Kognitív funkciók felmérése gyógyszerrezisztens epilepsziás betegek körében
Bibliographic record
Abstract
Background and purpose: During an epileptic seizure, cortical neurons produce patterns of excessive synchronized electric discharge, which leads to various neurobio- logical, cognitive, and affective consequenc- es. At least 70% of epileptic patients can be characterized by varying degrees of cogni- tive deficits that may extend to language, executive functions and memory functioning. Drug-refractory epilepsy (DRE), which affects about one third of the patient population can negatively affect everyday functioning and quality of life. This pilot study aims to construct and examine the neuropsycho- logical profile of people with DRE within the framework of a longitudinal research project. Methods: A total of 33 subjects (21 women and 12 men; age range: 21-66 years, M = 41.49, SD = 15.75) were included in our study. A number of 17 drug-resistant epilepsy patients (13 women and 4 men; age range: 21-66 years, M = 46.6, SD = 13.5) and 16 matched controls (8 women and 8 men; age range: 23-59 years, M = 34.13, SD = 17.52) were included in the sample. The Montreal Cognitive Assessment was used as a preliminary screening tool. Executive functions were assessed by the letter and semantic fluency tests, visuo-spatial memory was tested using the Rey-Osterrieth Complex Figure Test (ROCFT), and language functions were assessed using the De Renzi Token Test. Results: Our results showed significantly lower performance in the patient group compared to controls regarding almost all executive functions (verbal fluency tasks, p < 0,05), memory functions (ROCFT delayed recall, p = 0.02) and the Token test assessing language functions (p = 0.009). Conclusion: Consistent with the literature data, DRE patients in this study sample performed significantly worse than the control group in both higher-order cognitive functioning, memory functioning and speech comprehension. The present test battery can be used to map the cognitive profile of DRE patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.008 |
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; both teacher heads agree on what is shown here.
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".