COGNITIVE ASSESSMENT IN A SAMPLE OF EGYPTIAN PATIENTS WITH GENERALIZED ONSET EPILEPSY
Notice bibliographique
Résumé
Background: Cognitive brain functions constitute the ability to work with information in a meaningful way, apply gained information, perform preferential changes, and someone ability to change opinions about that information. Individuals with epilepsy have a higher prevalence of impaired cognitive performance compared to healthy individuals who are matched for age and education. Numerous factors can have a deleterious impact on cognition in patients, including age at onset of epilepsy, seizure frequency, duration of seizures, structural cerebral damage as a consequence of repetitive or prolonged seizures and medications used for treating seizures. Objective: Assessing the cognitive functions in patients with generalized onset epilepsy. Patients and Methods: Our study was conducted, in the neurology department of Sohag general hospital upon 75 individuals divided into 3 equal groups presented with epilepsy selected from the inpatient and outpatient clinics. Patients were divided into three groups: I. Group A: patients diagnosed with generalized onset epilepsy with medication (anti-epileptic drugs). II. Group B: patients diagnosed with generalized onset epilepsy without medication (anti-epileptic drugs). III. Group C: healthy subjects will be included in the study as the control group. All of the participants were be subjected to the following: *Full history (demographic data and personal history, detailed history of general health condition and chronic or current diseases) and general and neurological examination *Special tests including: PEBL Wisconsin (Berg) Card Sort test, PEBL The Conners’ continuous performance test, Montreal cognitive assessment (MoCa) *Brain imaging: MRI brain (to exclude organic cause). *EEG. Results: The mean Correct Responses Wisconison card sorting test of study groups was around 76.7±5.65 in group 1, around 78±2.88 in group 2 and 81.8±2.38 in group 3; with significant difference between group 1 and group 3 and significant difference between group 2 and group 3. The mean Target Acc Rate continuous performance test was around 0.956±0.03 in group 1, around 0.970±0.015 in group 2 and 0.974±0.015 in group 3; with significant difference between group 1 and group 2 and significant difference between group 1 and group 3. The mean MoCa of study groups was around 24.1 in epileptic with medication group, 23.96 in epileptic without medication group and 25 in control group with no significant difference between all groups. With high significant difference between Group 1 versus Group 3, and Group 2 versus Group 3. The normal MoCa was around 3 in epileptic with medication group, 2 in epileptic without medication group and 22 in control group with high significant difference between all groups. Conclusion: All patients with epilepsy reported significant impairment in all cognitive measures such as working memory, inhibitory control, goal maintenance, and mental flexibility. We observed attentional deficits in processes such as alertness and attention span and those requiring sustained and divided attention compared with controls. Attentional and executive impairment was correlated with higher frequency of seizures.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».