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Dependence of one of the fractal characteristics (Hurst exponent) of the human electroencephalogram on the cortical area and type of activity. / Kanounikov, I. E.; Antonova, E. V.; Kiselev, B. V.; Belov, D. R.

1999. 243-246 Paper presented at International Joint Conference on Neural Networks (IJCNN'99), Washington, DC, USA.

Research output: Contribution to conference › Paper › peer-review

Harvard

Kanounikov, IE, Antonova, EV, Kiselev, BV & Belov, DR 1999, 'Dependence of one of the fractal characteristics (Hurst exponent) of the human electroencephalogram on the cortical area and type of activity', Paper presented at International Joint Conference on Neural Networks (IJCNN'99), Washington, DC, USA, 10/07/99 - 16/07/99 pp. 243-246.

APA

Kanounikov, I. E., Antonova, E. V., Kiselev, B. V., & Belov, D. R. (1999). Dependence of one of the fractal characteristics (Hurst exponent) of the human electroencephalogram on the cortical area and type of activity. 243-246. Paper presented at International Joint Conference on Neural Networks (IJCNN'99), Washington, DC, USA.

Vancouver

Kanounikov IE, Antonova EV, Kiselev BV, Belov DR. Dependence of one of the fractal characteristics (Hurst exponent) of the human electroencephalogram on the cortical area and type of activity. 1999. Paper presented at International Joint Conference on Neural Networks (IJCNN'99), Washington, DC, USA.

Author

Kanounikov, I. E. ; Antonova, E. V. ; Kiselev, B. V. ; Belov, D. R. / Dependence of one of the fractal characteristics (Hurst exponent) of the human electroencephalogram on the cortical area and type of activity. Paper presented at International Joint Conference on Neural Networks (IJCNN'99), Washington, DC, USA.4 p.

BibTeX

@conference{a822b1c214bc48d9acd30c1d4fc29ead,
title = "Dependence of one of the fractal characteristics (Hurst exponent) of the human electroencephalogram on the cortical area and type of activity",
abstract = "In the present research the original Hurst fractal characteristic was applied to the analysis of the human electroencephalogram under different types of cognitive activities. The results obtained in this work showed that by means of the Hurst exponent the EEG-processes, depending on the cortical areas and the functional state, could be reliably discerned. It was found that maximum values of the Hurst exponent were in sites F7 and F8, Broca's area and symmetrical area in the right inferior frontal region. Interhemispherical asymmetry occurred between sites O1 and O2, occipital areas, and that asymmetry correlated positively with general intellectual abilities. The probable mechanisms, lying at the base of the obtained results are discussed in the paper. Mentioned above results showed that application of the original Hurst exponent to the electroencephalogram analysis is an adequate and effective method of analysis of brain activity.",
author = "Kanounikov, {I. E.} and Antonova, {E. V.} and Kiselev, {B. V.} and Belov, {D. R.}",
year = "1999",
month = dec,
day = "1",
language = "English",
pages = "243--246",
note = "International Joint Conference on Neural Networks (IJCNN'99) ; Conference date: 10-07-1999 Through 16-07-1999",

}

RIS

TY - CONF

T1 - Dependence of one of the fractal characteristics (Hurst exponent) of the human electroencephalogram on the cortical area and type of activity

AU - Kanounikov, I. E.

AU - Antonova, E. V.

AU - Kiselev, B. V.

AU - Belov, D. R.

PY - 1999/12/1

Y1 - 1999/12/1

N2 - In the present research the original Hurst fractal characteristic was applied to the analysis of the human electroencephalogram under different types of cognitive activities. The results obtained in this work showed that by means of the Hurst exponent the EEG-processes, depending on the cortical areas and the functional state, could be reliably discerned. It was found that maximum values of the Hurst exponent were in sites F7 and F8, Broca's area and symmetrical area in the right inferior frontal region. Interhemispherical asymmetry occurred between sites O1 and O2, occipital areas, and that asymmetry correlated positively with general intellectual abilities. The probable mechanisms, lying at the base of the obtained results are discussed in the paper. Mentioned above results showed that application of the original Hurst exponent to the electroencephalogram analysis is an adequate and effective method of analysis of brain activity.

AB - In the present research the original Hurst fractal characteristic was applied to the analysis of the human electroencephalogram under different types of cognitive activities. The results obtained in this work showed that by means of the Hurst exponent the EEG-processes, depending on the cortical areas and the functional state, could be reliably discerned. It was found that maximum values of the Hurst exponent were in sites F7 and F8, Broca's area and symmetrical area in the right inferior frontal region. Interhemispherical asymmetry occurred between sites O1 and O2, occipital areas, and that asymmetry correlated positively with general intellectual abilities. The probable mechanisms, lying at the base of the obtained results are discussed in the paper. Mentioned above results showed that application of the original Hurst exponent to the electroencephalogram analysis is an adequate and effective method of analysis of brain activity.

UR - http://www.scopus.com/inward/record.url?scp=0033325253&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0033325253

SP - 243

EP - 246

T2 - International Joint Conference on Neural Networks (IJCNN'99)

Y2 - 10 July 1999 through 16 July 1999

ER -

ID: 36648840