Russian version English version
Volume 11   Issue 2   Year 2016
Ivanovskiy R.I., Novozhilov M.A.

Inter-Channel Connectivity Analysis of Electroencephalograms Based On the Correlation Ratio

Mathematical Biology & Bioinformatics. 2016;11(2):214-224.

doi: 10.17537/2016.11.214.

References

 

  1. Vega-Zelaya L., Garnés-Camarena O., Sanz-García A., Ortega G. J., Pastor J. Mathematical Foundations of Quantified Electroencephalography. 2016.
  2. Cover K.S., Stam C.J., van Dijk B.W. Detection of very high correlation in the alpha band between temporal regions of the human brain using MEG. Neuroimage. 2004;22(4):1432-1437. doi: 10.1016/j.neuroimage.2004.04.016
  3. Bartolomei F., Bosma I., Klein M., Baayen J.C., Reijneveld J.C., Postma T.J., Heimans J.J., van Dijk B.W., de Munck J. C., de Jongh A. How do brain tumors alter functional connectivity? A magnetoencephalography study. Annals of neurology. 2006;59(1):128-138. doi: 10.1002/ana.20710
  4. Roosendaal S.D., Hulst H.E., Vrenken H., Feenstra H.E., Castelijns J.A., Pouwels P.J., Barkhof F., Geurts J.J. Structural and Functional Hippocampal Changes in Multiple Sclerosis Patients with Intact Memory Function 1. Radiology. 2010;255(2):595-604. doi: 10.1148/radiol.10091433
  5. Angelopoulos E., Koutsoukos E., Maillis A., Papadimitriou G.N., Stefanis C. Cortical interactions during the experience of auditory verbal hallucinations. The Journal of neuropsychiatry and clinical neurosciences. 2011;23(3):287-293. doi: 10.1176/jnp.23.3.jnp287
  6. Kalauzi A., Vuckovic A., Bojić T. EEG alpha phase shifts during transition from wakefulness to drowsiness. International journal of psychophysiology. 2012;86(3):195 205. doi: 10.1016/j.ijpsycho.2012.04.012
  7. Ramakrishnan A.G., Satyanarayana J.V. Reconstruction of EEG from limited channel acquisition using estimated signal correlation. Biomedical Signal Processing and Control. 2016;27:164-173. doi: 10.1016/j.bspc.2016.02.004
  8. Alonso J.F., Mananas M.A., Romero S., Hoyer D., Riba J., Barbanoj M.J. Drug effect on EEG connectivity assessed by linear and nonlinear couplings. Human brain mapping. 2010;31(3):487-497. doi: 10.1002/hbm.20881
  9. Cruz A.V., Mallet N., Magill P.J., Brown P., Averbeck B.B. Effects of dopamine depletion on information flow between the subthalamic nucleus and external globus pallidus. Journal of neurophysiology. 2011;106(4):2012-2023. doi: 10.1152/jn.00094.2011
  10. Ventouras E.C., Margariti A., Chondraki P., Kalatzis I., Economou N.T., Tsekou H., Paparrigopoulos T., Ktonas P. EEG-based investigation of brain connectivity changes in psychotic patients undergoing the primitive expression form of dance therapy: a methodological pilot study. Cognitive neurodynamics. 2015;9(2):231-248. doi: 10.1007/s11571-014-9319-8
  11. Bonita J.D., Ambolode II L.C.C., Rosenberg B.M., Cellucci C.J., Watanabe T.A.A., Rapp P.E., Albano A.M. Time domain measures of inter-channel EEG correlations: a comparison of linear, nonparametric and nonlinear measures. Cognitive neurodynamics. 2014;8(1):1-15. doi: 10.1007/s11571-013-9267-8
  12. Lynall M.E., Bassett D.S., Kerwin R., McKenna P.J., Kitzbichler M., Muller U., Bullmore E. Functional connectivity and brain networks in schizophrenia. The Journal of Neuroscience. 2010;30(28):9477-9487. doi: 10.1523/JNEUROSCI.0333-10.2010
  13. Sakharov V.L., Andreenko A.S. Metody matematicheskoi obrabotki elektroentsefalogramm (Mathematical Methods for electroencephalogram processing): textbook. Taganrog; 2000. 44 p. (in Russ.).
  14. Amosova N.N., Kuklin B.A., Makarova S.B., Maksimov Iu.D., Mitrofanova N.M., Polishchuk V.I., Shevliakov G.L. Veroiatnostnye razdely matematiki (Probabilistic sections of mathematics). Ed. Maksimov Iu.D. Saint Petersburg; 2001. 588 p. (in Russ.).
  15. Jeong J., Kim D.J., Chae J.H., Kim S.Y., Ko H.J., Paik I.H. Nonlinear analysis of the EEG of schizophrenics with optimal embedding dimension. Medical engineering & physics. 1998;20(9):669 676. doi: 10.1016/S1350-4533(98)00078-2
  16. Meyer-Lindenberg A., Bauer U., Krieger S., Lis S., Vehmeyer K., Schüler G., Gallhofer B. The topography of non-linear cortical dynamics at rest, in mental calculation and moving shape perception. Brain topography. 1998;10(4):291 299. doi: 10.1023/A:1022227108139
  17. da Silva F.L., Pijn J.P., Boeijinga P. Interdependence of EEG signals: linear vs. nonlinear associations and the significance of time delays and phase shifts. Brain topography. 1989;2(1-2):9-18. doi: 10.1007/BF01128839
  18. Wendling F., Bartolomei F., Bellanger J.J., Chauvel P. Interpretation of interdependencies in epileptic signals using a macroscopic physiological model of the EEG. Clinical neurophysiology. 2001;112(7):1201-1218. doi: 10.1016/S1388-2457(01)00547-8
  19. Ansari-Asl K., Senhadji L., Bellanger J.J., Wendling F. Quantitative evaluation of linear and nonlinear methods characterizing interdependencies between brain signals. Physical Review E. 2006;74(3):031916. doi: 10.1103/PhysRevE.74.031916
  20. Kalitzin S.N., Parra J., Velis D.N., da Silva, F.L. Quantification of unidirectional nonlinear associations between multidimensional signals. IEEE transactions on biomedical engineering. 2007;54(3):454-461. doi: 10.1109/TBME.2006.888828
  21. Wendling F., Ansari-Asl K., Bartolomei F., Senhadji L. From EEG signals to brain connectivity: a model-based evaluation of interdependence measures. Journal of neuroscience methods. 2009;183(1):9-18. doi: 10.1016/j.jneumeth.2009.04.021
  22. Ivanovskii R.I. Teoriia veroiatnostei i matematicheskaia statistika. Osnovy, prikladnye aspekty s primerami i zadachami v srede Mathcad (Theory of Probability and Mathematical Statistics. Basics, practical aspects with examples and problems in Mathcad). Saint Petersburg; 2008. 528 p. (in Russ.).
  23. MAS.Exponenta.ru. http://mas.exponenta.ru/ (accessed 20.10.2016).
Table of Contents Original Article
Math. Biol. Bioinf.
2016;11(2):214-224
doi: 10.17537/2016.11.214
published in Russian

Abstract (rus.)
Abstract (eng.)
Full text (rus., pdf)
References

 

  Copyright IMPB RAS © 2005-2022