Abstract

Utility of graphical representation of EEG data and colour-maps are now well established. Research on localisation and activity in neuronal pathway are also progressing. The EEG data could be visualized simultaneously as colour-maps and as connected neuronal pathways simultaneously as a movie on a GUI for diagnosis and understanding of the brain activity. The colour-maps are generally constructed using ICA. In this paper, the same is constructed using a compressed sensing technique. A GUI with the connected graph and magnitudes are also generated from EEG.

References

• S. C. Ponten, F. Bartolomei , C. J. Stam, "Small-world networks and epilepsy: Graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures", Elsevier in Clinical Neurophysiology, Vol. 118, pp. 918–927,2007.
• S. C. Ponten, L. Douw, F. Bartolomei, J. C. Reijneveld, C. J. Stam, "Indications for network regularization during absence seizures: Weighted and unweighted graph theoretical analyses", Elsevier in experimental neurology, Vol. 217, pp. 197-204, 2009.
• F. Babiloni, F. Cincotti, C. Babiloni, F. Carducci, D. Mattia, L. Astolfi, A. Basilisco, P. M. Rossini, L. Ding, Y. Ni, J. Cheng, K. Christine, J. Sweeney, and B. Heg, "Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function", Elsevier in neuroimage, Vol. 24, pp. 118-131,2005.
• Christopher Wilke, "Estimation of Time-Varying Connectivity Patterns Through the Use of an Adaptive DirectedTransfer Function", IEEE transactions on biomedical engineering, Vol. 55, pp. 11, november 2008.
• Pieter van Mierloa, Hans Halleza, Sara Assecondia, Steven Staelensa, Evelien Carretteb, Ignace Lemahieua, Paul Boonb, "Feasibility Study of the Time-variant Functional Connectivity Pattern during an Epileptic Seizure", International Journal of Bioelectromagnetism, Vol. 11, No. 4, pp. 170-174, 2009.
• Martin H. Trauth, R. Gebbers, N. Marwan, 'Spatial Data' in Matlab Recipes for Earth Sciences, 3rd ed. Springer, 2010, ch. 7, sec. 7, pp. 193-240.
• Sandwell, T. David, 'Biharmonic Spline Interpolation of GEOS-3 and SEASAT Altimeter Data', Geophysical Research Letters, vol. 14, no. 2, pp. 139–142, 1987.
• C. J. James, C. W. Hesse,"Mapping Scalp Topographies of Rhythmic EEG Activity using Temporal Decorrelation based Constrained ICA", Proceedings of the 26th Annual International Conference of the IEEE EMBS, pp. 994-997,September 2004.
• E. Candes and T. Tao, "Near-optimal signal recovery from random projections: universal encoding strategies," IEEE Trans. on Information Theory, Vol. 52, pp. 5406–5425, 2004.
• D. Donoho, "Compressed sensing," IEEE Trans. on Information Theory, vol. 52, pp. 1289–1306, 2006.
• Ge wang, Guest Editor, "Guest Editorial Compressive Sensing for Biomedical Imaging",IEEE transactions on medical imaging, vol. 30, no. 5, pp. 1013-1016,may 2011.
• Jean-Philippe Lachaux, Eugenio Rodriguez, Jacques Martinerie, Francisco J. Varela, "Measuring Phase Synchrony in Brain Signals", Science direct in Human Brain Mapping, Vol. 8(4),pp. 194-208,1999.
• M. J. Kaminski and K. J. Blinowska, 'A new method of the description of the information flow in the brain structures', Biological Cybernetics, vol. 65, no. 3, pp. 203–210, 1991.
• K. J. Friston, 'Functional and effective connectivity in neuroimaging: a synthesis', pubmed in Hum. Brain Mapp, vol. 2, pp. 56–78, 1994.