Abstract
We analyze the topography of nonlinear functional connectivity in the EEG of two groups of German-native speakers, divided according to their English proficiency level (high or low), when listening to one text in German and one in English. Global interdependence was assessed in full-band EEG by means of an index of multivariate correlation derived from the normalized cross-mutual information between every two electrodes within each region of interest (ROI): three interhemispheric (frontal, centro-temporal and parietooccipital) and two intrahemispheric ones (left and right hemisphere). The results show clear topographic differences between the interhemispheric ROIs, but no differences between the intrahemispheric ROIs. Furthermore, there are also differences in language processing that depend on the proficiency level. We discuss these results and their implication along with recent findings on phase synchronization in the gamma band during second language processing.
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References
Pereda, E., Quian Quiroga, R., Bhattacharya, J.: Nonlinear multivariate analysis of neurophysiological signals. Prog. Neurobiol. 77, 1–37 (2005)
Friston, K.J.: Functional and effective connectivity in neuroimaging: a synthesis. Hum. Brain Mapp. 2, 56–78 (1994)
Allefeld, C., Muler, M., Kurths, J.: Eigenvalue decomposition as a generalized synchronization cluster analysis. Int. J. Bifurcat. Chaos 17, 3493–3497 (2007)
Müller, M., Baier, G., Galka, A., Stephani, U., Muhle, H.: Detection and characterization of changes of the correlation structure in multivariate time series. Phys. Rev. E 71, 046116 (2005)
Wang, Q., Shen, Y., Zhang, J.Q.: A nonlinear correlation measure for multivariable data set. Physica D 200, 287–295 (2005)
Reiterer, S., Pereda, E., Bhattacharya, J.: Measuring second language proficiency with EEG synchronization: how functional cortical networks and hemispheric involvement differ as a function of proficiency level in second language speakers. Second Language Research 25, 77–106 (2009)
Essl, M., Rappelsberger, P.: EEG coherence and reference signals: experimental results and mathematical explanations. Med. Biol. Eng. Comput. 36, 399–406 (1998)
Rummel, C., Baier, G., Muller, M.: Automated detection of time-dependent cross-correlation clusters in nonstationary time series. Europhys. Lett. 80, 68004 (2007)
Hlavackova-Schindler, K., Palus, M., Vejmelka, M., Bhattacharya, J.: Causality detection based on information-theoretic approaches in time series analysis. Phys. Rep. 441, 1–46 (2007)
Haier, R.J., Siegel Jr., B.V., MacLachlan, A., Soderling, E., Lottenberg, S., Buchsbaum, M.S.: Regional glucose metabolic changes after learning a complex visuospatial/motor task: a positron emission tomographic study. Brain Res. 570, 134–143 (1992)
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Pereda, E., Reiterer, S., Bhattacharya, J. (2011). Topography of Functional Connectivity in Human Multichannel Electroencephalogram during Second Language Processing. In: Lozano, J.A., Gámez, J.A., Moreno, J.A. (eds) Advances in Artificial Intelligence. CAEPIA 2011. Lecture Notes in Computer Science(), vol 7023. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25274-7_26
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DOI: https://doi.org/10.1007/978-3-642-25274-7_26
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