Electro-Clinical Features and Functional Connectivity Analysis in SYN1-Related Epilepsy

Vincent Moya Quiros*, Ahmed Adham, Philippe Convers, Gaetan Lesca, François Mauguiere, Hugo Soulier, Alexis Arzimanoglou, Allan Bayat, Hilde Braakman, Jean Philippe Camdessanche, Philippe Casenave, Laurence Chaton, Yves Chaix, Maxime Chochoi, Christel Depienne, Vincent Desportes, Jessie De Ridder, Vera Dinkelacker, Elena Gardella, Gerhard J. KlugerJulien Jung, Martine Lemesle Martin, Maria Margherita Mancardi, Markus Mueller, Anne Lise Poulat, Konrad Platzer, Agathe Roubertie, Marijn F. Stokman, Anneke T. Vulto-van Silfhout, Gert Wiegand, Laure Mazzola*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Objective: There is currently scarce data on the electroclinical characteristics of epilepsy associated with synapsin 1 (SYN1) pathogenic variations. We examined clinical and electro-encephalographic (EEG) features in patients with epilepsy and SYN1 variants, with the aim of identifying a distinctive electroclinical pattern. Methods: In this retrospective multicenter study, we collected and reviewed demographic, genetic, and epilepsy data of 19 male patients with SYN1 variants. Specifically, we analyzed interictal EEG data for all patients, and electro-clinical data from 10 epileptic seizures in 5 patients, using prolonged video-EEG monitoring recordings. Inter-ictal EEG functional connectivity parameters and frequency spectrum of the 10 patients over 12 years of age, were computed and compared with those of 56 age- and sex-matched controls. Results: The main electroclinical features of epilepsy in patients with SYN1 were (1) EEG background and organization mainly normal; (2) interictal abnormalities are often rare or not visible on EEG; (3) more than 60% of patients had reflex seizures (cutaneous contact with water and defecation being the main triggers) isolated or associated with spontaneous seizures; (4) electro-clinical semiology of seizures was mainly temporal or temporo-insulo/perisylvian with a notable autonomic component; and (5) ictal EEG showed a characteristic rhythmic theta/delta activity predominating in temporo-perisylvian regions at the beginning of most seizures. Comparing patients with SYN1 to healthy subjects, we observed a shift to lower frequency bands in power spectrum of interictal EEG and an increased connectivity in both temporal regions. Interpretation: A distinct epilepsy syndrome emerges in patients with SYN1, with a rather characteristic clinical and EEG pattern suggesting predominant temporo-insular involvement. ANN NEUROL 2024.

Original languageEnglish
JournalAnnals of Neurology
ISSN0364-5134
DOIs
Publication statusE-pub ahead of print - 23. Aug 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.

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