Improving quantification of functional networks with EEG inverse problem: Evidence from a decoding point of view

NeuroImage

Volumn 55, Issue 4, 2011, Pages 1536-1547

  Besserve, Michel ^a   Martinerie, Jacques ^a   Garnero, Line ^a  

^a PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

Author keywords

Brain Computer Interface (BCI); Electroencephalography (EEG); Inverse problem; Real time

Indexed keywords

ADULT; ARTICLE; BRAIN COMPUTER INTERFACE; BRAIN FUNCTION; ELECTROENCEPHALOGRAPHY; FUNCTIONAL ASSESSMENT; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; INFORMATION PROCESSING; NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SUPPORT VECTOR MACHINE;

ADULT; ALGORITHMS; BRAIN; COGNITION; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; FEMALE; HUMANS; MALE; MODELS, NEUROLOGICAL; MOVEMENT; NERVE NET; PATTERN RECOGNITION, AUTOMATED;

EID: 79952707818     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.01.056     Document Type: Article

References (56)

1. Baillet S., Mosher J., Leahy R. Electromagnetic Brain Mapping IEEE Signal Process. Mag. 2001, 18:14-30.
2. Besserve M., Martinerie J., Garnero L. Non-invasive classification of cortical activities for brain computer interface: a variable selection approach. Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium 2008, 1063-1066.
3. Besserve M., Phillipe M., Florence G., Garnero L., Martinerie J. Prediction of performance level during a cognitive task from ongoing EEG oscillatory activities. Clin. Neurophysiol. 2008, 119:897-908.
4. Blankertz B., Muller K.R., Curio G., Vaughan T.M., Schalk G., Wolpaw J.R., Schlögl A., Neuper C., Pfurtscheller G., Hinterberger T., Schroder M., Birbaumer N. The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials. IEEE Trans. Biomed. Eng. 2004, 51:1044-1051.
5. Brillinger D.R. Time Series: Data Analysis and Theory 1974, Holt, Rinehart, and Winston, New York.
6. Buzsáki G. Rhythms of the Brain 2006, Oxford University Press.
7. Chang C.-C., Lin C.-J. LIBSVM: a library for support vector machines 2001, Software available at. http://www.csie.ntu.edu.tw/cjlin/libsvm.
8. Congedo M., Lotte F., Lécuyer A. Classification of movement intention by spatially filtered electromagnetic inverse solutions. Phys. Med. Biol. 2006, 51:1971-1989.
9. Dale A., Sereno M. Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction - a linear approach. J. Cogn. Neurosci. 1993, 5:162-176.
10. de Munck J. The potential distribution in a layered spheroidal volume conductor. J. Appl. Phys. 1988, 64:464-470.
11. Ermer J.J., Mosher J., Baillet S., Leahy R. Rapidly recomputable EEG forward models for realistic head shapes. Phys. Med. Biol. 2001, 46:1265-1281.
12. Farwell L., Donchin E. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr. Clin. Neurophysiol. 1988, 70:510-523.
13. Gerven M.V., Farquhar J., Schaefer R., Vlek R., Geuze J., Nijholt A., Ramsey N., Haselager P., Vuurpijl L., Gielen S., Desain P. The brain-computer interface cycle. J. Neural Eng. 2009, 6.
14. Golub, G.H., Van Loan, C.F., 1993 Matrix Computations (2nd edition), John Hopkins Univer sity Press, Baltimore and London.
15. Grave de Peralta Menendez R., Gonzalez Andino S., Lucas Perez L., Ferrez P., Millan R., del J. Non-invasive estimation of local field potentials for neuroprosthesis control. Cogn. Process. 2005, 6:59-64.
16. Greenblatt R. Probabilistic reconstruction of multiple sources in the bioelectromagnetic inverse problem. Inverse Prob. 1993, 9:271-284.
17. Grosse-Wentrup M. Understanding brain connectivity patterns during motor imagery for brain-computer interfacing. Advances in Neural Information Processing Systems 2009, vol. 21:561-568. D. Koller, D. Schuurmans, Y. Bengio, L. Bottou (Eds.).
18. Grosse-Wentrup M., Liefhold C., Gramann K., Buss M. Beamforming in noninvasive brain-computer interfaces. IEEE Trans. Biomed. Eng. 2009, 56:1209-1219.
19. Haueisen J., Ramon C., Czapski P., Eiselt M. On the influence of volume currents and extended sources on neuromagnetic fields: a simulation study. Ann. Biomed. Eng. 1995, 23:728-739.
20. Jeffs B., Leahy R., Singh M. An evaluation of methods for neuromagnetic image reconstruction. IEEE Trans. Biomed. Eng. 1987, 34:713-723.
21. Keirn Z.A., Aunon J.I. A new mode of communication between man and his surroundings. IEEE Trans. Biomed. Eng. 1990, 37:1209-1214.
22. Krepki R. Berlin brain-computer interface. The HCI communication channel discovery. Int. J. Hum. Comput. Stud. 2006, 65:460-477.
23. Lachaux J., Rodriguez E., Martinerie J., Varela F. Measuring phase synchrony in brain signals. Hum. Brain Mapp. 1999, 8:194-208.
24. Lotte F., Lécuyer A., Arnaldi B. FuRIA: an inverse solution based feature extraction algorithm using fuzzy set theory for brain-computer interfaces. IEEE Trans. Signal Process. 2009, 57:3253-3263.
25. McFarland D., McCane L., Davi S., Wolpaw J. Spatial filter selection for EEG-based communication. Electroencephalogr. Clin. Neurophysiol. 1997, 103:386-394.
26. Meijs J., Weier O., Peters M., van Oosterom A. On the numerical accuracy of the boundary element method. IEEE Trans. Biomed. Eng. 1989, 36:1038-1049.
