A Study on Material Functional Connectivity of the Human Brain via Granger Causality

Abstract:

16-channel EEG data during intermittent episodes of epilepsy is recoded and analyzed to find the lesions source for temporal lobe epilepsy by Granger causality. And the analysis of EEG with the lesions of temporal lobe epilepsy and non-lesions area of relationship between cause and effects is focused on, exploring temporal lobe epilepsy with lesions in other regions of the information transduction relationship for the clinical determination of temporal lobe epileptic focus to provide a theoretical the support. There are 8 cases patients which 6 cases patients of left-temporal lobe epilepsy and 2 cases patients of right-temporal lobe epilepsy in this work, Sampling frequency fs=200Hz，time t=20s (Sampling points N=4000). Granger causality is used to direction of the information transduction between each channel of the EEG signals. Autoregressive methods of EEG analysis for multi-channel data and determination of the coefficient of the matrix A, and proportion of operations on the matrix A is applied to get the result of matrix I which can reflect the causal relationship between each channel. The result shows that Granger causality can test the location of the lesions source and the areas that the information was reached. The results are consistent with the diagnosis of the EEG and CT. Granger causality not only can analyze the causal relationship of EEG, and it can calculate the multi-channel information transduction between the directions of EEG, which can provide support in the clinic for determine the source of seizure.

• Periodical: Advanced Materials Research (Volume 548)
• Pages: 833-838
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.548.833
• Online since: July 2012
• Authors: Hong Yan Zhang, Zhi Jun Qiua, Xin Tian
• Keywords: EEG, Granger Causality, Temporal Lobe Epilepsy, Transduction

References

[1] Swiderski S, Osowski S, Cichocki A, Rysz. Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus, Neurocomputing ; 2009,pp.1575-1583.

DOI: 10.1016/j.neucom.2008.09.004

[2] Marinazzo D, Liao W, Chen HS, Stramaglia. Nonlinear connectivity by Granger causality, Neurolmage, 2010, pp.9-18.

[3] Londei A, D'Ausilio A, Basso D, et al. Brain network for passive word listening as evaluated with ICA and Granger causality, Brain Research Bulletin, 2007, p.284–292.

DOI: 10.1016/j.brainresbull.2007.01.008

[4] GowJr DW, Segawa JA, Ahlfors SP, Lin. FH. Lexical influences on speech perception: A Granger causality analysis of MEG and EEG source estimates, Neurolmage, 2008, pp.614-623.

DOI: 10.1016/j.neuroimage.2008.07.027

[5] Kamiński M, Ding MZ, Truccolo WA, Bressler SL. Evaluating causal relations in neural systems:Granger causaluty,directed transfer function and statistical assessment of significance, Biological Cybernetics, 2001, p, 145-157.

DOI: 10.1007/s004220000235

[6] Ursino M, Zavaglia M, Modeling analysis of the relationship between EEG rhythms and connectivity among different neural populations, Journal of Integrative Neuroscience, 2007, pp.597-623.

DOI: 10.1142/s0219635207001647