, Volume 40, Issue 5–6, pp 369–376 | Cite as

Modifications of EEG in Humans Performing Cyclic Movements by the Fingers of the Right Arm: Effect of Local Contralateral Cooling

  • V. V. Garkavenko
  • E. P. Man’kovskaya
  • T. G. Omel’chenko
  • A. V. Gorkovenko
  • A. N. Shevko

In a group of 11 volunteers, we examined changes in EEG during voluntary cyclic movements of the fingers of the right arm providing the movement of a flexible ring-like cord. The performance of full rotation of the ring for the first and the second time was considered the first and the second phase of the test, Ph1 and Ph2, respectively. This motor test was realized under different conditions, namely in the absence of additional somatic stimulation (condition 1) and in the course of intense, but non-painful, local cooling of the fingers of the left arm (condition 2). Independently of the conditions of the motor test, the spectral power (SP) of the 2–4-Hz rhythm increased (especially within Ph2), while SPs of the theta2, alpha1, and alpha2 rhythms in the course of Ph1 decreased. Within Ph2 under condition 1, the SP of theta1 oscillations intensified. A drop in the SP of alpha oscillations in the course of Ph1 with respect to the background state was observed only under condition 1 and was clearer in the alpha2 rhythm. Under condition 2, as compared with condition 1, the SP of the theta1 rhythm and values of the theta1/alpha1 and theta1/alpha2 SP ratios decreased within both phases of the test. These shifts probably reflected mobilization of the attention resources in the course of realization of the movements under conditions of additional sensory stimulation. During cooling (condition 2), the indices of interindividual variability of changes in the SPs within the Ph2 of the motor test increased for the alpha rhythms and decreased for delta oscillations, as compared with the respective values within the first phase. These data demonstrate that local cooling of a sub-painful intensity significantly modulates the EEG pattern during realization of local rhythmic movements.


EEG frequency EEG components (rhythms) voluntary movements rhythmic movements cold stimulation 


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  1. 1.
    C. Neuper, M. Wortz, and G. Pfurtscheller, “ERD/ERS patterns reflecting sensorimotor activation and deactivation,” Prog. Brain Res., 159, 211–222 (2006).PubMedCrossRefGoogle Scholar
  2. 2.
    W. Szurhaj, P. Derambure, E. Labyt, et al., “Basic mechanisms of central rhythms reactivity to preparation and execution of a voluntary movement: a stereoelectroe ncephalographic study,” Clin. Neurophysiol., 114, No. 1, 107–119 (2003).PubMedCrossRefGoogle Scholar
  3. 3.
    G. Paradiso, D. Cunic, J. A. Saint-Cyr, et al., “Involvement of human thalamus in the preparation of self-paced movement,” Brain, 127, No. 12, 2717–2731 (2004).PubMedCrossRefGoogle Scholar
  4. 4.
    D. Sochurkova, I. Rektor, P. Jurak, et al., “Intracerebral recording of cortical activity related to self-paced voluntary movements: a Bereitschaftspotential and eventrelated desynchronization/synchronization. SEEG study,” Exp. Brain Res., 173, No. 4, 637–649 (2006).PubMedCrossRefGoogle Scholar
  5. 5.
    M. P. Deiber, R. Caldara, V. Ibanez, and C. A. Hauert, “Alpha band power changes in unimanual and bimanual sequential movements, and during motor transition,” Clin. Neurophysiol., 112, 1419–1435 (2001).PubMedCrossRefGoogle Scholar
  6. 6.
    L. Leocani, M. Locatelli, L. Bellodi, et al., “Abnormal pattern of cortical activation associated with voluntary movement in obsessive-compulsive disorder: an EEG study,” Am. J. Psychiat., 158, No. 1, 140–142 (2001).PubMedCrossRefGoogle Scholar
  7. 7.
    I. N. Krylov, “Possible mechanisms of delay in initiation of voluntary movements,” Neurosci. Behav. Physiol., 28, No. 4, 402–408 (1998).PubMedCrossRefGoogle Scholar
  8. 8.
    V. K. Lim, J. P. Hamm, W. D. Byblow, et al., “Decreased desynchronization during self-paced movements in frequency bands involving sensorimotor integration and motor functioning in Parkinson’s disease,” Brain Res. Bull., 71, Nos. 1/3, 245–251 (2006).PubMedCrossRefGoogle Scholar
  9. 9.
    Е. А. Zhirmounskaya, “Relation of psychological and electrophysiological phenomena,” in: Neurodynamics of the Brain in Optico-Gnostic Activity [in Russian], Meditsina, Moscow (1974), pp. 17–48.Google Scholar
  10. 10.
    G. Walter, Living Brain [Russian translation], Mir, Moscow (1966).Google Scholar
  11. 11.
    H. Petsche and P. Rappelsberger, “Is there any message hidden in the human EEG?” in: Induced Rhythms in the Brain, E. Basar and T. H. Bullock (eds.), Birkhauser, Boston (1992), pp. 103–116.Google Scholar
  12. 12.
    D. B. Lindsley and J. D. Wicke, “The electroencephalogram: Autonomous electrical activity in man and animals,” in: Bioelectric Recording Techniques, R. Thompson and M. N. Patterson (eds.), Academic Press, New York (1974), pp. 3–79.Google Scholar
  13. 13.
    G. E. Chatrian, M. C. Petersen, and J. A. Lazarte, “The blocking of the rolandic wicket rhythm and some central changes related to movement,” Electroencephalogr. Clin. Neurophysiol., 11, No. 3, 497–510 (1959).PubMedCrossRefGoogle Scholar
  14. 14.
    G. Pfurtscheller and A. Berghold, “Patterns of cortical activation during planning of voluntary movement,” Electroencephalogr. Clin. Neurophysiol., 72, No. 3, 250–258 (1989).PubMedCrossRefGoogle Scholar
  15. 15.
    H. Petsche, S. Kaplan, A. Von Stein, et al., “The possible meaning of the upper and lower alpha frequency ranges for cognitive and creative tasks,” Int. J. Psychophysiol., 26, No. 1, 77 (1997).PubMedCrossRefGoogle Scholar
  16. 16.
    S. K. Lal and A. Craig, “Driver fatigue: electroencephalography and psychological assessment,” Psychophysiology, 39, No. 3, 313–321 (2002).PubMedCrossRefGoogle Scholar
  17. 17.
    L. I. Aftanas, N. V. Reva, A. A. Varlamov, et al., “Analysis of evoked EEG synchronization and desynchronization in conditions of emotional activation in humans: temporal and topographic characteristics,” Neurosci. Behav. Physiol., 34, No. 8, 859–867 (2004).PubMedCrossRefGoogle Scholar
  18. 18.
    C. M. Gomez, E. Vaquero, D. Lopez-Mendoza, et al., “Reduction of EEG power during expectancy periods in humans,” Acta Neurobiol. Exp., 64, No. 2, 143–151 (2004).Google Scholar
  19. 19.
    T. Weiss, M. Sust, L. Beyer, et al., “Theta power decreases in preparation for voluntary isometric contractions performed with maximal subjective effort,” Neurosci. Lett., 193, No. 3, 153–156 (1995).PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, Inc. 2008

Authors and Affiliations

  • V. V. Garkavenko
    • 1
  • E. P. Man’kovskaya
    • 1
  • T. G. Omel’chenko
    • 1
  • A. V. Gorkovenko
    • 1
  • A. N. Shevko
    • 1
  1. 1.Bogomolets Institute of PhysiologyNational Academy of Sciences of UkraineKyivUkraine

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