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Evidence of a pharmacodynamic EEG profile in rats following clonidine administration using a nonlinear analysis

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,...

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Detalles Bibliográficos
Autores principales: Azulay, David-Olivier D, Renoux, Benjamin, Ivarsson, Magnus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3141322/
https://www.ncbi.nlm.nih.gov/pubmed/21703022
http://dx.doi.org/10.1186/1753-4631-5-4
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author Azulay, David-Olivier D
Renoux, Benjamin
Ivarsson, Magnus
author_facet Azulay, David-Olivier D
Renoux, Benjamin
Ivarsson, Magnus
author_sort Azulay, David-Olivier D
collection PubMed
description 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.
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spelling pubmed-31413222011-07-23 Evidence of a pharmacodynamic EEG profile in rats following clonidine administration using a nonlinear analysis Azulay, David-Olivier D Renoux, Benjamin Ivarsson, Magnus Nonlinear Biomed Phys Research 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. BioMed Central 2011-06-26 /pmc/articles/PMC3141322/ /pubmed/21703022 http://dx.doi.org/10.1186/1753-4631-5-4 Text en Copyright ©2011 Azulay et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Azulay, David-Olivier D
Renoux, Benjamin
Ivarsson, Magnus
Evidence of a pharmacodynamic EEG profile in rats following clonidine administration using a nonlinear analysis
title Evidence of a pharmacodynamic EEG profile in rats following clonidine administration using a nonlinear analysis
title_full Evidence of a pharmacodynamic EEG profile in rats following clonidine administration using a nonlinear analysis
title_fullStr Evidence of a pharmacodynamic EEG profile in rats following clonidine administration using a nonlinear analysis
title_full_unstemmed Evidence of a pharmacodynamic EEG profile in rats following clonidine administration using a nonlinear analysis
title_short Evidence of a pharmacodynamic EEG profile in rats following clonidine administration using a nonlinear analysis
title_sort evidence of a pharmacodynamic eeg profile in rats following clonidine administration using a nonlinear analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3141322/
https://www.ncbi.nlm.nih.gov/pubmed/21703022
http://dx.doi.org/10.1186/1753-4631-5-4
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