Today: Nov 18, 2024
RU / EN
Last update: Oct 30, 2024
Characteristics of Spatial Synchronization of Encephalograms in Left- and Right-Handed Subjects in Resting State and During Cognitive Testing: a Graph-Theory Analysis

Characteristics of Spatial Synchronization of Encephalograms in Left- and Right-Handed Subjects in Resting State and During Cognitive Testing: a Graph-Theory Analysis

Lukoyanov M.V., Grechikhin I.S., Kalyagin V.A., Pardalos P.M., Mukhina I.V.
Key words: brain functional relationship; neuronal network; graph theory; minimum spanning tree; hand preference; electroencephalography.
2014, volume 6, issue 2, page 6.

Full text

html pdf
1418
1694

Hand preference is one of the most striking manifestations of functional brain asymmetry. However, the nature of the phenomenon, as well as its interaction with other brain functions has not been fully understood. Therefore, the study of brain peculiarities of left- and right-handed subjects by neuronal network analysis is of particular interest.

The aim of the investigation was to analyze brain network structures according to electroencephalography findings in left- and right-handed subjects in resting state and during cognitive testing (memorizing) using a graph theory.

Materials and Methods. 44 volunteers (20 left-handed, 24 right-handed) took part in the experiment. We used three techniques to calculate the degree of spatial synchronization of EEG-signals: coherence, an imaginary part of coherence, and synchronization likelihood. On basis of the obtained graphs we built minimum spanning trees (MST) and calculated some of their characteristics.

Results. Left-handers compared to right-handers were found to have more linear MST in theta band (coherence-based MST). Memorizing was characterized by the increase of MST regularity structure in alpha band for all three signal measures (coherence, an imaginary part of coherence, and synchronization likelihood). And only right-handers showed the increase in regularity for MST built on the basis of synchronization likelihood and imaginary part of coherence. Regularity increase in alpha band for coherence-based MST was not associated with handedness. Thus, MST based on synchronization li-kelihood and an imaginary part of coherence are more sensitive to differences between left- and right-handers during memorizing.

  1. Liu H., Stufflebeam S.M., Sepulcre J., Hedden T., Buckner R.L. Evidence from intrinsic activity that asymmetry of the human brain is controlled by multiple factors. Proc Natl Acad Sci 2009; 106(48): 20499–20503, http://dx.doi.org/10.1073/pnas.0908073106.
  2. Shaw J.C., O’Connor K.P., Ongley C. The EEG as a measure of cerebral functional organization. Br J Psychiatry 1977; 130(3): 260–264.
  3. Giannitrapani D. Spectral analysis of the EEG. In: Computerised EEG analysis. Dolce G., Kuenkel H. (editors). Stuttgart: Fischer Verlag; 1975; 384–402.
  4. Jorge M.S., Botelho R.V., Melo A.C. de P. Study of interhemispheric coherence on healthy adults. Arq Neuropsiquiatr 2007; 65(2B): 377–380, http://dx.doi.org/10.1590/S0004-282X2007000300002.
  5. Nielsen T., Abel A., Lorrain D., Montplaisir J. Interhemispheric EEG coherence during sleep and wakefulness in left- and right-handed subjects. Brain Cogn 1990; 14(1): 113–125.
  6. Boldyreva G.N., Zhavoronkova L.A., Sharova E.V., Dobronravova I.S. Electroencephalographic intercentral interaction as a reflection of normal and pathological human brain activity. Span J Psychol 2007; 10(1): 167–177.
  7. Bullmore E., Sporns O. The economy of brain network organization. Nat Rev Neurosci 2012; 13(5): 336–349, http://dx.doi.org/10.1038/nrn3214.
  8. Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 2009; 10(3): 186–198, http://dx.doi.org/10.1038/nrn2575.
  9. Korenkevych D., Chien J.-H., Zhang J., Shiau D.-S., Sackellares C., Pardalos P.M. Small world networks in computational neuroscience. In: Pardalos P.M., Du D.-Z., Graham R.L. (editors). Handbook of combinatorial optimization. New York: Springer; 2013; p. 3057–3088.
  10. Oldfield R.C. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 1971; 9(1): 97–113.
  11. Bassett D.S., Bullmore E. Small-world brain networks. Neuroscientist 2006; 12(6): 512–523, http://dx.doi.org/10.1177/1073858406293182.
  12. Stam C.J. Functional connectivity patterns of human magnetoencephalographic recordings: a ‘small-world’ network? Neurosci Lett 2004; 355(1–2): 25–28, http://dx.doi.org/10.1016/j.neulet.2003.10.063.
  13. Van Wijk B.C., Stam C.J., Daffertshofer A. Comparing brain networks of different size and connectivity density using graph theory. PLoS ONE 2010; 5(10): e13701, http://dx.doi.org/10.1371/journal.pone.0013701.
  14. Boersma M., Smit D.J., Boomsma D.I., De Geus E.J., Delemarre-van de Waal H.A., Stam C.J. Growing trees in child brains: graph theoretical analysis of electroencephalography-derived minimum spanning tree in 5-and 7-year-old children reflects brain maturation. Brain Connect 2013; 3(1): 50–60, http://dx.doi.org/10.1089/brain.2012.0106.
  15. Nolte G., Bai O., Wheaton L., Mari Z., Vorbach S., Hallett M. Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin Neurophysiol 2004; 115(10): 2292–2307, http://dx.doi.org/10.1016/j.clinph.2004.04.029.
  16. Smit D.J.A., Boersma M., Schnack H.G., Micheloyannis S., Boomsma D.I., Hulshoff Pol H.E. The brain matures with stronger functional connectivity and decreased randomness of its network. PLoS ONE 2012; 7(5): e36896, http://dx.doi.org/10.1371/journal.pone.0036896.
  17. Kruskal J.B. On the shortest spanning subtree of a graph and the traveling salesman problem. Proc Am Math Soc 1956; 7(1): 48–50.
  18. Lawrence M.A. Easy analysis and visualization of factorial experiments. 2011, http://CRAN.R-project.org/package=ez.
  19. Semmes J. Hemispheric specialization: a possible clue to mechanism. Neuropsychologia 1968; 6(1): 11–26.
  20. Başar E., Gütekin E. B. A short review of alpha activity in cognitive processes and in cognitive impairment. Int J Psychophysiol 2012; 86(1): 25–38, http://dx.doi.org/10.1016/j.ijpsycho.2012.07.001.

Lukoyanov M.V., Grechikhin I.S., Kalyagin V.A., Pardalos P.M., Mukhina I.V. Characteristics of Spatial Synchronization of Encephalograms in Left- and Right-Handed Subjects in Resting State and During Cognitive Testing: a Graph-Theory Analysis. Sovremennye tehnologii v medicine 2014; 6(2): 6


Journal in Databases

pubmed_logo.jpg

web_of_science.jpg

scopus.jpg

crossref.jpg

ebsco.jpg

embase.jpg

ulrich.jpg

cyberleninka.jpg

e-library.jpg

lan.jpg

ajd.jpg

SCImago Journal & Country Rank