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Common and Individual Features in Differences in EEG Frequency Spectra on Solution of Verbal and Spatial Tasks

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Previous studies have demonstrated that the types of spatial-figurative and verbal-logical tasks performed by subjects can be discriminated using a trained classifier analyzing EEG power spectral characteristics individual to each subject. We report here studies using a subset of the same tasks but directed to detecting differences in EEG spectral power associated with the nature of the tasks, common to the group of subjects (31 subjects). Contrasting distributions of statistically significant differences by frequency range coincided qualitatively with the rankings of ranges based on assessments of the effectiveness of the recognition of the type of activity using the trained classifier, except for the theta range. Comparison of general (group) and individual measures showed a more significant level of involvement of the mechanisms of semantic memory in solving verbal tasks and possible differences in the balance of internal and external attention on performance of verbal-logical and spatial-figurative activity.

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References

  1. R. I. Roman and N. O. Machinskii, “EEG study of the functional organization of the right and left hemispheres on solution of verbal and spatial tasks,” Zh. Vyssh. Nerv. Deyat., 34, No. 3, 412–420 (1984).

    Google Scholar 

  2. G. A. Ivanitskii, “Recognition of the type of task solved from EEG traces lasting a few seconds using a trained classifier,” Zh. Vyssh. Nerv. Deyat., 47, No. 4, 743–747 (1997).

    CAS  Google Scholar 

  3. G. A. Ivanitskii, R. A. Naumov, and A. M. Ivanitskii, “Techniques for identifying the type of mentally performed operations from electroencephalogram patterns,” Tekhnol. Zhiv. Sistem, 4, No. 4–5, 20–28 (2007).

    Google Scholar 

  4. A. R. Nikolaev, G. A. Ivanitskii, and A. M. Ivanitskii, “Reproducible patterns of EEG of the alpha rhythm on solution of psychological tasks,” Fiziol. Cheloveka, 24, No. 3, 5–12 (1998).

    CAS  PubMed  Google Scholar 

  5. O. M. Razumnikova, N. V. Vol’f, and I. V. Tarasova, “Effects of motivation on changes in the power of cerebral cortex biopotentials on performance of imaginal and verbal creative tasks,” Zh. Vyssh. Nerv. Deyat., 57, No. 5, 553–561 (2007).

    CAS  Google Scholar 

  6. A. O. Roik and G. A. Ivanitskii, “A neurophysiological model of the cognitive space,” Zh. Vyssh. Nerv. Deyat., 61, No. 6, 688–696 (2011).

    CAS  Google Scholar 

  7. L. I. Aftanas and S. A. Golocheikine, “Human anterior and frontal midline theta and lower alpha reflect emotionally positive stage and internalized attention: high-resolution EEG investigation of meditation,” Neurosci. Lett., 310, No. 1, 57–60 (2001).

    Article  CAS  PubMed  Google Scholar 

  8. N. R. Cooper, A. P. Burgess, R. J. Croft, and J. H. Gruzelier, “Investigating evoked and induced electroencephalogram activity in task-related alpha power increases during an internally directed attention task,” Neuroreport, 17, No. 2, 205–208 (2006).

    Article  PubMed  Google Scholar 

  9. N. R. Cooper, R. J. Croft, S. J. Dominey, et al., “Paradox lost? Exploring the role of alpha oscillations during externally vs. internally directed attention and the implications for idling and inhibition hypotheses,” Int. J. Psychophysiol., 7, No. 1, 65–74 (2003).

    Article  Google Scholar 

  10. M. Doppelmayr, W. Klimesch, K. Hödlmoser, et al., “Intelligence related upper alpha desynchronization in a semantic memory task,” Brain Res. Bull., 66, No. 2, 171–177 (2005).

    Article  CAS  PubMed  Google Scholar 

  11. S. Gutiérrez and M. Corsi-Cabrera, “EEG activity during performance of cognitive tasks demanding verbal and/or spatial processing,” Int. J. Neurosci., 42, No. 1–2, 149–155 (1988).

    Article  PubMed  Google Scholar 

  12. T. Harmony, T. Fernández, J. Gersenowies, et al., “Specific EEG frequencies signal general common cognitive processes as well as specific task processes in man,” Int. J. Psychophysiol., 53, No. 3, 207–216 (2004).

    Article  PubMed  Google Scholar 

  13. T. Jung, S. Makeig, C. Humphries, et al., “Removing electroencephalographic artifacts by blind source separation,” Psychophysiology, 37, 163–178 (2000).

    Article  CAS  PubMed  Google Scholar 

  14. W. Klimesch, “EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis,” Brain Res. Brain Res. Rev., 29, No. 2–3, 169–195 (1999).

    Article  CAS  PubMed  Google Scholar 

  15. Z. J. Coles, J. C. Lind, and P. Henry-Flor, “Gender differences in brain functional organization during verbal and spatial cognitive challenges,” Brain Topogr., 23, No. 2, 199–204 (2010).

    Article  Google Scholar 

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Correspondence to S. G. Dan’ko.

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Translated from Zhurnal Vysshei Nervnoi Deyatel’nosti imeni I. P. Pavlova, Vol. 63, No. 4, pp. 431–436, July–August, 2013.

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Dan’ko, S.G., Ivanitskii, G.A., Boitsova, Y.A. et al. Common and Individual Features in Differences in EEG Frequency Spectra on Solution of Verbal and Spatial Tasks. Neurosci Behav Physi 44, 888–891 (2014). https://doi.org/10.1007/s11055-014-9997-z

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  • DOI: https://doi.org/10.1007/s11055-014-9997-z

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