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Analysis of complexity of EEG during sleep

100%
Szelenberger W., Wackerman J., Skalski M., Niemcewicz S., Drojewski J.
Acta Neurobiologiae Experimentalis
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1996
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vol. 56
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issue 1
165-169
EN
New multichannel descriptors of EEG activity: complexity (Omega), total power (Sigma) and generalized frequency (Phi) were applied to whole night sleep analysis in 11 healthy subjects. The values of Omega and Phi decreased systematically from waking to slow wave sleep, and increased systematically in consecutive NREM-REM sleep cycles. The changes of Sigma were opposite to Omega and Phi. These descriptors may be an alternative approach to the EEG sleep analysis.
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Interhemispheric differences of sleep EEG complexity

80%
Szelenberger W., Wackermann J., Skalski M., Drojewski J., Niemcewicz S.
Acta Neurobiologiae Experimentalis
|
1996
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vol. 56
|
issue 4
955-959
EN
Complexity of EEG (W), a global measure reflecting degree of spatial synchronization, was computed for whole night recordings of sleep EEG of 10 healthy volunteers, 9 males and 1 female (age 21-53) and 6 depressive patients, 5 males and 1 female (age 23-64). Sleep was scored visually in 20's epochs, W was calculated in 2.5 s segments and the median from 8 segments (20 s) was calculated. W was calculated for the whole field of 21 electrodes and for the left and right hemisphere separately (2 x 8 electrodes). Measure of global power (S) and generalized frequency (f) were also computed for the same data. In healthy subjects the complexity was higher over the right hemisphere during waking, and the difference shifted to higher complexity over the left hemisphere in slow wave sleep (F=5.15, df1=4, df2=6856, P<0.0005). The opposite trend was found in depressives (F=10.51, dfl=4, df2=3960, P<0.0001).
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