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A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
Published on: November 13, 2016
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Electro-Clinical Features and Functional Connectivity Analysis in SYN1-Related Epilepsy
Vincent Moya Quiros1, Ahmed Adham2,3, Philippe Convers1,4
1Neurology Department, University Hospital, Saint-Etienne, France.
Annals of Neurology
|August 23, 2024
Summary
Epilepsy linked to synapsin 1 (SYN1) variations presents a distinct pattern. Seizures often involve temporal regions with autonomic features, and EEG shows specific temporo-perisylvian activity.
Area of Science:
- Neuroscience
- Genetics
- Epilepsy Research
Background:
- Limited data exists on the electroclinical characteristics of epilepsy associated with synapsin 1 (SYN1) pathogenic variations.
- Understanding these features is crucial for diagnosis and management.
Purpose of the Study:
- To investigate the clinical and electroencephalographic (EEG) features in patients with epilepsy and SYN1 variants.
- To identify a distinctive electroclinical pattern associated with SYN1 variations.
Main Methods:
- Retrospective multicenter study of 19 male patients with SYN1 variants.
- Analysis of interictal EEG and electro-clinical data from 10 seizures in 5 patients.
- Comparison of EEG functional connectivity and frequency spectrum with age- and sex-matched controls.
Main Results:
- Normal EEG background with rare interictal abnormalities.
- Over 60% of patients experienced reflex seizures (water, defecation triggers).
- Seizures showed temporal/temporo-insulo/perisylvian semiology with autonomic features; ictal EEG revealed rhythmic theta/delta activity in temporo-perisylvian regions.
Conclusions:
- A distinct epilepsy syndrome associated with SYN1 variations is identified.
- This syndrome exhibits a characteristic clinical and EEG pattern.
- Findings suggest predominant temporo-insular involvement in SYN1-related epilepsy.
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