EXECUTIVE DYSFUNCTION PROFILE IN MESIAL TEMPORAL LOBE EPILEPSY
Bibliographic record
Abstract
The aim of the study was a comprehensive assessment of the profile of executive dysfunctions in patients with MTLE and the search for associations between the results of neuropsychological tests and individual clinical variables.We examined 25 patients with MTLE and 25 healthy controls using the Montreal Cognitive Assessment (MoCA), Color Trails Test (CTT), Tower of London (ToL), Victoria Stroop Test (VLT) and Wisconsin Card Sorting Test (WCST).We considered the possible effects of seizure frequency and lateralization of the epileptogenic zone on various aspects of cognitive functioning. MTLE group scored significantly lower than controls in MoCA (p = 0.000) and needed significantly more time (p=0.000) in CTT-2. They also had lower scores in several parts of ToL (total correct, p=0.004; additional moves, p=0.038; execution time, p=0.001; problem-solving time, p=0.003) and WCST (error responses, p=0.003; conceptual level responses, p=0.000; com - pleted categories, p=0.007; perseverative responses, p=0.004; perseverative errors, p=0.009). There were no significant dif- ferences between the clinical and control group in VST and in other indicators of CTT, ToL and WCST. Neither the laterality of the epileptogenic focus nor the seizure frequency were sig- nificantly correlated with the results.Patients with MTLE exhibit a wide range of executive dysfunctions. Importantly, the disorders were present only in some aspects of functioning, such as: logical reasoning, planning, switching between tasks, cognitive flexibility and problem-solving, while others e.g. inhibition, remained normal. Our results constitute a significant enrichment of knowledge concerning the specificity of functioning of this group of patients which may help clinicians to introduce solutions to improve the functioning of these 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) | 0.001 | 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".