27. Millán J., Mouriño J., Franzé M., Cincotti F., Varsta M., Heikkonen J., Babiloni F. A local neural classifier for the recognition of EEG patterns associated to mental tasks. IEEE Trans. Neural Netw. 2002, 13:678-686.
28. Millán J., Renkens F., Mouriño J., Gerstner W. Noninvasive brain-actuated control of a mobile robot by human EEG. IEEE Trans. Biomed. Eng. 2004, 51:1026-1033.
29. Mosher J., Lewis P., Leahy R. Multiple dipole modelling and localization from spatiotemporal MEG data. IEEE Trans. Biomed. Eng. 1992, 39:541-557.
30. Mosher J., Leahy R., Lewis P. EEG and MEG: forward solutions for inverse methods. IEEE Trans. Biomed. Eng. 1999, 46:245-259.
31. Neuper C., Muller G.R., Kubler A., Birbaumer N., Pfurtscheller G. Clinical application of an EEG-based brain-computer interface: a case study in a patient with severe motor impairment. Clin. Neurophysiol. 2003, 114:399-409.
32. Noirhomme Q., Kitney R.I., Macq B. Single-trial EEG source reconstruction for brain-computer interface. IEEE Trans. Biomed. Eng. 2008, 55:1592-1601.
33. Nolte G., Bai O., Wheaton L., Mari Z., Vorbach S., Hallett M. Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin. Neurophysiol. 2004, 115:2292-2307.
34. Nunez P.L., Srinivasan R., Westdorp A.F., Wijesinghe R.S., Tucker D.M., Silberstein R.B., Cadusch P.J. EEG coherency - I: Statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. Electroencephalogr. Clin. Neurophysiol. 1997, 103:499-515.
35. Pascual-Marqui R., Michel C., Lehman D. Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int. J. Psychophysiol. 1994, 18:49-65.
36. Pfurtscheller G., Aranibar A. Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movement. Electroencephalogr. Clin. Neurophysiol. 1979, 46:138-146.
37. Pfurtscheller G., Neuper C., Flotzinger D., Prezenger M. EEG-based discrimination between imagination of right and left hand movement. Electroencephalogr. Clin. Neurophysiol. 1997, 103:642-651.
38. Qin L., Ding L., He B. Motor imagery classification by means of source analysis for brain-computer interface applications. J. Neural Eng. 2004, 1:135-141.
39. Rodriguez E., George N., Lachaux J., Martinerie J., Renault B. Perception shadow: long distance gamma band synchronisation and desynchronisation on the human scalp. Nature 1999, 397:430-433.
40. Sajda P., Philiastides M., Parra L. Single-trial analysis of neuroimaging data: inferring neural networks underlying perceptual decision-making in the human brain. Biomed. Eng. IEEE Rev. 2009, 2:97-109.
41. Salvador R., Martinez A., Pomarol-Clotet E., Sarro S., Suckling J., Bullmore E. Frequency based mutual information measures between clusters of brain regions in functional magnetic resonance imaging. Neuroimage 2007, 35:83-88.
42. Scherg M., Cramon D. Two bilateral sources of the late AEP as identified by a spatio-temporal dipole model. Electroencephalogr. Clin. Neurophysiol. 1985, 62:32-44.
43. Schneidman E., Bialek W., Berry M.J. Synergy, redundancy, and independence in population codes. J. Neurosci. 2003, 23:11539-11553.
44. Schölkopf B., Smola A.J. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond 2001, MIT Press, Cambridge, MA, USA.
45. Shannon C.E. A mathematical theory of communication. Bell Syst. Tech. J. 1948, 27:379-423.
46. Tallon-Baudry C., Bertrand O., Wienbruch C., Ross B., Pantev C. Combined EEG and MEG recordings of visual 40 Hz responses to illusory triangles in human. NeuroReport 1997, 8:1103-1107.
47. Thevenet M., Bertrand O., Perrin F., Dumont T., Pernier J. The finite element method for a realistic head model of electrical brain activities: preliminary results. Clin. Phys. Physiol. Meas. 1991, 12:89-94.
48. Uutela K., Hamalainen M., Salmelin R. Global optimization in the localization of neuromagnetic sources. IEEE Trans. Biomed. Eng. 1998, 45:716-723.
49. Vapnik V. Statistical Learning Theory 1998, Wiley-Interscience, New York.
50. Varela F., Lachaux J., Rodriguez E., Martinerie J. The Brainweb: phase synchronisation and large-scale integration. Nat. Rev. Neurosci. 2001, 2:229-239.
51. Wallstrom G.L., Kass R.E., Miller A., Cohn J.F., Fox N.A. Automatic correction of ocular artifacts in the EEG: a comparison of regression-based and component-based methods. Int. J. Psychophysiol. 2004, 53:105-119.
52. Wang J., Williamson S., Kaufman L. Magnetic source imaging based on the minimum-norm least-squares inverse. Brain Topogr. 1993, 5:365-371.
53. Weston J., Elisseeff A., Schölkopf B., Tipping M. Use of the zero norm with linear models and kernel methods. J. Mach. Learn. Res. 2003, 3:1439-1461.
54. Wolpaw J., Birbaumer N., McFarland D., Pfurtscheller G., Vaughan T. Brain-computer interfaces for communication and control. Clin. Neurophysiol. 2002, 113:767-791.
55. Yvert B., Bertrand O., Echallier J., Pernier J. Improved forward EEG calculations using local mesh refinement of realistic head geometries. Electroencephalogr. Clin. Neurophysiol. 1995, 95:381-392.
56. Zhang Z. A fast method to compute surface potentials generated by dipoles within multilayer anisotropic spheres. Phys. Med. Biol. 1995, 40:335-349.