascular cognitive impairment(VCI),and explore the value of P300 in the early diagnosis of VCI.Methods A total of 57 VCI patients and 30 healthy volunteers were recruited in this study.Their activity of daily living(ADL),metal status examination(MSE),and MoCA scale were detected by auditory-P300.The correlation between P300 and imaging characteristics,education,or age was analyzed.Results The P300 latency in the patients was longer than that in normal group,and the amplitude was lower(t=2.723,2.244;P0.05),more notable being the prolong of latency(t=2.148-2.436,P0.05).The total scores of BI,MSE,MoCA and ADL(Barther Index) in the patients were lower than that in normal group,while the differences between the two groups in respects of domination,speech,and orientation force were not significant(P0.05).P300 was positively correlated with age(r=0.323,P0.05),and negatively correlated with years of education(r=-0.359,P0.05).Conclusion P300 is more sensitive than Cognitive Assessment Scale in objectively reflecting early cognitive dysfunction in patients with non-dementia VCI.
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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".