Age-Dependent Changes of the EEG Data: Comparative Study of Correlation Dimension D2, Spectral Analysis, Peak Alpha Frequency and Stability of Rhythms

Abstract

The aim of this study was to present new methods to explore the EEG dynamic changes during human development and aging and to assess its advantages. The electroencephalogram (EEG) was recorded from 19 scalp locations from 246 healthy subjects ranging from 3 to 75 years old. All participants were divided in to six groups: preschool childhood, middle childhood, adolescence, early adulthood, middle adulthood, late adulthood. We recorded EEG with closed eyes, open eyes and during fingernails scratching auditory stimulation. The comparative analysis included spectral analysis, peak alpha frequency, correlation dimension D2 and stability of rhythms. We found significant age differences in 6 age groups using the described methods. Moreover, we've found the edge between adolescence and adulthood using narrowband D2 at alpha-rhythm frequencies. Unpleasant auditory stimulation proved to be more sensitive to age differences in comparison with resting states. Our results support previous findings describing aging and developmental EEG changes, but also provide qualitatively new results.

Authors and Affiliations

Galina V. Portnova, Mikhail S. Atanov

Keywords

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  • EP ID EP748617
  • DOI -
  • Views 28
  • Downloads 0

How To Cite

Galina V. Portnova, Mikhail S. Atanov (2016). Age-Dependent Changes of the EEG Data: Comparative Study of Correlation Dimension D2, Spectral Analysis, Peak Alpha Frequency and Stability of Rhythms. International Journal of Innovative Research in Computer Science and Technology, 4(2), -. https://europub.co.uk/articles/-A-748617