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dc.creatorSpasić, Slađana
dc.creatorKalauzi, Aleksandar
dc.creatorKesic, Srdjan
dc.creatorObradović, Milica
dc.creatorŠaponjić, Jasna
dc.date.accessioned2022-04-05T14:29:12Z
dc.date.available2022-04-05T14:29:12Z
dc.date.issued2011
dc.identifier.issn0022-5193
dc.identifier.urihttp://rimsi.imsi.bg.ac.rs/handle/123456789/460
dc.description.abstractWe used spectral analysis and Higuchi fractal dimension (FD) to correlate the EEG spectral characteristics of the sensorimotor cortex, hippocampus, and pons with their corresponding EEG signal complexities in anesthetized rats. We have explored the quantitative relationship between the mean FDs and EEG wide range high frequency (8-50 Hz) activity during ketamine/xylazine versus nembutal anesthesia at surgical plane. Using FD we detected distinct inter-structure complexity pattern and uncovered for the first time that the polygraphically and behaviorally defined anesthetized state at surgical plane as equal during experiment in two anesthetic regimens, is not the same with respect to the degree of neuronal activity (degree of generalized neuronal inhibition achieved) at different brain levels. Using the correlation of certain brain structure EEG spectral characteristics with their corresponding FDs, and the surrogate data modeling, we determined what particular frequency band contributes to EEG complexities in ketamine/xylazine versus nembutal anesthesia. In this study we have shown that the quantitative relationship between higher frequency EEG amplitude and EEG complexity is the best-modeled by surrogate data as a 3rd order polynomial. On the base of our EEG amplitude/EEG complexity relationship model, and the evidenced spectral differences in ketamine versus nembutal anesthesia we have proved that higher amplitudes of sigma, beta, and gamma frequency in ketamine anesthesia yields to higher FDs.en
dc.publisherAcademic Press Ltd- Elsevier Science Ltd, London
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/173022/RS//
dc.relationNIHUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [AG16303]
dc.relationNATIONAL INSTITUTE ON AGINGUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute on Aging (NIA) [R01AG016303] Funding Source: NIH RePORTER
dc.rightsrestrictedAccess
dc.sourceJournal of Theoretical Biology
dc.subjectSpectral-fractal relationshipen
dc.subjectNembutalen
dc.subjectKetamine/xylazineen
dc.subjectHiguchi fractal dimensionen
dc.subjectAnesthesiaen
dc.titleSurrogate data modeling the relationship between high frequency amplitudes and Higuchi fractal dimension of EEG signals in anesthetized ratsen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage166
dc.citation.other289: 160-166
dc.citation.rankM21
dc.citation.spage160
dc.citation.volume289
dc.identifier.doi10.1016/j.jtbi.2011.08.037
dc.identifier.pmid21920374
dc.identifier.scopus2-s2.0-80052770977
dc.identifier.wos000296222800016
dc.type.versionpublishedVersion


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