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Time-frequency analysis of EEG signals evoked by voluntary, stimulated and imaginary motions

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Abstract

In order to investigate the characteristics of sensorimotor cortex during motor execution (ME), voluntary, stimulated and imaginary finger flexions were performed by ten volunteer subjects. Electroencephalogram (EEG) data were recorded according to the modified 10–20 International EEG System. The patterns were compared by the analysis of the motion-evoked EEG signals focusing on the contralateral (C3) and ipsilateral (C4) channels for hemispheric differences. The EEG energy distributions at alpha (8–13 Hz), beta (14–30 Hz) and gamma (30–50 Hz) bands were computed by wavelet transform (WT) and compared by the analysis of variance (ANOVA). The timefrequency (TF) analysis indicated that there existed a contralateral dominance of alpha post-movement event-related synchronization (ERS) pattern during the voluntary task, and that the energy of alpha band increased in the ipsilateral area during the stimulated (median nerve of wrist) task. Besides, the contralateral alpha and beta event-related desynchronization (ERD) patterns were observed in both stimulated and imaginary tasks. Another significant difference was found in the mean power values of gamma band(p<0.01)between the imaginary and other tasks. The results show that significant hemispheric differences such as alpha and beta band EEG energy distributions and TF changing phenomena (ERS/ERD) were found between C3 and C4 areas during all of the three patterns. The largest energy distribution was always at the alpha band for each task.

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References

  1. Kelly Michael. A history of the electrical activity of the brain: The first half-century[J]. JAMA Internal Medicine, 1962, 110(6): 932–934.

    Google Scholar 

  2. Nam C S, Jeon Y, Kim Y J et al. Movement imageryrelated lateralization of event-related (de)synchronization (ERD/ERS): Motor-imagery duration effects[J]. Clinical Neurophysiology, 2011, 122(3): 567–577.

    Article  Google Scholar 

  3. Suzuki S. An approach for the task performance estimation using biological signals just before and after the onset of voluntary motion[C]. In: IEEE ICCAS-SICE. Fukuoka, Japan, 2009.

    Google Scholar 

  4. Jasper Herbert, Penfield Wilder. Electrocorticograms in man: Effect of voluntary movement upon the electrical activity of the precentral gyrus[J]. Archiv für Psychiatrie und Nervenkrankheiten, 1949, 183(1/2): 163–174.

    Article  Google Scholar 

  5. Pfurtscheller G, Andrew C. Event-related changes of band power and coherence: Methodology and interpretation[J]. Journal of Clinical Neurophysiology, 1999, 16(6): 512–519.

    Article  Google Scholar 

  6. Wan Baikun, Liu Yangang, Ming Dong et al. Multi-pattern motor imagery recognition based on EEG features[J]. Journal of Tianjin University, 2010, 43(10): 895–900 (in Chinese).

    Google Scholar 

  7. Espinosa Manzanal Arnau. Event Related (de-)synchronization Patterns in Actual and Imagined Hand Movements[D]. Enginyeria de Telecomunicació, Spain, 2011.

    Google Scholar 

  8. McFarland D J, Miner L A, Vaughan T M et al. Mu and beta rhythm topographies during motor imagery and actual movements[J]. Brain Topography, 2000, 12(3): 177–186.

    Article  Google Scholar 

  9. Stavrinou M L, Liviu M, Laura C et al. Evaluation of cortical connectivity during real and imagined rhythmic finger tapping[J]. Brain Topography, 2007, 19(3): 137–145.

    Article  Google Scholar 

  10. Wan Baikun, Zhou Zhongxing, Liu Yawei et al. Detection of ERD/ERS signals based on ICA and PSD[J]. Journal of Tianjin University, 2008, 41(11): 1383–1390 (in Chinese).

    Google Scholar 

  11. Yan Zhiguo, You Xiaoming, Chen Jiamin et al. Motion classification of EMG signals based on wavelet packet transform and LS-SVMs ensemble[J]. Transactions of Tianjin University, 2009, 15(4): 300–307.

    Article  Google Scholar 

  12. Keissar K, Davrath L R, Akselrod S. Coherence analysis between respiration and heart rate variability using continuous wavelet transform [J]. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2009, 367(1892): 1393–1406.

    Article  MATH  Google Scholar 

  13. Rioul O, Vetterli M. Wavelets and signal processing[J]. Signal Processing Magazine, 1991, 8(4): 14–38.

    Article  Google Scholar 

  14. Reinerman-Jones Lauren, Taylor Grant, Cosenzo Keryl et al. Analysis of multiple physiological sensor data[J]. Foundations of Augmented Cognition, 2011, 6780: 112–119.

    Google Scholar 

  15. Gevins A, Chan C S, Sam-Vargas L. Towards measuring brain function on groups of people in the real world[J]. PLoS One, 2012, 7(9): e44676.

    Article  Google Scholar 

  16. Manganotti P, Gerloff C, Toro C et al. Task-related coherence and task-related spectral power changes during sequential finger movements[J]. Electroencephalography Clinical Neurophysiology, 1998, 109(1): 50–62.

    Article  Google Scholar 

  17. Gut M, Urbanik A, Forsberg L et al. Brain correlates of right-handedness[J]. Acta Neurobiologiae Experimentalis, 2007, 67(1): 43–51.

    Google Scholar 

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Correspondence to Dong Ming  (明 东).

Additional information

Supported by the National Natural Science Foundation of China (No. 81222021, No. 61172008, No. 81171423), National Key Technology Research and Development Program of the Ministry of Science and Technology of China (No. 2012BAI34B02) and Program for New Century Excellent Talents in University of the Ministry of Education of China (No. NCET-10-0618).

Ming Dong, born in 1976, male, Dr, Prof.

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Ming, D., Li, N., Fu, A. et al. Time-frequency analysis of EEG signals evoked by voluntary, stimulated and imaginary motions. Trans. Tianjin Univ. 20, 210–214 (2014). https://doi.org/10.1007/s12209-014-2180-3

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  • DOI: https://doi.org/10.1007/s12209-014-2180-3

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