Feature of cognitive dysfunction in patients with temporal lobe epilepsy and its clinical influencing factors.
Bibliographic record
Abstract
OBJECTIVES: To comprehensively analyze the characteristics of cognitive impairment of temporal lobe epilepsy (TLE), and to explore the effects of different lateral patients' cognitive impairment and different clinical factors on cognitive impairment of TLE. METHODS: A total of 84 patients, who met the diagnostic criteria for TLE in the Department of Neurology, Xiangya Hospital, were collected as a patient group, with 36 cases of left TLE and 48 cases of right TLE. A total of 79 healthy volunteers with matching gender, age and education level were selected as a control group. The Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and the scores of Arithmetic Test, Information Test, Digit Symbol Substitution Test (DSST), Block Design Test (BDT), Hayling Test and Verbal Fluency Test (VFT) of the revised Chinese Adult Wechsler Intelligence scale were retrospectively analyzed in the 2 groups.Multiple regression analysis was used to analyze the relationship between the clinical factors and the cognitive impairment score. RESULTS: <0.05). In the left TLE, there were low scores in Information Test, arithmetic, VFT, the completion time of Hayling Test part A, the completion time of Hayling Test part B, the correct number of Hayling Test part A, the correct number of Hayling Test part B, BDT, Forward Digit Span Test (FDST) and Backward Digit Span Test (BDST). While in the right TLE, there were low scores in Information Test, arithmetic, DSST, VFT, the completion time of Hayling Test part A, the correct number of Hayling Test part A, the completion time of Hayling Test part B, the correct number of Hayling Test part B, BDT, FDST and BDST. CONCLUSIONS: There are multiple cognitive domain dysfunctions in TLE, including language, short-term memory, long-term memory, attention, working memory, executive function and visual space function. Left TLE has greater impairment of executive function and right TLE has greater damage in working memory. Long pathography of disease, hippocampal sclerosis and a history of febrile convulsions may lead to more severe cognitive impairment. Earlier identification and earlier intervention are needed to improve prognosis of 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".