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Brain Mapping using Compressed Sensing with Graphical Connectivity Maps

by S. Archana, K. A. Narayanankutty, Anand Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 54 - Number 11
Year of Publication: 2012
Authors: S. Archana, K. A. Narayanankutty, Anand Kumar
10.5120/8614-2474

S. Archana, K. A. Narayanankutty, Anand Kumar . Brain Mapping using Compressed Sensing with Graphical Connectivity Maps. International Journal of Computer Applications. 54, 11 ( September 2012), 35-39. DOI=10.5120/8614-2474

@article{ 10.5120/8614-2474,
author = { S. Archana, K. A. Narayanankutty, Anand Kumar },
title = { Brain Mapping using Compressed Sensing with Graphical Connectivity Maps },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 54 },
number = { 11 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume54/number11/8614-2474/ },
doi = { 10.5120/8614-2474 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:55:27.209826+05:30
%A S. Archana
%A K. A. Narayanankutty
%A Anand Kumar
%T Brain Mapping using Compressed Sensing with Graphical Connectivity Maps
%J International Journal of Computer Applications
%@ 0975-8887
%V 54
%N 11
%P 35-39
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
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
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. Sandwell, T. David, 'Biharmonic Spline Interpolation of GEOS-3 and SEASAT Altimeter Data', Geophysical Research Letters, vol. 14, no. 2, pp. 139–142, 1987.
  8. 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.
  9. 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.
  10. D. Donoho, "Compressed sensing," IEEE Trans. on Information Theory, vol. 52, pp. 1289–1306, 2006.
  11. 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.
  12. 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.
  13. 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.
  14. K. J. Friston, 'Functional and effective connectivity in neuroimaging: a synthesis', pubmed in Hum. Brain Mapp, vol. 2, pp. 56–78, 1994.
Index Terms

Computer Science
Information Sciences

Keywords

EEG compressed sensing colour map connectivity GUI