Title :
Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG
Author :
Kemp, Bastiaan ; Zwinderman, Aeilko H. ; Tuk, Bert ; Kamphuisen, Hilbert A C ; Oberyé, Josefien J L
Author_Institution :
Center for Sleep & Wake Disorders, MCH Westeinde Hosp., Den Haag, Netherlands
Abstract :
Increasing depth of sleep corresponds to an increasing gain in the neuronal feedback loops that generate the low-frequency (slow-wave) electroencephalogram (EEG). The authors derived the maximum-likelihood estimator of the feedback gain and applied it to quantify sleep depth. The estimator computes the fraction (0%-100%) of the current slow wave which continues in the near future (0.02 s later) EEG. Therefore, this percentage was dubbed slow-wave microconfinuity (SW%). It is not affected by anatomical parameters such as skull thickness, which can considerably bias the commonly used slow-wave power (SWP). In the authors´ study, both of the estimators SW% and SWP were monitored throughout two nights in 22 subjects. Each subject took temazepam (a benzodiazepine) on one of the two nights, Both estimators detected the effects of age, temazepam, and time of night on sleep. Females were found to have twice the SWP of males, but no gender effect on SW% was found. This confirms earlier reports that gender affects SWP but not sleep depth. Subjectively assessed differences in sleep quality between the nights were correlated to differences in SW%, not in SWP. These results demonstrate that slow-wave microcontinuity, being based on a physiological model of sleep, reflects sleep depth more closely than SWP does.
Keywords :
electroencephalography; feedback; maximum likelihood estimation; medical signal processing; neurophysiology; sleep; EEG slow-wave microcontinuity; anatomical parameters; benzodiazepine; gender effect; physiological model; skull thickness; sleep quality; sleep-dependent neuronal feedback loop; temazepam; Biomedical measurements; Electroencephalography; Feedback loop; Frequency measurement; Hospitals; Maximum likelihood detection; Maximum likelihood estimation; Neurofeedback; Power measurement; Skull; Adolescent; Adult; Aged; Biomedical Engineering; Electroencephalography; Feedback; Female; Humans; Male; Middle Aged; Models, Neurological; Neurons; Sleep;
Journal_Title :
Biomedical Engineering, IEEE Transactions on