{"title":"Detecting phase coupling of sleep EEG via bispectra","authors":"T. Ning, J. Bronzino","doi":"10.1109/NEBC.1988.19383","DOIUrl":null,"url":null,"abstract":"Bispectral analyses were utilized to study the rat electroencephalogram (EEG) to extract information regarding phase coupling. The results indicate that the EEG recorded from the hippocampus exhibits a strong phase coupling between frequencies in the theta band (6-8 Hz) primarily during REM sleep, while the cortical EEG exhibits a weak coupling between flow frequencies in the delta band (0-3 Hz) during quiet-waking. The degree of phase coupling was further quantified using the biocoherence function. This study provides data not available from traditional power-spectral analysis.<<ETX>>","PeriodicalId":165980,"journal":{"name":"Proceedings of the 1988 Fourteenth Annual Northeast Bioengineering Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1988 Fourteenth Annual Northeast Bioengineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEBC.1988.19383","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Bispectral analyses were utilized to study the rat electroencephalogram (EEG) to extract information regarding phase coupling. The results indicate that the EEG recorded from the hippocampus exhibits a strong phase coupling between frequencies in the theta band (6-8 Hz) primarily during REM sleep, while the cortical EEG exhibits a weak coupling between flow frequencies in the delta band (0-3 Hz) during quiet-waking. The degree of phase coupling was further quantified using the biocoherence function. This study provides data not available from traditional power-spectral analysis.<>