A survey of methods used for source localization using EEG signals

Biomedical Signal Processing and Control

Volumn 11, Issue 1, 2014, Pages 42-52

  Jatoi, Munsif Ali ^a   Kamel, Nidal ^a   Malik, Aamir Saeed ^a   Faye, Ibrahima ^a   Begum, Tahamina ^b  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

^b HOSPITAL UNIVERSITI SAINS MALAYSIA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; SURVEYS;

COMPUTATIONAL POWER; COMPUTATIONAL TIME; EEG INVERSE PROBLEMS; EEG SOURCE LOCALIZATION; ELECTRICAL ACTIVITIES; HIGH RESOLUTION; LOCALIZATION ERRORS; SOURCE LOCALIZATION;

INVERSE PROBLEMS;

ALGORITHM; CENTRAL SULCUS; ELECTRIC POTENTIAL; ELECTROENCEPHALOGRAM; HUMAN; LOW RESOLUTION BRAIN ELECTROMAGNETIC TOMOGRAPHY; MAGNETOMETER; MEASUREMENT ERROR; PRIORITY JOURNAL; REVIEW; SIMULATION;

EID: 84897381277     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2014.01.009     Document Type: Review

References (40)

1. S. Baillet, J.C. Mosher, and R.M. Leahy Electromagnetic brain mapping IEEE Signal Process. Mag. 18 November (6) 2001 14 10.1109/79.962275 30
2. J.C. Rajapakse, A. Cichocki, and V.D. Sanchez Independent component analysis and beyond in brain imaging: EEG, MEG, fMRI, and PET Proceedings of the 9th International Conference on Neural Information Processing, 2002, ICONIP'02 18-22 November, vol. 1 2002 404 412
3. J.W. Phillips, R.M. Leahy, J.C. Mosher, and B. Timsari Imaging neural activity using MEG and EEG IEEE Eng. Med. Biol. Mag. 16 May/June (3) 1997 34 42 10.1109/51.585515
4. M. Modarreszadeh, and R.N. Schmidt Wireless, 32-channel, EEG and epilepsy monitoring system Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 30 October-2 November, vol. 3 1997 1157 1160
5. M. Tudor, L. Tudor, K.I. Tudor, Hans Berger (1873-1941) - The History of Electroencephalography, PubMed Publications, USA.
6. T. Yamada, The Objective and Perspective of Recording Electrical Activity Form the Central Nervous System, PubMed Publications, USA.
7. www.usc.edu/./BenFiles-An-introduction-to-EEG.pdf
8. S. Sanei EEG Signal Processing 2007 Wiley and Sons
9. K. Wendel et al. EEG/MEG source imaging: methods, challenges and open issues Computational Intelligence and Neuroscience 2009 Hindawi Publishing Corporation
10. L. Zhukov et al. Independent component analysis for EEG source localization IEEE Eng. Med. Biol. Mag. 19 2000 87 96
11. J.S. Ebersole, EEG Voltage Topography and Dipole Source Modeling of Epileptoform Potentials, Lippincott Williams and Wilkins, Philadelphia, pp. 732-752.
12. A. Chris Plummer, A. Simon Harvey, and M. Cook EEG source localization in focal epilepsy: where are we now? Epilepsia 2007 1 18
13. M. Fuchs, M.R. Ford, S. Sands, H.L. Lew, Overview of dipole source localization, Phys. Med. Rehabil. Clin. N. Am. 15 251-262.
14. Z.J. Koles Trends in EEG source localization 1998
15. M.A. Brazier A study of the electrical fields at the surface of the head Electroenceph. clin. Neurophysiol. Suppl. 2 1949 38 52
16. M.R. Shaw Potential distribution analysis II: a theoretical consideration of its significance in terms of electrical field theory Electroenceph. clin. Neurophysiol. 7 1955 285 292
17. R. Plonsey Bioelectric Phenomena 1969 McGraw-Hill New York 304 308
18. R. Schneider Michel A multistage process for computing virtual dipolar sources of EEG discharges from surface information IEEE Trans. Biomed. Eng. BME-19 January (1) 1972 1 12
19. Henderson et al. The localization of the equivalent dipoles of EEG sources by the application of electric field theory Electroenceph. clin. Neurophysiol. 39 1975 117 130
20. P.L. Nunez Electric Fields of the Brain: The Neurophysics of EEG 1981 Oxford University Press New York
21. Tarantola Inverse Problem Theory and Methods for Model Parameter Estimation 2005 Society for Industrial and Applied Mathematics
22. M.S. Zhdanov Geophysical Inverse Theory and Regularization Problems 2002 Elsevier
23. R. Snieder et al. Inverse Problems in Geophysics 1999
24. R.D. Pascual-Marqui, Theory of the EEG Inverse Problem. Book Chapter from Quantitative EEG Analysis Methods and Clinical Applications, Artech House.
25. M.S. Hamalainen et al. Interpreting Measured Magnetic Fields of the Brain: Estimates of Current Distributions, Report TKK-F-A559 1984
26. T. Soderstrom, and G.W. Stewart On the numerical properties of an iterative method for computing the Moore-Penrose generalized inverse Soc. Ind. Appl. Math. J. Numer. Anal. 11 1 2006
27. R.D. Pascual-Marqui Review of methods for solving the EEG inverse problem IJBEM 1 1999
28. R.D. Pascual et al. Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain Int. J. Psychophysiol. 18 1994 49 65
29. I.F. Gorodnitsky et al. Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm Electroencephalogr. Clin. Neurophysiol. 95 1995
30. J.C. Mosher, and R.M. Leahy Recursive MUSIC: a framework for EEG and MEG source localization IEEE Trans. Biomed. Eng. 45 1998 1342 1354
31. J.C. Mosher, and R.M. Leahy Source localization using recursively applied and projected (RAP) MUSIC IEEE Trans. Signal Process. 47 February (2) 1999 332 340
32. C.Y. Song et al. Hybrid weighted minimum norm method a new method based LORETA to solve EEG inverse problem 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005, IEEE-EMBS 2005 2005 1079 1082
33. R.D. Pascual et al. Standardized low resolution brain electromagnetic tomography (sLORETA) Techn. Details Methods Findings Exp. Clin. Pharmacol. 24D 2002 5 12
34. A.M. Dale et al. Dynamic statistical parametric mapping: combining fMRI and MEG for high resolution imaging of cortical activity Neuron 26 2000 66 67
35. R.D. Pascual-Marqui Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization 2007 http://arxiv.org/pdf/0710.3341
36. http://www.unizh.ch/keyinst/NewLORETA/sLORETA-Math01.pdf\
37. R. Khemakhem et al. A new combining approach to localizing the EEG activity in the brain: WMN and LORETA solution International Conference on BioMedical Engineering and Informatics, 2008, BMEI 2008 2008 821 824
38. K. Rafik et al. Recursive sLORETA-FOCUSS algorithm for EEG dipoles localization First Workshops on Image Processing Theory, Tools and Applications, 2008, IPTA 2008 2008 1 5
39. L. He Sheng et al. Shrinking LORETA-FOCUSS: a recursive approach to estimating high spatial resolution electrical activity in the brain First International IEEE EMBS Conference on Neural Engineering, 2003, Conference Proceedings 2003 545 548
40. L. Hesheng et al. Standardized shrinking LORETA-FOCUSS (SSLOFO): a new algorithm for spatio-temporal EEG source reconstruction IEEE Trans. Biomed. Eng. 52 2005 1681 1691