The Dowser in the Fields: Searching for MEG Sources

MEG: An Introduction to Methods

Volumn , Issue , 2010, Pages 1-42

  Baillet, Sylvain ^a,b  

^a INSTITUT DU CERVEAU ET DE LA MOELLE ÉPINIÈRE   (France)

^b MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

Activation maps; General linear modeling; Neuroimaging; Statistical analysis; Statistical map; Statistical tools

Indexed keywords

EID: 84919534681     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1093/acprof:oso/9780195307238.003.0005     Document Type: Chapter

References (89)

1. Arthur, R. M., & Geselowitz, D. B. (1970). Effect of inhomogeneities on the apparent location and magnitude of a cardiac current dipole source. IEEE Trans Biomed Eng, 17(2), 141-146.
2. Ashburner, J., & Friston, K. (1997). Multimodal image coregistration and partitioning-a unified framework. Neuroimage, 6(3), 209-217.
3. Badia, A. E. (2004). Summary of some results on an EEG inverse problem. Neurol Clin Neurophysiol, 2004, 102.
4. Baillet, S., Mosher, J.C., & Leahy, R.M. (2001a). Electromagnetic brain mapping. IEEE Signal Processing Magazine, 18(6), 14-30.
5. Baillet, S., Riera, J. J., Marin, G., Mangin, J. F., Aubert, J., & Garnero, L. (2001b). Evaluation of inverse methods and head models for EEG source localization using a human skull phantom. Phys Med Biol, 46(1), 77-96.
6. Baryshnikov, B. V., Van Veen, B. D., & Wakai, R. T. (2004). Maximum likelihood dipole fitting in spatially colored noise. Neurol Clin Neurophysiol, 2004, 53.
7. Biomag. (1987). The biomagnetic inverse problem. The biomagnetic inverse problem conference proceedings. Milton Keynes, U.K., April 1986. In: Phys Med Biol, 32(1), 1-146.
8. Cheyne, D., Bakhtazad, L., & Gaetz, W. (2006). Spatiotemporal mapping of cortical activity accompanying voluntary movements using an event-related beamforming approach. Human Brain Mapping, 27(3), 213-229.
9. Cohen, D., & Hosaka, H. (1976). Part ii: magnetic field produced by a current dipole. J Electrocardiol, 9(4), 409-417.
10. Cuffn, B. N., & Geselowitz, D. B. (1977). Computer model studies of the magnetocardiogram. Ann Biomed Eng, 5(2), 164-178.
11. Dale, A. M., & Sereno, M. I. (1993). Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach. Journal of Cognitive Neuroscience, 5, 162-176.
12. Darvas, F., Pantazis, D., Kucukaltun-Yildirim, E., & Leahy, R. M. (2004). Mapping human brain function with meg and eeg: methods and validation. Neuroimage, 23, S289-S299.
13. Darvas, F., Rautiainen, M., Pantazis, D., Baillet, S., Benali, H., Mosher, J. C., et al. (2005). Investigations of dipole localization accuracy in MEG using the bootstrap. Neuroimage, 25(2), 355-368.
14. Darvas, F., Ermer, J. J., Mosher, J. C., & Leahy, R. M. (2006). Generic head models for atlas-based eeg source analysis. Hum Brain Mapp, 27(2), 129-143.
15. Daunizeau, J., Mattout, J., Clonda, D., Goulard, D., Benali, H., & Lina, J-M. (2006). Bayesian spatio-temporal approach for eeg source reconstruction: conciliating ecd and distributed models. IEEE Trans Biomed Eng, 53(3), 503-516.
16. David, O., Kiebel, S. J., Harrison, L. M., Mattout, J., Kilner, J. M., & Friston, K. J. (2006) Dynamic causal modeling of evoked responses in eeg and meg. Neuroimage, 30(4), 1255-1272.
17. Davison, A. C., & Hinkley, D. V. (1997). Bootstrap methods and their application. Cambridge series on statistical and probabilistic mathematics. Cambridge: Cambridge University Press.
18. Demoment, G. (1989). Image reconstruction and restoration: overview of common estimation structures and problems. IEEE Transactions on Signal Processing, 37(12), 2024-2036.
19. Dogdas, V., Shattuck, D. W., & Leahy, R. M. (2005). Segmentation of skull and scalp in 3-d human mri using mathematical morphology. Hum Brain Mapp, 26(4), 273-285.
20. Ermer, J. J., Mosher, J. C., Baillet, S., & Leahy, R. M. (2001). Rapidly recomputable EEG forward models for realistic head shapes. Phys Med Biol, 46(4), 1265-1281.
21. Feynman, R. P. The Feynman Lectures on Physics. (Volume 2). Reading, Massachusetts:Addison-Wesley.
22. Fischl, B., Sereno, M. I., & Dale, A. M. (1999). Cortical surface-based analysis. ii: Inflation, flattening, and a surface-based coordinate system. Neuroimage, 9(2), 195-207.
23. Fuchs, M., Wagner, M., Köhler, T., & Wischmann, H. A. (1999). Linear and nonlinear current density reconstructions. J Clin Neurophysiol, 16(3), 267-295.
24. Geddes, L. A., & Baker, L. E. (1967). The specific resistance of biological material-a compendium of data for the biomedical engineer and physiologist. Med Biol Eng, 5(3), 271-293.
25. Geselowitz, D. B. (1963). The concept of an equivalent cardiac generator. Biomed Sci Instrum, 1, 325-330.
26. Geselowitz, D. B. (1964). Dipole theory in electrocardiography. Am J Cardiol, 14, 301-306.
27. Geselowitz, D. B. (1973). Electric and magnetic field of the heart. Annu Rev Biophys Bioeng, 2, 37-64.
