Surrogate data modeling the relationship between high frequency amplitudes and Higuchi fractal dimension of EEG signals in anesthetized rats
Abstract
We 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 contribute...s 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.
Keywords:
Spectral-fractal relationship / Nembutal / Ketamine/xylazine / Higuchi fractal dimension / AnesthesiaSource:
Journal of Theoretical Biology, 2011, 289, 160-166Publisher:
- Academic Press Ltd- Elsevier Science Ltd, London
Funding / projects:
- Neurobiology of sleep in aging and disease - electroencephalographic markers and modeling in the estimation of disorder (RS-173022)
- NIHUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [AG16303]
- NATIONAL INSTITUTE ON AGINGUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute on Aging (NIA) [R01AG016303] Funding Source: NIH RePORTER
DOI: 10.1016/j.jtbi.2011.08.037
ISSN: 0022-5193
PubMed: 21920374
WoS: 000296222800016
Scopus: 2-s2.0-80052770977
Collections
Institution/Community
Institut za multidisciplinarna istraživanjaTY - JOUR AU - Spasić, Slađana AU - Kalauzi, Aleksandar AU - Kesic, Srdjan AU - Obradović, Milica AU - Šaponjić, Jasna PY - 2011 UR - http://rimsi.imsi.bg.ac.rs/handle/123456789/460 AB - We 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. PB - Academic Press Ltd- Elsevier Science Ltd, London T2 - Journal of Theoretical Biology T1 - Surrogate data modeling the relationship between high frequency amplitudes and Higuchi fractal dimension of EEG signals in anesthetized rats EP - 166 SP - 160 VL - 289 DO - 10.1016/j.jtbi.2011.08.037 ER -
@article{ author = "Spasić, Slađana and Kalauzi, Aleksandar and Kesic, Srdjan and Obradović, Milica and Šaponjić, Jasna", year = "2011", abstract = "We 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.", publisher = "Academic Press Ltd- Elsevier Science Ltd, London", journal = "Journal of Theoretical Biology", title = "Surrogate data modeling the relationship between high frequency amplitudes and Higuchi fractal dimension of EEG signals in anesthetized rats", pages = "166-160", volume = "289", doi = "10.1016/j.jtbi.2011.08.037" }
Spasić, S., Kalauzi, A., Kesic, S., Obradović, M.,& Šaponjić, J.. (2011). Surrogate data modeling the relationship between high frequency amplitudes and Higuchi fractal dimension of EEG signals in anesthetized rats. in Journal of Theoretical Biology Academic Press Ltd- Elsevier Science Ltd, London., 289, 160-166. https://doi.org/10.1016/j.jtbi.2011.08.037
Spasić S, Kalauzi A, Kesic S, Obradović M, Šaponjić J. Surrogate data modeling the relationship between high frequency amplitudes and Higuchi fractal dimension of EEG signals in anesthetized rats. in Journal of Theoretical Biology. 2011;289:160-166. doi:10.1016/j.jtbi.2011.08.037 .
Spasić, Slađana, Kalauzi, Aleksandar, Kesic, Srdjan, Obradović, Milica, Šaponjić, Jasna, "Surrogate data modeling the relationship between high frequency amplitudes and Higuchi fractal dimension of EEG signals in anesthetized rats" in Journal of Theoretical Biology, 289 (2011):160-166, https://doi.org/10.1016/j.jtbi.2011.08.037 . .