Abstract
The dynamical pattern of EEG transmission during an auditory working memory task was investigated by means of the Short-time Directed Transfer Function. The obtained temporal and spatial patterns of propagation were found to be in line with the neurophysiological hypotheses concerning the synchronization within and between the frontal and parietal brain structures. In particular the role of gamma and theta activity in information processing during a working memory task was elucidated. The modular organization of the brain networks was quantified by means of assortative mixing approach. The similarities and differences in the information transfer during visual and auditory working memory tasks were discussed.
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References
Engel, E., Fries, P. & Singer, W. 2001 Dynamic predictions: oscillations and synchrony in top-down processing. Nat.Rev. Neurosci. 2, 704-716.
Varela F, Lachaux J-P, Rodriguez E, Martinerie J 2001) The brainweb: phase synchronization and large-scale integration. Nat Rev Neurosci 2:229–239.
Friese U, Koster M, Hassier U, Martens U et al. (2013) Successful memory encoding is associated with increased cross-frequency coupling between frontal theta and posterior gamma oscillations in human scalp-recorded EEG. NeuroImage 66:642-647.
Sauseng P, Klimesch W, Schabus M, Doppelmayr M. (2005) Fronto-parietal coherence in theta and upper alpha reflect central executive functions of working memory. Int. J. Psychophysiol. 57(2), 97-103.
Brzezicka, A., Kaminski, M., Kaminski, J. & Blinowska, K. J., 2010. Information transfer during transitive reasoning task. Brain Topography 24, 1–8.
Blinowska K.J., Kaminski M., Brzezicka A., Kaminski J., 2013. Application of directed transfer function and network formalism for assessment of functional connectivity in working memory task, Phil. Trans. Roy. Soc. London. A 371: 20110614 (2013).
Kamiński, M. & Blinowska, K. J., 1991. A new method of the description of the information flow in brain structures. Biol Cybern. 65, 203-210.
Blinowska, K. J. & Kaminski, M., 2006. Multivariate Signal Analysis by parametric Models. In Handbook of Time Series Analysis (eds. B. Schelter, M. Winterhalder & J. Timmer), pp. 387-420. Wiley-VCH Verlag.
Kaminski M, Blinowska K J, Directed Transfer Function is not influenced by volume conduction—inexpedient pre-processing should be avoided, Frontiers in Computational Neuroscience, 8, No. 00061 (2014).
Blinowska, K. J., Kuś, R. & Kamiński, M., 2004. Granger causality and information flow in multivariate processes. Phys. Rev. E 70, 050902.
K. J. Blinowska, M. Kaminski, Functional brain networks: random, “small world” or deterministic? PLosOne 8(10), e78763 (2013).
Blinowska, K. J & Zygierewicz, J., 2011. Practical Biomedical Signal Analysis Using Matlab, CRC Press, Boca Raton, London, New York.
Blinowska K. J. (2011). Review of the methods of determination of directed connectivity from multichannel data. Med. & Biol. Engin. & Comput. 49(5), 521-529.
Newman, M. E. J. 2003 Mixing patterns in networks. Phys. rev. E 67, 026126.
Watts, D. J. & Strogatz, S.H. 1998 Collective dynamic of small-world network. Nature 39; 440-442.
Blinowski G., Kaminski M., Wawer D. (2014) Trans3D: A free tool for dynamical visualization of EEG activity transmission in the brain. Computers in Biology and Medicine, 51, 214–222.
Cabeza, R. & Nyberg, L. 2000. Imaging cognition II. An empirical review of 275 PET and fMRI studies. J. Cogn. Neurosci. 12, 1-47.
Onton, J., Delorme, A., and Makeig, S. (2005). Frontal midline EEG dynamics during working memory. Neuroimage 27, 341–356. doi: 10.1016/j.neuroimage.2005.04.014.
Klimesch, W., Schack, B., and Sauseng, P. (2005). The functional significance of theta and upper alpha oscillations for working memory: a review. Exp. Psychol. 52, 99–108. doi: 10.1027/1618-3169.52.2.9.
Jensen O, Gelfand J, KouniosJ et al. (2002) Oscillations in the Alpha Band (9–12 Hz) Increase with Memory Load during Retention in a Short-term Memory Task Cereb. Cortex 12 (8): 877-882.
Dehaene S, Kershberg M, Changeux J-P (1998) A neuronal model of a global workspace in effortful cognitive tasks. PNAS 9(24):14529-14534.
Bressler SL, Menon V. (2010) Large-scale brain networks in cognition: emerging methods and principles. Trends Cogn. Sci. 14:277-290.
Changizi, M. A. 2006 Scaling the brain and its connections, In The Evolution of Nervous Systems in Mammals (eds J. Kaas & L. Krubitzer), pp. 181–187, Academic Press, Oxford.
Sole, R. V. & Valverde, S. 2008 Spontaneous emergence of modularity in cellular networks. J.R. Soc. Interface 5, 129-133.
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Kaminski, M., Brzezicka, A., Kaminski, J., Blinowska, K.J. (2016). Information Transfer During Auditory Working Memory Task. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_4
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DOI: https://doi.org/10.1007/978-3-319-32703-7_4
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