Skip to main content
SpringerLink
Log in

Functional Organization of the Brain during Preparation for Recognition of Image Fragments

  • Published:
Neuroscience and Behavioral Physiology Aims and scope Submit manuscript

Studies in adult subjects (n = 36) analyzed functional interactions in the prefrontal areas of the cortex with other cortical zones during preparation to recognize incomplete figures with different levels of fragmentation during sequential approximation to the complete image. Functional interactions were measured in terms of the imaginary part of the complex coherence of the EEG α rhythm. The nature of rearrangements in intracortical interactions was found to differ in subjects with high and low levels of recognition success. In successful subjects, changes in intracortical interactions during the period preceding as yet unrecognized stimuli occurred mainly in the right hemisphere, while during the period preceding recognized stimuli changes were mainly in the left hemisphere. In this group of subjects, α-rhythm coherence in both hemispheres increased in the situation of focused attention as compared with the situation of nonspecific attention. In unsuccessful subjects, conversely, α-rhythm coherence levels in both the right and left hemispheres decreased significantly on focused attention as compared with nonspecific attention. These results provide evidence that the co-tuning of electrical activity in the cortical zones, in terms of the α rhythm, is one of the mechanisms of their functional unification during the period of preparation to recognize incomplete figures.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Aron, A. R., “Progress in executive-function research: From tasks to functions to regions to networks,” Curr. Direct. Psychol. Sci., 17, No. 2, 124–129 (2008).

    Article  Google Scholar 

  2. Bar M., “A cortical mechanism for triggering top-down facilitation in visual object recognition,” J. Cogn. Neurosci., 15, No. 4, 600–606 (2003).

    Article  PubMed  Google Scholar 

  3. Bezrukikh, M. M., “Central mechanisms of the organization and regulation of voluntary movements in children aged 6–10 years. I. Electrophysiological analysis of the process of preparation for movement,” Fiziol. Cheloveka, 23, No. 6, 31–39 (1997).

    CAS  PubMed  Google Scholar 

  4. Bollinger, J., Rubens M. T., Zanto, T. P., and Gazzaley, A. “Expectationdriven changes in cortical functional connectivity influence working- memory and long-term memory performance,” J. Neurosci., 30, No. 43, 14399–14410 (2010).

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  5. Bressler, S. L. and Tognoli, E., “Operational principles of neurocognitive networks,” Int. J. Psychophysiol., 60, No. 2, 139–148 (2006).

    Article  PubMed  Google Scholar 

  6. Darvas, F., Miller K. J., Rao, R. P. N., Ojemann, J. G., “Nonlinear phasephase cross-frequency coupling mediates communication between distant sites in human neocortex,” J. Neurosci., 29, No. 2, 426–435 (2009).

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  7. D’Esposito, M., “From cognitive to neural models of working memory,” Phil. Trans. R. Soc. Lond. B. Biol. Sci., 362, No. 1481, 761–772 (2007).

    Article  Google Scholar 

  8. Farber, D. A. and Petrenko, N. E., “Recognition of fragmented images and the mechanisms of memory,” Fiziol. Cheloveka, 34, No. 1, 5–15 (2008).

    CAS  PubMed  Google Scholar 

  9. Hanslmayr, S., Asian, A., Staudigl, T., et al., “Prestimulus oscillations predict visual perception performance between and within subjects,” Neuroimage, 37, No. 4, 1465–1473 (2007).

  10. Kostandov, E. A., “Effects of context on the plasticity of a cognitive set,” Fiziol. Cheloveka, 36, No. 5, 5–15 (2010).

    Google Scholar 

  11. Kurganskii, A. V. and Grigal, P. P., “Execution of a series of movements specified by a sequence of sensory signals. Individual differences in the nature of the initial stage of serial training,” Zh. Vyssh. Nerv. Deyat., 59, No. 6, 673–685 (2009).

    CAS  Google Scholar 

  12. Kurganskii, A. V., “Some questions of studies of corticocortical functional connections using a vector autoregression model of the multichannel EEG,” Zh. Vyssh. Nerv. Deyat., 60, No. 6, 740–759 (2010).

    CAS  Google Scholar 

  13. Kveraga, K., Ghuman, A. S., Kassam, K. S., et al., “Early onset of neural synchronization in the contextual associations network,” Proc. Natl. Acad. Sci. USA., 108, No. 8, 3389–3394 (2011).

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  14. Machinskaya, R. I. and Farber, D. A., “The cerebral organization of the information and regulatory components of working memory in adults and children aged 7–8 years,” in: Contemporary Experimental Psychology, Barabanshchikov, V. A. (ed.), RAS Institute of Psychology Press, Moscow (2011), Vol. 1, pp. 479–498.

  15. Machinskaya, R. I. and Kurganskii, A. V., “Comparative electrophysiological studies of the regulatory components of working memory in adults and children aged 7–8 years. Analysis of EEG rhythm coherence,” Fiziol. Cheloveka, 38, No. 1, 5–19 (2012).

    Google Scholar 

  16. Machinskaya, R. I., “Functional maturation of the brain and the formation of the neurophysiological mechanisms of selective focused attention in children of early school age,” Fiziol. Cheloveka, 32, No. 1, 26–36 (2006).

