EEG abnormalities preceding the epilepsy onset in tuberous sclerosis complex patients - a prospective study of 5 patients.
PBN-AR
Instytucja
Instytut "Pomnik - Centrum Zdrowia Dziecka"
Informacje podstawowe
Główny język publikacji
en
Czasopismo
EUROPEAN JOURNAL OF PAEDIATRIC NEUROLOGY
ISSN
1090-3798
EISSN
Wydawca
ELSEVIER SCI LTD
DOI
URL
Rok publikacji
2014
Numer zeszytu
4
Strony od-do
458-468
Numer tomu
18
Identyfikator DOI
Liczba arkuszy
Słowa kluczowe
en
TSC
EEG monitoring
epilepsy
epileptiform discharges
Streszczenia
Język
angielski
Treść
Tuberous sclerosis complex (TSC) is a multisystem, autosomal dominant disorder characterized by multiple hamartomas development. Epilepsy is the most common symptom appearing in 80-90% of the patients mainly in the first year of life. A prompt and early seizure control is crucial and can prevent development of an epileptic encephalopathy and secondary mental retardation. Therefore the very early identification of seizures seems to be of a great importance. We present the cases of 5 patients diagnosed with TSC prenatally or perinatally and regularly monitored (at 4-6 weeks intervals) with EEG before the epilepsy onset. The patients' age at baseline varied from 9 days to 9 weeks. In all of the patients epileptiform discharges preceded the epilepsy onset. The time interval between abnormality detection on EEG and the epilepsy onset varied from 1 to 8 days. The patient's age at the epilepsy onset ranged from the 17th day to the 5th month of life. In one patient the EEG was abnormal from the beginning and in this patient the epileptic seizures started from the neonatal period. In the rest of the patients (4/5) the EEG remained normal throughout the first months of life. In all of the children epilepsy started with focal motor seizures. Our study is the first prospective one showing the results of the EEG monitoring in TSC patients and the natural evolution of the EEG patterns in patients with the seizures types other than infantile spasms.
Cechy publikacji
Original-article
Inne
System-identifier
0000013419
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