EEG based brain source localization comparison of sLORETA and eLORETA

Australasian Physical and Engineering Sciences in Medicine

Volumn 37, Issue 4, 2014, Pages 713-721

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

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Electroencephalography; eLORETA; Inverse problem; Localization error; sLORETA

Indexed keywords

CHEMICAL ACTIVATION; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; PSYCHOPHYSIOLOGY;

BRAIN SOURCE LOCALIZATION; EEG INVERSE PROBLEMS; ELECTROMAGNETIC SIGNALS; ELORETA; LOCALIZATION ERRORS; LOW RESOLUTION BRAIN ELECTROMAGNETIC TOMOGRAPHIES; SLORETA; SOURCE ESTIMATION;

INVERSE PROBLEMS;

ARTICLE; BRAIN CORTEX; BRAIN MAPPING; BRAIN SOURCE LOCALIZATION; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; EXACT LOW RESOLUTION BRAIN ELECTROMAGNETIC TOMOGRAPHY; FEMALE; HUMAN; HUMAN EXPERIMENT; INTERMETHOD COMPARISON; LOW RESOLUTION BRAIN ELECTROMAGNETIC TOMOGRAPHY; MALE; NORMAL HUMAN; PRIORITY JOURNAL; STANDARDIZED LOW RESOLUTION BRAIN ELECTROMAGNETIC TOMOGRAPHY; VISUAL STIMULATION; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER PROGRAM; COMPUTER SIMULATION; EVALUATION STUDY; NERVE CELL NETWORK; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STANDARDS; VISUAL CORTEX;

ALGORITHMS; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; MODELS, NEUROLOGICAL; NERVE NET; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE; VISUAL CORTEX;

EID: 84921047689     PISSN: 01589938     EISSN: 18795447     Source Type: Journal    
DOI: 10.1007/s13246-014-0308-3     Document Type: Article

References (23)

1. Tudor M, Tudor L, Tudor KI (2005) Hans Berger (1873–1941-the history of electroencephalography). Acta Med Croatica: časopis Hravatske akademije medicinskih znanosti 59(4):307–313 (PubMed Publications, USA)
2. Sanei S (2007) EEG signal processing. Wiley, UK. ISBN 978-0-470-02581-9
3. Wendel K, Väisänen O, Malmivuo J, Gencer NG, Vanrumste B, Durka P, Magjarević R, Supek S, Pascu ML, Fontenelle H, Grave de Peralta Menendez R (2009) EEG/MEG source imaging: methods, challenges, and open issues. Comput Intell Neurosci 1:1–12
4. Jatoi MA, Kamel N, Malik AS, Faye I, Begum T (2014) A survey of methods used for source localization using EEG signals. Biomed Signal Process Control 11:42–52. doi:10.1016/j.bspc.2014.01.009 (Elsevier)
5. Javed E, Faye I, Malik AS (2013) Reduction of ballistocardiogram artifact using EMD-AF. In: Lee M, Hirose A, Hou Z-G, Kil RM (eds) Neural information processing. Springer, Berlin Heidelberg, pp 533–540
6. Javed E, Faye I, Malik A. S., and Abdullah J. M. Reference-free reduction of ballistocardiogram artifact from EEG data using EMD-PCA, in 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS), 2014, pp. 1–6
7. Soomro, M.H.; Badruddin, N.; Yusoff, M.Z.; Jatoi, M.A, Automatic eye-blink artifact removal method based on EMD-CCA, Complex Medical Engineering (CME), 2013 ICME International Conference on, pp 186–190, 25–28 May 2013 doi: 10.1109/ICCME.2013.6548236
8. Zhukov, L.; Weinstein, D.; Johnson, C., “Independent component analysis for EEG source localization, Engineering in Medicine and Biology Magazine, IEEE, vol. 19 (3), pp 87–96, May–June 2000 doi: 10.1109/51.844386
9. Jatoi, M.A; Kamel, N.; Malik, AS.; Faye, I; Begum, T. Representing EEG source localization using Finite Element Method, Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on, pp 168–172, Nov. 29–Dec. 1 2013 doi: 10.1109/ICCSCE.2013.6719953
10. Tarantola (2005) Inverse Problem Theory and Methods for Model Parameter Estimation. Society for Industrial and Applied Mathematics, US. ISBN 0-89871-572-5
11. Pascual-Marqui RD (2005) Theory of the EEG Inverse Problem. In: Tong S, Thakor NV (eds) Quantitative EEG Analysis: Methods and Clinical Applications, vol 5. Artech House, Boston, US, pp 121–140
12. Hämäläinen MS, Ilmoniemi RJ (1984) Interpreting measured magnetic fields of the brain: estimates of current distributions. Tech. Rep. TKK-F-A559, Helsinki University of Technology, Espoo, 1984
13. Mosher JC, Leahy RM (1998) Recursive MUSIC: a framework for EEG and MEG source localization. IEEE Trans Biomed Eng 45:1342–1354
14. Mosher JC, Leahy RM (1999) Source localization using recursively applied and projected (RAP) MUSIC. IEEE Trans Signal Process 47(2):332–340
15. Gorodnitsky IF, George JS, Rao BD (1995) Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm. Electroencephalogr Clin Neurophysiol 95:231–251
16. Song CY, Wu Q, Zhuang TG, Hybrid weighted minimum norm method a new method based LORETA to solve EEG inverse problem, Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the, pp 1079–1082, 17–18 Jan. 2006 doi: 10.1109/IEMBS.2005.1616606
17. Khemakhem R, Ben Hamida A, Ahmed-taleb A, Derambure P, New hybrid method for the 3D reconstruction of neuronal activity in the brain, in 15th International Conference on Systems, Signals and Image Processing, 2008, IWSSIP 2008, pp 405–408, June 25–28, 2008
18. He Sheng Liu, Fusheng Yang, Xiaorong Gao, Shangkai Gao, Shrinking LORETA-FOCUSS: a recursive approach to estimating high spatial resolution electrical activity in the brain, Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on, pp 545–548, 20–22 March 2003 doi: 10.1109/CNE.2003.1196884
19. Ebersole JS, EEG voltage topography and dipole source modeling of epileptiform potentials. Lippincott Williams and Wilkins, Philadelphia, pp 732–752
20. Pascual RD et al (2002) Standardized low resolution brain electromagnetic tomography (sLORETA) technical details. Methods Find Exp Clin Pharmacol 24D:5–12
21. Dale AM, Liu AK, Fischl BR, Buckner RL, Belliveau JW, Lewine JD, Halgren E (2000) Dynamic statistical parametric mapping: combining fMRI and MEG for high resolution imaging of cortical activity. Neuron 26:66–67
22. Pascual-Marqui RD (2007) Discrete, 3D distributed linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization, arXiv: 0710.3341[math-ph], 2007-October-17
23. http://www.unizh.ch/keyinst. Accessed June 2014