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Cortical Lateralization Analysis by Kolmogorov Entropy of EEG

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Part of the book series:Lecture Notes in Computer Science ((LNTCS,volume 3746))

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Abstract

Based on nonlinear dynamic method, mean Kolmogorov entropy (KE) is introduced to analyze and localize the cortical lateralization. The results indicate that: 1) the lateralization determined by Kolmogorov entropy of EEG proposed in this paper is consistent with previous known studies. But this method is more sensitive to cortical lateralization. This method can identify the differences of cortical lateralization between different brain function areas. 2) The dominant hemisphere is not always the same one for some particular task. 3) The cortical lateralization may involve in several different cortical areas synchronously and for different brain areas the lateralizations of the same mental task may be not on the same side. 4) To analyze and localize cortical lateralization, mean Kolmogorov entropy based on spontaneous EEG is a good method.

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References

  1. Davidson, R., Hugdahl, K. (eds.): Brain asymmetry. MIT Press, Cambridge (1995)

    Google Scholar 

  2. Hellige, J.: Hemispheric asymmetry. Harvard University Press, Cambridge (1993)

    Google Scholar 

  3. Zaidel, E., Rayman, J.: Interhemispheric control in the normal brain: evidence from redundant bilateral presentation. In: Ultima, C., Moscovith, M. (eds.) Attention and performance XV: conscious and subconscious information processing, pp. 477–504. MIT Press, Boston (1994)

    Google Scholar 

  4. Hellige, J.B.: Hemispheric asymmetry: what’s right and what’s left. Harvard University Press, Cambridge (1993)

    Google Scholar 

  5. Braitenberg, V., Schuz, A.: Anatomy of the cortex. Atatistics and geometry. Springer, Heidelberg (1991)

    Google Scholar 

  6. Adock, J.E., Wise, R.G., Oxbury, J.M., Oxbury, S.M., Matthews, P.M.: Quantitative fMRI assessment of the differences in lateralization of language-related brain activation in patients with temporal lobe epilepsy. Neuroimage 18(2), 423–438 (2003)

    Article  Google Scholar 

  7. Brockway, P., John, P.: fMRI replace the WADA test for language lateralization/localization. Neuroimage 11(5) (Suppl.), S277 (2000)

    Google Scholar 

  8. Bolduc, C., Daoust, A.M., Limoges, E., Braun, C.M.J., Godbout, R.: Hemispheric lateralization of the EEG during wakefulness and REM sleep in young healthy adults. Brain and cognition 53(2), 193–196 (2003)

    Article  Google Scholar 

  9. Babloyantz, A.: Evidence of chaotic dynamics of brain activity during the sleep cycle. Phys Lett (A) 111, 152–156 (1985)

    Article  Google Scholar 

  10. Sarbadhikari, S.N., Charabarty, K.: Chaos in the brain: a short review alluding to epilepsy, depression, exercise and lateralization. Medical Engineering & Physics 23, 445–455 (2001)

    Article  Google Scholar 

  11. Grassberger, P., Procaccia, I.: Measuring the strangeness of strange attractors. Physica 9D, 189–209 (1983)

    Google Scholar 

  12. Kantz, H., Schreiber, T.: Nonlinear Time Series Analysis, pp. 70–75. Cambridge University Press, Cambridge (1997)

    MATH  Google Scholar 

  13. Keirn, Z.A., Aunon, J.I.: A new mode of communication between man and his surroundings. IEEE Trans. Biomed. Eng. 37, 1209–1214 (1990)

    Article  Google Scholar 

  14. Benson, D.F.: Aphasia and the lateralization of language. Cortex 12, 71–86 (1986)

    Google Scholar 

  15. Liegeois, F., Connely, A., Salmond, H., Gadian, D.G., Vargha-Khadem, F., Baldeweg, T.: A direct test for lateralization of language activation using fMRI: comparison with invasive assessments in children with epilepsy. NeuroImage 17, 1861–1867 (2002)

    Article  Google Scholar 

  16. Eckmann, J.P., Ruelle, D.: Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamical systems. Physica D 56, 185–187 (1992)

    Article MATH MathSciNet  Google Scholar 

Download references

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Authors and Affiliations

  1. Key Laboratory of Biomedical Information Engineering of EducationMinistry Xi’an, Jiaotong University, Xi’an, 710049, China

    Lianyi Zhang & Chongxun Zheng

Authors
  1. Lianyi Zhang

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  2. Chongxun Zheng

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Editor information

Editors and Affiliations

  1. Department of Computer and Communication Engineering, University of Thessaly, Glavani 37, 382 21, Volos, Greece

    Panayiotis Bozanis

  2. Department of Computer and Communication Engineering, University of Thessaly, 382 21, Volos, Greece

    Elias N. Houstis

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhang, L., Zheng, C. (2005). Cortical Lateralization Analysis by Kolmogorov Entropy of EEG. In: Bozanis, P., Houstis, E.N. (eds) Advances in Informatics. PCI 2005. Lecture Notes in Computer Science, vol 3746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573036_76

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