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Statistical study of the EEG in motor tasks (real and imaginary)

Author

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  • Filho, F.M. Oliveira
  • Ribeiro, F.F.
  • Cruz, J.A. Leyva
  • de Castro, A.P. Nunes
  • Zebende, G.F.

Abstract

EEG is one of the techniques more used to assess the extent of damage from these deficiencies and even to find solutions such as rehabilitation or limb replacement using a bionic prosthesis, through brain-computer interface. That is why it is of vital importance that we understand the functioning of the primary motor cortex of the brain in the control of real/imaginary tasks. From Physionet database, with two-minute EEG recordings in three different experiments (real/imaginary), we applied DFA and DCCA methods to find auto-correlations and cross-correlations. DFA method was capable of quantitatively describing similarities when the brain performs the same motor task, and show there are three time-scales. After, in order to compare the fluctuation amplitude of an EEG signal in relation to the other channels and measure these cross-correlations, we applied ΔlogFDFA function and ρDCCA coefficient. Thus, choosing the F3 channel (front) as the reference, we identified generally that: ΔlogFDFA[F3:xx]≥0 and ρDCCA>0. The channels: Cz, F6, T9, and T10, are those that have a higher level of DCCA cross-correlation, if compared to the channel F3. The time scale II, with 16

Suggested Citation

  • Filho, F.M. Oliveira & Ribeiro, F.F. & Cruz, J.A. Leyva & de Castro, A.P. Nunes & Zebende, G.F., 2023. "Statistical study of the EEG in motor tasks (real and imaginary)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 622(C).
    • Handle: RePEc:eee:phsmap:v:622:y:2023:i:c:s0378437123003576
    DOI: 10.1016/j.physa.2023.128802
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    References listed on IDEAS

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    1. Gilney Figueira Zebende & Florêncio Mendes Oliveira Filho & Juan Alberto Leyva Cruz, 2017. "Auto-correlation in the motor/imaginary human EEG signals: A vision about the FDFA fluctuations," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-13, September.
    2. Lahmiri, Salim, 2018. "Generalized Hurst exponent estimates differentiate EEG signals of healthy and epileptic patients," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 378-385.
    3. Mirzayof, Dror & Ashkenazy, Yosef, 2010. "Preservation of long range temporal correlations under extreme random dilution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5573-5580.
    4. Alfredo Rueda & Florian Sedlmeir & Madhuri Kumari & Gerd Leuchs & Harald G. L. Schwefel, 2019. "Resonant electro-optic frequency comb," Nature, Nature, vol. 568(7752), pages 378-381, April.
    5. Nader A. B. Al Theeb & Ahmad Eyad Taha & Mohammad Yousef Al Atari, 2019. "Selection of Electric Vehicles for Public Use Using AHP," Journal of ICT, Design, Engineering and Technological Science, Juhriyansyah Dalle, vol. 3(2), pages 25-30.
    6. Yu, Haitao & Liu, Jing & Cai, Lihui & Wang, Jiang & Cao, Yibin & Hao, Chongqing, 2017. "Functional brain networks in healthy subjects under acupuncture stimulation: An EEG study based on nonlinear synchronization likelihood analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 566-577.
    7. Langbroek, Joram H.M. & Cebecauer, Matej & Malmsten, Jon & Franklin, Joel P. & Susilo, Yusak O. & Georén, Peter, 2019. "Electric vehicle rental and electric vehicle adoption," Research in Transportation Economics, Elsevier, vol. 73(C), pages 72-82.
    8. Zebende, G.F., 2011. "DCCA cross-correlation coefficient: Quantifying level of cross-correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 614-618.
    9. Chen, Yingyuan & Cai, Lihui & Wang, Ruofan & Song, Zhenxi & Deng, Bin & Wang, Jiang & Yu, Haitao, 2018. "DCCA cross-correlation coefficients reveals the change of both synchronization and oscillation in EEG of Alzheimer disease patients," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 171-184.
    10. Pavlov, A.N. & Runnova, A.E. & Maksimenko, V.A. & Pavlova, O.N. & Grishina, D.S. & Hramov, A.E., 2018. "Detrended fluctuation analysis of EEG patterns associated with real and imaginary arm movements," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 777-782.
    11. Oliveira Filho, F.M. & Leyva Cruz, J.A. & Zebende, G.F., 2019. "Analysis of the EEG bio-signals during the reading task by DFA method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 664-671.
    12. Hai-Tian Zhang & Fan Zuo & Feiran Li & Henry Chan & Qiuyu Wu & Zhan Zhang & Badri Narayanan & Koushik Ramadoss & Indranil Chakraborty & Gobinda Saha & Ganesh Kamath & Kaushik Roy & Hua Zhou & Alexande, 2019. "Perovskite nickelates as bio-electronic interfaces," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
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    Cited by:

    1. Ge, Xinlei & Lin, Aijing, 2023. "Quantifying the direct and indirect interactions for EEG signals by using detrended permutation mutual information," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).

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