DocumentCode :
1817231
Title :
Dependence of one of the fractal characteristics (Hurst exponent) of the human electroencephalogram on the cortical area and type of activity
Author :
Kanounikov, I.E. ; Antonova, E.V. ; Kiselev, B.V. ; Belov, D.R.
Author_Institution :
Inst. of Phys., St. Petersburg State Univ., Russia
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
243
Abstract :
In the research presented, 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. The above mentioned results showed that application of the original Hurst exponent to electroencephalogram analysis is an adequate and effective method of analysis of brain activity
Keywords :
brain; electroencephalography; Broca´s area; F7 site; F8 site; Hurst fractal characteristic; O1 site; O2 site; brain activity; cognitive activities; cortical area; functional state; general intellectual abilities; human electroencephalogram; interhemispherical asymmetry; occipital areas; right inferior frontal region; symmetrical area; Brain; Chaos; Correlation; Differential equations; Electroencephalography; Fractals; Humans; Information processing; Physics; Physiology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-5529-6
Type :
conf
DOI :
10.1109/IJCNN.1999.831494
Filename :
831494
Link To Document :
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