Notice bibliographique
Résumé
The myoclonic epilepsies are a group of syndromes in which myoclonic seizures are a prominent symptom. However, they persistently present a challenge during neurological training and are often difficult to comprehend. The molecular advances in our understanding of the progressive myoclonus epilepsies, the recognition of the patterns of idiopathic generalized epilepsy in adults, and the identification of myoclonic epilepsy syndromes in children have clarified considerably the dimensions of the problem. However, there are currently many questions about both malignant and benign myoclonic epilepsies that need resolution. Particularly striking is the tremendous range in the etiology of myoclonic disorders from the most malignant, as in the progressive myoclonus epilepsies, to the most benign and most easily treated, as in the idiopathic generalized epilepsies. In addition, it has recently become clear that some drugs are effective antimyoclonic agents, whereas others are promyoclonic and may contribute to the emergence or aggravation of myoclonus. The principles of treatment of myoclonus are not necessarily the same as those for the treatment of the epilepsies in general. Clearly, the myoclonic epilepsies are an intriguing group of disorders that will benefit from this instructive and highly relevant discussion. The following articles are compiled from the proceedings of a satellite symposium sponsored by the American Epilepsy Society, held in December 2001, and seek to present a thorough examination of myoclonic epilepsies, resulting in improved understanding, diagnosis, and more effective treatment. It is necessary to classify a patient's syndrome correctly since treatment, prognosis, and further research depend on accurate categorization. Dr. Ilo Leppik's article provides a detailed discussion of the various classifications of the myoclonic epilepsies and the importance of accurate classification. Likewise, it is also essential to examine the clinical description of myoclonic disorders. Dr. Edward Faught reviews the phenomenology of myoclonic seizures and the classification of myoclonus based on correlations with EEG and EMG. Molecular genetic research in myoclonus further assists in providing a more accurate syndrome classification and ultimately is expected to provide rational treatment through gene therapy. Dr. Antonio Delgado-Escueta provides an overview of the new advances in molecular genetics of benign or idiopathic and progressive myoclonus epilepsies in infants, children, adolescents, and adults. Finally, we must consider the treatment strategies for myoclonic epilepsy. More treatment options are available today and the clinician faces the challenge of determining the most appropriate approach. Dr. James Wheless discusses treatment options based on determining etiology and rational classification of the epilepsy syndrome. Despite the challenges involved in treatment, significant advances in both our understanding of the underlying etiology, classification, genetics, and treatment options for myoclonic epilepsies have recently surfaced, and current research continues to progress.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 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) | 0,002 | 0,001 |
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 tête enseignante, 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 ».