Berücksichtigen Sie zunächst das Alter des Patienten.
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1.
Eisermann M, Kaminska A, Moutard ML, Soufflet C, Plouin P. Normales EEG im Kindesalter: Vom Neugeborenen bis zum Jugendlichen. Neurophysiologie Clinique/Clinical Neurophysiology [Internet]. 2013 [zitiert am 13. April 2020];43(1):35–65. Verfügbar unter: https://linkinghub.elsevier.com/retrieve/pii/S0987705312003735
Berücksichtigen Sie die funktionelle Situation (Wach oder Schlaf und die Schlafphase).
Bewerten Sie anschließend das Grundlayout (Hintergrund).
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1.
Zafar S, Doria J, Karceski S. Sollten wir die EEG-Klassifizierung von leichten, mittelschweren und schweren zerebralen Funktionsstörungen standardisieren? Epilepsy Behav [Internet]. 1. November 2020 [zitiert am 6. September 2022];112. Verfügbar unter: https://www.epilepsybehavior.com/article/S1525-5050%2820%2930511-4/fulltext
Überprüfen Sie die Anfälle später.
Er schließt aus, dass es sich hierbei um Varianten der Normalität handelt.
Mu-Rhythmus und Lambda-Wellen.
Hypnagoge Hypersynchronie.
Wicket-Spikes.
Andere:

Es gibt mehrere Ressourcen, um die Muster von Normalitätsvarianten zu lernen:

Berücksichtigen Sie das Vorliegen pathologischer Befunde, die nicht mit Epilepsie zusammenhängen.
Lückenrhythmus.
Überschüssige Beta-Aktivität (Benzodiazepin-Imprägnierung).
Zugrundliegende neurologische Entwicklungsstörung.

Die Inzidenz epileptiformer Aktivität beträgt bei Erwachsenen ohne Epilepsie 2–3 %, bei Kindern ohne Epilepsie 5 % und bei Kindern mit neurologischen Entwicklungsstörungen ohne Epilepsie 40–50 %.

Andere:

Es gibt mehrere Ressourcen, um pathologische Muster zu lernen:

Stellen Sie sicher, dass der epileptische Ausfluss die beiden definierenden Merkmale erfüllt.
  • Es hat ein kongruentes Feld: Durch die Analyse des gegenphasigen Musters der Spitze (Depolarisation) können Sie seinen Ursprung lokalisieren.
  • Es setzt den Grundrhythmus außer Kraft, der leichter zu erkennen ist, wenn eine nachfolgende langsame Welle (Repolarisation) auftritt.
Abschließend wird das epileptische Syndrom klassifiziert, indem das Muster je nach Grundmuster und Anfällen in eine der folgenden 5 Gruppen eingeteilt wird:
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1.
Kim SH, Korff CM, Kim AJ, Nordli DR. Eine praktische, einfache und nützliche Methode zur Klassifizierung interiktaler EEG-Merkmale bei Kindern. Neurology. 4. August 2015;85(5):471–8.