DocumentCode
1379621
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
Volume
47
Issue
9
fYear
2000
Firstpage
1185
Lastpage
1194
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;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.867928
Filename
867928
Link To Document