    Google Scholar 

  17. Machinskaya, R. I., Machinskii, N. O., and Deryugina, E. I., “Functional organization of the right and left hemispheres of the human brain in focused attention,” Fiziol. Cheloveka, 18, No. 6, 77–85 (1992).

    Google Scholar 

  18. Nolte, G., Bai O., Wheaton, L., et al., “Identifying true brain interaction from EEG data using the imaginary part of coherency,” Clin. Neurophysiol., 115, No. 10, 2292–2307 (2004).

    Article  PubMed  Google Scholar 

  19. Palva, J. M., Monto, S., Kulashekhar, S., and Palva, S. “Neuronal synchrony reveals working memory networks and predicts individual memory capacity,” Proc. Natl. Acad. Sci. USA, 107, No. 16, 7580–7585 (2010).

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  20. Patten, T. M., Rennie, C. J., Robinson, P. A., and Gong, P., “Human cortical traveling waves: dynamical properties and correlations with responses,” PLoS One, 7, No. 6, e38392 (2012).

  21. Petrenko, N. E. and Farber, D. A., “The cerebral organization of the recognition of fragmented images in subjects with different effectivenesses of performing this cognitive task,” Fiziol. Cheloveka, 39, No. 4, 13–22 (2013).

    CAS  PubMed  Google Scholar 

  22. Petrenko, N. E., “Event-related potentials on substitution of a visual perception strategy in a situation of recognition of a hierarchical stimulus,” Fiziol. Cheloveka, 34, No. 3, 23–29 (2008).

    CAS  PubMed  Google Scholar 

  23. Petrides, M. and Pandya, D. N., The Frontal Cortex. The Human Nervous System, Paxinos, G. and Mai, U. (eds.), Acad. Press, Amsterdam (2004) pp. 950–972.

  24. Posner, M. I. and Fan J., “Attention as an organ system,” Topics in Integrative Neuroscience: From cells to Cognition, Pomerantz, J. R. (ed.). Cambridge University Press, Cambridge (2008), pp. 31–62.

  25. Sauseng, P., Klimesch, W., Schabus, M., and Doppelmayr, M., “Frontoparietal EEG coherence in theta and upper alpha reflect central executive functions of working memory,” Int. J. Psychophysiol., 57, No. 2, 97–103 (2005).

    Article  PubMed  Google Scholar 

  26. Sehatpour, P., Molholm, S., Javitt, D. C., and Foxe, J. J., “Spatiotemporal dynamics of human object recognition processing: An integrated high-density electrical mapping and functional imaging study of ‘closure’ processes,” Neuroimage, 29, No. 2, 605–618 (2006).

  27. Van Dijk, H., Schoffelen, J. M., Oostenveld R., and Jensen, O., “Prestimulus oscillatory activity in the alpha band predicts visual discrimination ability,” J. Neurosci., 28, No. 8, 1816–1823 (2008).

    Article  PubMed  Google Scholar 

  28. Varela, F., Lachaux. J.-P., Rodriguez, E., and Martinerie, J., “The brainweb: Phase synchronization and large-scale integration,” Nat. Rev. Neurosci. , 2, 229–239 (2001).

  29. Von Stein, A., Chiang, C., and Konig, P., “Top–down processing mediated by interareal synchronization,” Proc. Natl. Acad. Sci. USA., 97, No. 26, 14748–14753 (2000).

    Article  Google Scholar 

  30. Winterer, G., Herrmann, W. M., and Coppola, R., “Electrophysiology in neuropsychiatric research: a network perspective,” CNS Spectr., 4, No. 8, 17–29 (1999).

    CAS  PubMed  Google Scholar 

  31. Yamagishi, N., Callan, D. E., Anderson, L. I., and Kawato, M., “Attentional changes in pre-stimulus oscillatory activity within early visual cortex are predictive of human visual performance,” Brain Res., 1197, No. 4, 115–122 (2008).

    Article  CAS  PubMed  Google Scholar 

  32. Zhuang, J., Peltier, S., He, S., et al., “Mapping the connectivity with structural equation modeling in an fMRI study of shape-from-motion task,” Neuroimage, 42, No. 2, 799–806 (2008).

Download references

Author information

Authors and Affiliations

  1. Institute of Developmental Physiology, Russian Academy of Education, Moscow, Russia

    D. A. Farber, R. I. Machinskaya, A. V. Kurganskii & N. E. Petrenko

Authors
  1. D. A. Farber
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R. I. Machinskaya
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. V. Kurganskii
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. N. E. Petrenko
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to D. A. Farber.

Additional information

Translated from Zhurnal Vysshei Nervnoi Deyatel’nosti imeni I. P. Pavlova, Vol. 64, No. 2, pp. 190–200, March–April, 2014.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Farber, D.A., Machinskaya, R.I., Kurganskii, A.V. et al. Functional Organization of the Brain during Preparation for Recognition of Image Fragments. Neurosci Behav Physi 45, 1055–1062 (2015). https://doi.org/10.1007/s11055-015-0185-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11055-015-0185-6

Keywords

Search

Navigation