Journal
BRAIN RESEARCH BULLETIN
Volume 120, Issue -, Pages 106-116Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.brainresbull.2015.11.012
Keywords
Absence epilepsy; WAG/Rij; Sleep spindles; Mid-frequency oscillations; Continuous wavelet transform; EEG analysis
Categories
Funding
- Russian Science Foundation [14-12-00224]
- Russian Foundation for Basic Research [13-04-00084]
- Ministry of Education and Science of Russian Federation [3.23.2014K, 931]
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This study examines the hypothesis that absence epilepsy is accompanied by disturbances of rhythmic activity in EEG during sleep. Sleep-wake architecture and time-frequency parameters of EEG were analyzed during drowsiness and sleep in WAG/Rij rats with genetic predisposition to absence epilepsy. The incidence of seizures varied in a group of 10 rats, in which 5 individuals did not develop epileptic discharges in their EEG (asymptomatic rats). In contrast to asymptomatic, symptomatic subjects (1) displayed less percentage of wakefulness EEG pattern and more non-REM sleep, (2) showed higher beta and less delta EEG power in frontal cortex during non-REM sleep. Mid-frequency oscillations, such as sleep spindles and 5-9 Hz oscillations, were detected in EEG automatically and underwent time-frequency analysis by means of skeletons of wavelet surfaces. Some mid-frequency oscillations showed complex frequency structure, consisting of the dominant and subdominant components. Complex sleep spindles more frequently appeared in asymptomatic rats than in symptomatic, whereas the dominant frequency of these spindles in symptomatic rats was higher than in asymptomatic (12.7 vs 11.9 Hz). In general, low-frequency components were readily integrated in sleep spindles in asymptomatic WAG/Rij rats, and decrease in number of complex sleep spindles may be associated with epileptic phenotype. (C) 2015 Elsevier Inc. All rights reserved.
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