Study on the Cognitive Function in the Newly Diagnosed Juvenile Myoclonic Epilepsy
Bibliographic record
Abstract
Objective To study the cognitive function in newly diagnosed juvenile myoclonic epilepsy and estimate the affecting factors to the cognitive function.Methods 22 newly diagnosed patients with juvenile myoclonic epilepsy and 22 healthy volunteers were tested by 5 neuropsychological tests(Auditory verbal memory test,Verbal fluency test,Trail making test,the Stroop test,Digit span test),two emotional tests(self-rating anxiety scale(SAS),self-rating depression scale(SDS)) and one intelligence test(mini-mental state examination,MMSE) to examined the relation between the scores of neuropsychological tests and the risk factors by using Pearson′s correlation test.Results Compared with healthy volunteers,the newly diagnosed patients with juvenile myoclonic epilepsy exhibited worse performances in the immediately and delayed recall(P0.01),recognition task(P0.01),verbal fluency(P0.01),time of reading words and color in the Stroop-test(P0.01),forward and backward digit spans(P0.01).The scores of the MMSE test,SAS and SDS did not differ significantly between the two groups(P0.05).There were significant correlations between verbal memory and onset age.When compared with the newly diagnosed patients(t=0.450,P0.05).The patients with intricate epileptic form showed lower score in the immediately and delayed recall of auditory verbal learning test(P0.05),there were no statistical differences in the attention and executive function.Conclusion The newly diagnosed patients with juvenile myoclonic epilepsy may exhibit impaired cognitive function in terms of memory,attention and execution,while having normal intelligence and mood.
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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) | 0.001 | 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".