Methods Inf Med 2005; 44(01): 106-113
DOI: 10.1055/s-0038-1633932
Original Article
Schattauer GmbH

Propagation of EEG Activity in the Beta and Gamma Band during Movement Imagery in Humans

J. Ginter Jr.
1   Laboratory of Medical Physics, Warsaw University, Poland
,
K. J. Blinowska
1   Laboratory of Medical Physics, Warsaw University, Poland
,
M. Kamiński
1   Laboratory of Medical Physics, Warsaw University, Poland
,
P. J. Durka
1   Laboratory of Medical Physics, Warsaw University, Poland
,
G. Pfurtscheller
2   Department of Medical Informatics, Institute of Biomedical Engineering, Technical University Graz, Graz, Austria
,
C. Neuper
3   Institute of Biomedical Engineering, Graz University of Technology, Graz, Austria
› Author Affiliations
Further Information

Publication History

Received: 22 October 2003

accepted: 25 August 2004

Publication Date:
06 February 2018 (online)

Summary

Objectives: The objective of the paper was the determination of electrical brain activity propagation in sensorimotor areas during hand movement imagery.

Methods: Right-hand and left-hand movement imagination was studied in three subjects. The 10-channel Multivariate Autoregressive Model (MVAR) was fitted to EEG signals recorded from subsets of electrodes overlying central and related brain areas. By means of the Short-time Directed Transfer Function (SDTF) the propagation of brain activity as a function of frequency and time was found.

Results: During imagery the relation between propagations in gamma and beta bands changed significantly for electrodes overlying sensorimotor areas, namely the increase in gamma was accompanied by the decrease in the beta band.

Conclusions: The hypothesis was put forward that these kinds of changes in flow of electrical brain activity are connected with the specific information processing.

 
  • References

  • 1 Pfurtscheller G, Neuper C. Motor imagery activates primary sensorimotor area in humans. Neurosci Lett 1997; 239: 65-8.
  • 2 Kamiński M, Blinowska KJ. A new method of the description of the information flow in the brain structures. Biol Cybern 1991; 65: 203-10.
  • 3 Granger CWJ. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 1969; 37: 424-38.
  • 4 Kamiński M, Ding M, Truccolo W, Bressler S. Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance. Biol Cybern 2001; 85: 145-57.
  • 5 Ding M, Bressler SL, Yang W, Liang H. Shortwindow spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment. Biol Cybern 2000; 83: 35-45.
  • 6 Ginter Jr J, Blinowska KJ, Kamiński M, Durka PJ. Phase and amplitude analysis in time-frequency space – application to voluntary finger movement. J Neurosci Methods 2001; 110: 113-24.
  • 7 Pfurtscheller G, Neuper Ch, Kalcher J. 40-Hz oscillations during motor behavior in man. Neurosci Lett 1993; 162: 179-82.
  • 8 De France J, Sheer DE. Focused arousal, 40-Hz EEG and motor programming. In. Giannitrapani G, Murri L. editors. The EEG of Mental Activities. Karger, Basel: 1988: 153-68.
  • 9 Crone NE, Miglioretti DL, Gordon B, Lesser RP. Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis II: Event-related synchronization in the gamma band. Brain 1998; 121: 2301-15.
  • 10 Akaike H. A new look at statistical model identification. IEEE Trans Aut Contr 1974; 19: 716-23.
  • 11 Franaszczuk P, Blinowska KJ, Kowalczyk M. The application of parametric multichannel spectral estimates in the study of electrical brain activity. Biol Cybern 1985; 51: 239.
  • 12 Granger CWJ. Testing for causality: a personal viewpoint. J Econ Dyn Contr 1980; 2: 329-52.
  • 13 Decety J, Perani D, Jeannerod M, Bettinardi V, Tadardy B, Woods R, Mazziotta J, Fazio F. Mapping motor representations with positron emission tomography. Nature 1994; 371: 6498.
  • 14 Porro CA, Francescato MP, Cettolo V, Diamond ME, Baraldi P, Zuiani C, Bazzocchi M, di Prampero PE. Primary motor and sensory cortex activation during motor performance and motor imagery: a functional magnetic resonance imaging study. J Neurosci 1996; 16: 7688-98.
  • 15 Roth M, Decety J, Raybaudi M, Massarelli R, Delon-Martin C, Segebarth C, Decorps M, Jeannerod M. Possible involvement of primary motor cortex in mentally simulated movement: a functional magnetic resonance imaging study. Neuroreport 1996; 7: 1280-4.
  • 16 Neuper C, Pfurtscheller G. Motor imagery and ERD. In Pfurtscheller G, Lopes da Silva FH, editors. Event-Related Desynchronization. Handbook of Electroencephalography and Clinical Neurophysiology. Revised Edition, Vol,. 6. Amsterdam: Elsevier; 1999: 303-25.
  • 17 Stancák A, Pfurtscheller G. Event-related desynchronization of central beta rhythms during brisk and slow self-paced finger movements of dominant and nondominant hand. Cog Brain Res 1996; 4: 171-83.
  • 18 Crone NE, Miglioretti DL, Gordon B, Sieracki JM, Wilson MT, Uematsu S. Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis I: Alpha and beta event-related desynchronization. Brain 1998; 121: 2271-99.
  • 19 Kopell N, Ermentrout GB, Whittington MA, Traub D. Gamma rhythms and beta rhythms have different synchronization properties. PNAS 2000; 97: 1867-72.
  • 20 Bressler SL. The gamma wave: a cortical information carrier?. Trends Neurosci 1990; 13: 161-2.
  • 21 Singer W, Gray CM. Visual feature integration and the temporal correlation hypothesis. Ann Rev Neurosci 1995; 18: 555-86.