SYNGAP1-DEE: A visual sensitive epilepsy

Archive ouverte

Lo Barco, Tommaso | Kaminska, Anna | Solazzi, Roberta | Cancés, Claude | Barcia, Giulia | Chemaly, Nicole | Fontana, Elena | Desguerre, Isabelle | Canafoglia, Laura | Hachon Le Camus, Caroline | Losito, Emma | Villard, Laurent | Dalla Bernardina, Bernardo | Villeneuve, Nathalie | Nabbout, Rima

Edité par CCSD ; Elsevier -

International audience. Objective: To further delineate the electroclinical features of individuals with SYNGAP1 pathogenic variants.Methods: Participants with pathogenic SYNGAP1 variants and available video-electroencephalogram (EEG) recordings were recruited within five European epilepsy reference centers. We obtained molecular and clinical data, analyzed EEG recordings and archived video-EEGs of seizures and detailed characteristics of interictal and ictal EEG patterns for every patient.Results: We recruited 15 previously unreported patients and analyzed 72 EEGs. Two distinct EEG patterns emerged, both triggered by eye closure. Pattern 1 (14/15 individuals) consisted of rhythmic posterior/diffuse delta waves appearing with eye-closure and persisting until eye opening (strongly suggestive of fixation-off sensitivity). Pattern 2 (9/15 individuals) consisted of diffuse polyspike-and-wave discharges triggered by eye closure (eye-closure sensitivity). Both patterns presented in 8/15. Including archived video-EEG clips of seizures from 9/15 patients, we analyzed 254 seizures. Of 224 seizures experienced while awake, 161 (72%) occurred at or following eye closure. In 119/161, pattern 1 preceded an atypical absence, myoclonic seizure or myoclonic absence; in 42/161, pattern 2 was associated with eyelid myoclonia, absences and myoclonic or atonic seizures.Conclusions: Fixation-off and eye closure were the main triggers for seizures in this SYNGAP1 cohort.Significance: Combining these clinical and electroencephalographic features could help guide genetic diagnosis.

Suggestions

Du même auteur

Natural history of rare diseases using Natural Language Processing of narrative unstructured electronic health records: the example of Dravet syndrome

Archive ouverte | Lo Barco, Tommaso | CCSD

International audience. Objective The increasing implementation of electronic health records allows the use of advanced text‐mining methods for establishing new patient‐phenotypes and stratification, and for reveali...

Head circumferences of patients with Dravet syndrome show growth slowdown

Archive ouverte | Lo Barco, Tommaso | CCSD

International audience

Improving early diagnosis of rare diseases using Natural Language Processing in unstructured medical records: an illustration from Dravet syndrome

Archive ouverte | Barco, Tommaso, Lo | CCSD

International audience. Background The growing use of Electronic Health Records (EHRs) is promoting the application of data mining in health-care. A promising use of big data in this field is to develop models to su...

Chargement des enrichissements...