Connectivity pattern modeling of motor imagery EEG

Proceedings of the 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, CCMB 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Volumn , Issue , 2013, Pages 94-100

  Li, Xinyang ^a   Ong, Sim Heng ^a   Pan, Yaozhang ^b   Ang, Kai Keng ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; REGRESSION ANALYSIS;

AUTOREGRESSION MODELS; CLASSIFICATION ACCURACY; CONNECTIVITY PATTERN; DIRECTED TRANSFER FUNCTIONS; FEATURE EXTRACTION METHODS; FUNCTIONAL CONNECTIVITY NETWORKS; GRANGER CAUSALITY ANALYSIS; PARTIAL DIRECTED COHERENCE;

ARTIFICIAL INTELLIGENCE;

EID: 84886509465     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCMB.2013.6609171     Document Type: Conference Paper

References (21)

1. N. Sharma, V. M. Pomeroy, and J.-C. Baron, "Motor imagery: a backdoor to the motor system after stroke?" Stroke, vol. 56, no. 11, pp. 1941-1952, June 2006.
2. M. Jeannerod, "Mental imagery in the motor context," Neuropsychologia, vol. 33, pp. 1419-1432, 1995.
3. M. Stavrinou, L. Moraru, L. Cimponeriu, P. D. Stefania, and A. Bezerianos, "Evaluation of cortical connectivity during real and imagined rhythmic finger tapping," Brain Topography, vol. 19, no. 3, pp. 137-145, 2007.
4. G. Pfurtscheller, C. Brunner, A. Schlogl, and F. H. L. da Silva, "Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks," NeuroImage, vol. 31, no. 1, pp. 153-159, 2006.
5. C. L. Albert, G. R. Lorie, K. H. Jodie, F. W. George, and G. F. Daniel, "Robot-assisted therapy for long-term upper-limb impairment after stroke," New England Journal of Medicine, vol. 362, pp. 1772-1783, 2010.
6. H. I. Krebs, J. J. Palazzolo, L. Dipietro, M. Ferraro, J. Krol, K. Rannekleiv, B. Volpe, and N. Hogan, "Rehabilitation robotics: Performancebased progressive robot-assisted therapy," Autonomous Robots, vol. 15, pp. 7-20, 2003.
7. K. K. Ang, Z. Y. Chin, H. Zhang, and C. Guan, "Filter bank common spatial pattern (FBCSP) in brain-computer interface," IEEE International Joint Conference on Neural Networks and Computational Intelligence, pp. 2390-2397, 2008.
8. J. R. Wolpaw, N. Birbaumer, W. J. Heetderks, D. J. McFarland, P. H. Peckham, G. Schalk, E. Donchin, L. A. Quatrano, C. J. Robinson, and T. M. Vaughanr, "Brain-computer interface technology: A review of the first international meeting," IEEE Transactions on Rehabilitaion Engineering, vol. 8, no. 2, pp. 164-173, 2000.
9. B. Blankertz, R. Tomika, S. Lemm, M. Kawanabe, and K. R. Muller, "Optimizing spatial filters for robust EEG single trial-trial analysis," IEEE Signal Processing Magazine, vol. 25, no. 1, pp. 41-56, 2008.
10. L. Astolfi, F. Cincotti, D. Mattia, F. de Vico Fallani, S. Salinari, M. Ursino, M. Zavaglia, M. G. Marciani, and F. Babiloni, "Estimation of the cortical connectivity patterns during the intention of limb movements," IEEE Engineering in Medicine and Biology Magazine, 2006.
11. C. Babiloni, F. Infarinato, N. Marzano, M. Iacoboni, F. Dassu, A. Soricelli, P. M. Rossini, C. Limatola, and C. D. Percio, "Intra-hemispheric functional coupling of alpha rhythms is related to golfer's performance: A coherence EEG study," International Journal of Psychophysiology, vol. 82, no. 3, pp. 260-268, 2011.
12. C. W. J. Granger, "Investigating causal relations by econometric models and cross-spectral methods," Econometrica, vol. 37, no. 3, pp. 424-38, July 1969.
13. M. Ding, Y. Chen, and S. L. Bressler, "Granger causality: basic theory and application to neuroscience," Handbook of Time Series Analysis, ed. B. Schelter, M. Winterhalder, and J. Timmer, Wiley-VCH Verlage, pp. 437-460, 2006.
14. H. Chen, Q. Yang, W. Liao, Q. Gong, and S. Shen, "Evaluation of the effective connectivity of supplementary motor areas during motor imagery using granger causality mapping," NeuroImage, vol. 47, no. 4, pp. 1844-1853, 2009.
15. L. A. Baccala and K. Sameshima, "Partial directed coherence: a new concept in neural structure determination," Biological Cybernetics, vol. 84, pp. 463-474, 2001.
16. M. Kaminski and K. Blinowska, "A new method of the description of the information flow in the brain structures," Biological Cybernetics, vol. 65, pp. 203-210, 1991.
17. M. Kaminski, M. Ding, W. A. Truccolo, and S. Bressle, "Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance," Biological Cybernetics, vol. 85, pp. 145-157, 2001.
18. M. Grosse-Wentrup, "Understanding brain connectivity patterns during motor imagery for brain-computer interfacing," Conference on Advances in Neural Information Processing Systems, pp. 561-568, June 2009.
19. S. Haufe, R. Tomioka, G. Nolte, K.-R. Muller, and M. Kawanabe, "Modeling sparse connectivity between underlying brain sources for EEG/MEG," IEEE Transactions on Biomedical Engineering, vol. 57, no. 8, pp. 1954-1963, aug. 2010.
20. G. G.-Herrero, M. Atienza, K. Egiazarian, and J. L. Cantero, "Measuring directional coupling between EEG sources," NeuroImage, vol. 43, no. 3, pp. 497-508, 2008.
21. M. Arvaneh, C. Guan, K. K. Ang, and C. Quek, "Optimizing the channel selection and classification accuracy in EEG-based BCI," IEEE Transactions on Biomedical Engineering, vol. 58, no. 6, pp. 1865-1873, June 2011.