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

I. E. Kanounikov, E. V. Antonova, B. V. Kiselev, D. R. Belov

Research output

2 Citations (Scopus)

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.

Original languageEnglish
Pages243-246
Number of pages4
Publication statusPublished - 1 Dec 1999
EventInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
Duration: 10 Jul 199916 Jul 1999

Conference

ConferenceInternational Joint Conference on Neural Networks (IJCNN'99)
CityWashington, DC, USA
Period10/07/9916/07/99

Fingerprint

Electroencephalography
Fractals
Brain

Scopus subject areas

  • Software

Cite this

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, .
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.
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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, Washington, DC, USA, 10/07/99 - 16/07/99, pp. 243-246.

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

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AU - Kanounikov, I. E.

AU - Antonova, E. V.

AU - Kiselev, B. V.

AU - Belov, D. R.

PY - 1999/12/1

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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.

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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, .