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Projekt Druckansicht

Hochfrequente Oszillationen bei mit hypersynchroner und mit niedrigvoltage-schneller Aktivität eingeleiteten Temporallappenanfällen: Pathophysiologische Zusammenhänge und Implikationen für die Patientenversorgung

Antragsteller Dr. Jan Schönberger
Fachliche Zuordnung Klinische Neurologie; Neurochirurgie und Neuroradiologie
Kinder- und Jugendmedizin
Förderung Förderung von 2017 bis 2018
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 361763863
 
Erstellungsjahr 2018

Zusammenfassung der Projektergebnisse

Objective: The distinction of hypersynchronous (HYP) and low-voltage fast (LVF) onset seizures in mesial temporal lobe epilepsy (MTLE) is well established, but classifying individual seizures and patients is often challenging. Experimental work indicates a strong association of HYP with fast ripples (250-500 Hz) and of LVF with ripples (80-250 Hz). We aimed to investigate whether analysis of high-frequency oscillations can be useful for characterizing the process of seizure generation in human MTLE patients. Methods: We retrospectively compared 19 HYP and 14 LVF onset clinical seizures from ten and six consecutive MTLE patients with a predominance of the respective pattern. Five-second intervals of stereotactic EEGs from the seizure onset zone were selected, representing preictal and initial ictal periods and, after the large spikes of HYP onsets, the LVF-like pattern that frequently followed. Results: Pre-ictal fast ripple density and rate were higher in HYP than in LVF patients. This association was also found for initial ictal segments. Furthermore, fast ripple density and rate were higher during the LVF-like pattern after HYP spikes than during LVF without preceding HYP. Ripple density and rate in contrast did not differ significantly. Fast ripple and ripple amplitude was higher during the LVF-like pattern after HYP spikes when compared to LVF without preceding HYP. Significance: Our findings indicate a clear connection between experimental findings and human epilepsy, and that the mechanisms underlying seizure generation differ substantially between human MTLE patient subgroups. Both during and immediately before seizures, fast ripple analysis may facilitate classification.

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