David-Olivier D Azulay, Benjamin Renoux, Magnus Ivarsson
{"title":"Evidence of a pharmacodynamic EEG profile in rats following clonidine administration using a nonlinear analysis.","authors":"David-Olivier D Azulay, Benjamin Renoux, Magnus Ivarsson","doi":"10.1186/1753-4631-5-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Changes caused by clonidine in rodent electroencephalograms (EEG) have been reported with some inconsistency. For this reason, a pre-clinical study was conducted in order to confirm previous findings with both a standard spectral analysis and a sleep stage scoring procedure. In addition, a nonlinear technique for analysing the time-varying signals was implemented to compare its performance against conventional approaches.</p><p><strong>Results: </strong>The nonlinear method succeeds in quantifying all dose-related responses from the data set relying solely on the EEG trace.</p><p><strong>Conclusions: </strong>Nonlinear approaches can deliver a suitable alternative to the sleep-stage scoring methods commonly used for drug effect detection.</p>","PeriodicalId":87480,"journal":{"name":"Nonlinear biomedical physics","volume":"5 1","pages":"4"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1753-4631-5-4","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nonlinear biomedical physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/1753-4631-5-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Background: Changes caused by clonidine in rodent electroencephalograms (EEG) have been reported with some inconsistency. For this reason, a pre-clinical study was conducted in order to confirm previous findings with both a standard spectral analysis and a sleep stage scoring procedure. In addition, a nonlinear technique for analysing the time-varying signals was implemented to compare its performance against conventional approaches.
Results: The nonlinear method succeeds in quantifying all dose-related responses from the data set relying solely on the EEG trace.
Conclusions: Nonlinear approaches can deliver a suitable alternative to the sleep-stage scoring methods commonly used for drug effect detection.