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Different anesthesia in rat induces distinct inter-structure brain dynamic detected by higuchi fractal dimension

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Authors
Spasić, Slađana
Kesic, Srdjan
Kalauzi, Aleksandar
Šaponjić, Jasna
Article (Published version)
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Abstract
The complexity, entropy and other non-linear measures of the electroencephalogram ( EEG), such as Higuchi fractal dimension (FD), have been recently proposed as the measures of anesthesia depth and sedation. We hypothesized that during unconciousness in rats induced by the general anesthetics with opposite mechanism of action, behaviorally and poligraphically controlled as appropriately achieved stable anesthesia, we can detect distinct inter-structure brain dynamic using mean FDs. We used the surrogate data test for nonlinearity in order to establish the existence of nonlinear dynamics, and to justify the use of FD as a nonlinear measure in the time series analysis. The surrogate data of predefined probability distribution and autocorrelation properties have been generated using the algorithm of statically transformed autoregressive process (STAP). FD then is applied to quantify EEG signal complexity at the cortical, hippocampal and pontine level during stable general anesthesia (keta...mine/xylazine or nembutal anesthesia). Our study showed for the first time that global neuronal inhibition caused by different mechanisms of anesthetic action induced distinct brain inter- structure complexity gradient in Sprague Dawley rats. EEG signal complexities were higher at cortical and hippocampal level in ketamine/ xylazine vs. nembutal anesthesia, with the dominance of hippocampal complexity. In nembutal anesthesia the complexity dominance moved to pontine level, and ponto- hippocampocortical decreasing complexity gradient was established. This study has proved the Higuchi fractal dimension as a valuable tool for measuring the anesthesia induced inter- structure EEG complexity.

Keywords:
Surrogate Data / Nonlinearity in EEG / Nembutal / Ketamine/Xylazine / Higuchi Fractal Dimension / Anesthesia
Source:
Fractals-Complex Geometry Patterns and Scaling in Nature and Society, 2011, 19, 1, 113-123
Publisher:
  • World Scientific Publ Co Pte Ltd, Singapore
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]

DOI: 10.1142/S0218348X1100521X

ISSN: 0218-348X

WoS: 000288222600008

Scopus: 2-s2.0-79952576231
[ Google Scholar ]
24
15
URI
http://rimsi.imsi.bg.ac.rs/handle/123456789/443
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Institut za multidisciplinarna istraživanja
TY  - JOUR
AU  - Spasić, Slađana
AU  - Kesic, Srdjan
AU  - Kalauzi, Aleksandar
AU  - Šaponjić, Jasna
PY  - 2011
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/443
AB  - The complexity, entropy and other non-linear measures of the electroencephalogram ( EEG), such as Higuchi fractal dimension (FD), have been recently proposed as the measures of anesthesia depth and sedation. We hypothesized that during unconciousness in rats induced by the general anesthetics with opposite mechanism of action, behaviorally and poligraphically controlled as appropriately achieved stable anesthesia, we can detect distinct inter-structure brain dynamic using mean FDs. We used the surrogate data test for nonlinearity in order to establish the existence of nonlinear dynamics, and to justify the use of FD as a nonlinear measure in the time series analysis. The surrogate data of predefined probability distribution and autocorrelation properties have been generated using the algorithm of statically transformed autoregressive process (STAP). FD then is applied to quantify EEG signal complexity at the cortical, hippocampal and pontine level during stable general anesthesia (ketamine/xylazine or nembutal anesthesia). Our study showed for the first time that global neuronal inhibition caused by different mechanisms of anesthetic action induced distinct brain inter- structure complexity gradient in Sprague Dawley rats. EEG signal complexities were higher at cortical and hippocampal level in ketamine/ xylazine vs. nembutal anesthesia, with the dominance of hippocampal complexity. In nembutal anesthesia the complexity dominance moved to pontine level, and ponto- hippocampocortical decreasing complexity gradient was established. This study has proved the Higuchi fractal dimension as a valuable tool for measuring the anesthesia induced inter- structure EEG complexity.
PB  - World Scientific Publ Co Pte Ltd, Singapore
T2  - Fractals-Complex Geometry Patterns and Scaling in Nature and Society
T1  - Different anesthesia in rat induces distinct inter-structure brain dynamic detected by higuchi fractal dimension
EP  - 123
IS  - 1
SP  - 113
VL  - 19
DO  - 10.1142/S0218348X1100521X
ER  - 
@article{
author = "Spasić, Slađana and Kesic, Srdjan and Kalauzi, Aleksandar and Šaponjić, Jasna",
year = "2011",
abstract = "The complexity, entropy and other non-linear measures of the electroencephalogram ( EEG), such as Higuchi fractal dimension (FD), have been recently proposed as the measures of anesthesia depth and sedation. We hypothesized that during unconciousness in rats induced by the general anesthetics with opposite mechanism of action, behaviorally and poligraphically controlled as appropriately achieved stable anesthesia, we can detect distinct inter-structure brain dynamic using mean FDs. We used the surrogate data test for nonlinearity in order to establish the existence of nonlinear dynamics, and to justify the use of FD as a nonlinear measure in the time series analysis. The surrogate data of predefined probability distribution and autocorrelation properties have been generated using the algorithm of statically transformed autoregressive process (STAP). FD then is applied to quantify EEG signal complexity at the cortical, hippocampal and pontine level during stable general anesthesia (ketamine/xylazine or nembutal anesthesia). Our study showed for the first time that global neuronal inhibition caused by different mechanisms of anesthetic action induced distinct brain inter- structure complexity gradient in Sprague Dawley rats. EEG signal complexities were higher at cortical and hippocampal level in ketamine/ xylazine vs. nembutal anesthesia, with the dominance of hippocampal complexity. In nembutal anesthesia the complexity dominance moved to pontine level, and ponto- hippocampocortical decreasing complexity gradient was established. This study has proved the Higuchi fractal dimension as a valuable tool for measuring the anesthesia induced inter- structure EEG complexity.",
publisher = "World Scientific Publ Co Pte Ltd, Singapore",
journal = "Fractals-Complex Geometry Patterns and Scaling in Nature and Society",
title = "Different anesthesia in rat induces distinct inter-structure brain dynamic detected by higuchi fractal dimension",
pages = "123-113",
number = "1",
volume = "19",
doi = "10.1142/S0218348X1100521X"
}
Spasić, S., Kesic, S., Kalauzi, A.,& Šaponjić, J.. (2011). Different anesthesia in rat induces distinct inter-structure brain dynamic detected by higuchi fractal dimension. in Fractals-Complex Geometry Patterns and Scaling in Nature and Society
World Scientific Publ Co Pte Ltd, Singapore., 19(1), 113-123.
https://doi.org/10.1142/S0218348X1100521X
Spasić S, Kesic S, Kalauzi A, Šaponjić J. Different anesthesia in rat induces distinct inter-structure brain dynamic detected by higuchi fractal dimension. in Fractals-Complex Geometry Patterns and Scaling in Nature and Society. 2011;19(1):113-123.
doi:10.1142/S0218348X1100521X .
Spasić, Slađana, Kesic, Srdjan, Kalauzi, Aleksandar, Šaponjić, Jasna, "Different anesthesia in rat induces distinct inter-structure brain dynamic detected by higuchi fractal dimension" in Fractals-Complex Geometry Patterns and Scaling in Nature and Society, 19, no. 1 (2011):113-123,
https://doi.org/10.1142/S0218348X1100521X . .

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