Title Rolando epilepsija sergančių vaikų EEG pakitimų, miego bei elgesio sutrikimų ir klinikinių charakteristikų sąsajos /
Translation of Title Associations between EEG data, sleep, behavioural disorders and clinical characteristics in Rolandic epilepsy.
Authors Samaitienė, Rūta
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Pages 112
Keywords [eng] Rolandic epilepsy ; sleep problems ; behavioural problems ; seizures ; EEG
Abstract [eng] Although patients with benign Rolandic epilepsy (RE) exhibit a benign course of the disease, some of them display sleep and behavioural problems. Seventy five patients with RE, aged 6–11 years, were included in this study. The patients were divided into two subgroups according to the presence of seizures over the preceding 6 months. The comparison group comprised 32 patients without epilepsy and with similar characteristics in terms of age and sex. All patients underwent evaluation of sleep (Sleep Disturbance Scale for Children) and behaviour (Lithuanian version of Child Behaviour Checklist). We examined the sleep and behavioural problems in correlation with the clinical data, EEG data, and simple visual-motor reaction time data. We automatically and manually analysed EEG in the collaboration with Vilnius University Faculty of Mathematics and Informatics. Only patients who had had seizures over the preceding 6 months displayed significantly higher scores for sleep problems (disorders of excessive daytime sleepiness, disorders of sleep breathing, and disorders of sleep-wake transition, longer sleep onset latency), and behavioural problems (social problems, thought problems, attention problems, and aggressive behavior) than the patients of the comparison group. Behavioural problems were associated with the longer epilepsy duration, more frequent and more severe seizures, sleep problems and sleep EEG data (spike frequency >35/min and spike focus, spreading to the other than centrotemporal zones). Wake EEG spike frequency >17 spikes/min was related to the longer simple reaction time. Behavioural problems and EEG data (sleep spike frequency >37 spikes/min and spike focus, spreading to the other than centrotemporal zones) were related to the more difficult to treat RE. A method of morphological filter had 88.0% accuracy, compared to the manually calculated EEG data.
Type Doctoral thesis
Language Lithuanian
Publication date 2013