28. Golub, C. F., & van Loan, G. H. (1996). Matrix Computations. (3rd ed.). Baltimore: Johns Hopkins University Press.
29. Goncalves, S. I., de Munck, J. C., Verbunt, J. P. A., Bijma, F., Heethaar, R. M., & Lopes da Silva, F. (2003). In vivo measurement of the brain and skull resistivities using an EIT based method and realistic models for the head. IEEE Transactions On Biomedical Engineering, 50(6), 754-767.
30. Guilford, J. P., & Fruchter, B. (1978). Fundamental Statistics in Psychology and Education. (6th ed.). New York: McGraw-Hill.
31. Hadamard, J. (1902). Sur les problemes aux derivees partielles et leur signification physique. Princeton University Bulletin, pp. 49-52.
32. Hämäläinen, M., Hari, R., Ilmoniemi, R., Knuutila, J., and Lounasmaa, O. (1993). Magnetoencephalography: Theory, instrumentation and applications to the noninvasive study of human brain function. Rev Mod Phys, 65, 413-497.
33. Hillebrand, A., & Barnes, G. R. (2002). A quantitative assessment of the sensitivity of whole-head MEG to activity in the adult human cortex. NeuroImage, 16, 638-50.
34. Hillebrand, A. Singh, K. D., Holliday, I. E., Furlong, P. L., & Barnes, G. R. (2005). A new approach to neuroimaging with magnetoencephalography. Hum Brain Mapp, 25(2), 199-211.
35. Hosaka, H., & Cohen, D. (1976). Part iv: visual determination of generators of the magnetocardiogram. J Electrocardiol, 9(4), 426-432.
36. Huang, M. X., Mosher, J. C., & Leahy, R. M. (1999). A sensor-weighted overlappingsphere head model and exhaustive head model comparison for meg. Phys Med Biol, 44(2), 423-440.
37. Huizenga, H. H., de Munck, J. C., Waldorp, L. J., & Grasman, R. P. (2002). Spatiotemporal eeg/meg source analysis based on a parametric noise covariance model. IEEE Trans Biomed Eng, 49(6), 533-539.
38. Jerbi, K., Mosher, J. C., Baillet, S., & Leahy, R. M. (2002). On MEG forward modelling using multipolar expansions. Phys Med Biol, 47(4), 523-555.
39. Jerbi, K., Baillet, S., Mosher, J. C., Nolte, G., Garnero, L., & Leahy, R. M. (2004). Localization of realistic cortical activity in MEG using current multipoles. Neuroimage, 22(2), 779-793.
40. Jerbi, K., Lachaux, J.P., NDiaye, K., Pantazis, D., Leahy, R.M., Garnero, L., et al. (2007). Coherent neural representation of hand speed in humans revealed by MEG imaging. Proc Natl Acad Sci USA, 104(18), 7676-7681.
41. Jun, S. C., Plis, S. M., Ranken, D. M., & Schmidt, D. M. (2006). Spa tiotemporal noise covariance estimation from limited empirical magnetoencephalographic data. Phys Med Biol, 51(21), 5549-5564.
42. Karp, P. J., Katila, T. E., Saarinen, M., Siltanen, P., & Varpula, T. T. (1980). The normal human magnetocardiogram. ii. a multipole analysis. Circ Res, 47(7), 117-130.
43. Kay, S. M. (1993). Fundamentals of Statistical Signal Processing: Estimation Theory. Englewood Cliffs, NJ: Prentice Hall.
44. Kiebel, S. J., Tallon-Baudry, C., & Friston, K. J. (2005). Parametric analysis of oscillatory activity as measured with eeg/meg. Hum Brain Mapp, 26(3), 170-177.
45. Kooi, K. A., Holland-Moritz, E. K., & Marshall, R. E. (1969). Oscillatory motion of a dipole as a model for the generation of cerebral rhythms having asymmetrical wave forms including the "14 and 6/sec" pattern. Electroencephalogr Clin Neurophysiol, 26(1), 116.
46. RLeahy, M., Mosher, J. C., Spencer, M. E., Huang, M. X., & Lewine, J. D. (1998). A study of dipole localization accuracy for MEG and EEG using a human skull phantom. Electroencephalogr Clin Neurophysiol, 107(2), 159-173.
47. Lehmann, D., Darcey, T. M. & Skrandies, W. (1982). Intracerebral and scalp fields evoked by hemiretinal checkerboard reversal, and modeling of their dipole generators. Adv Neurol, 32, 41-48.
48. Lin, F. H., Belliveau, J. W., Dale, A. M., & Hämäläinen, M. S. (2006a). Distributed current estimates using cortical orientation constraints. Human brain mapping, 27(1), 1-13.
49. Lin, F. H., Witzel, T., Ahlfors, S. P., Stuffebeam, S. M., Belliveau, J. W., & Hämäläinen, M. S. (2006b). Assessing and improving the spatial accuracy in meg source localization by depth-weighted minimum-norm estimates. Neuroimage, 31(1), 160-171.
50. Mangin, J-F., Rivière, D., Coulon, O., Poupon, C., Cachia, A., Cointepas, Y., Poline, J-B., et al. (2004). Coordinate-based versus structural approaches to brain image analysis. Artif Intell Med, 30(2), 177-197.
51. Mattout, J., Phillips, C., Penny, W. D., Rugg, M. D., & Friston, K. J. (2006). Meg source localization under multiple constraints: an extended bayesian framework. Neuroimage, 30(3), 753-767.
52. McIntosh, A. R. & Lobaugh, N. J. (2004). Partial least squares analysis of neuroimaging data: applications and advances. Neuroimage, 23 SUPPL 1, S250-S263.
53. Meunier, S., Garnero, L., Ducorps, A., Mazières, L., Lehéricy, S., du Montcel, S. T.,et al. (2001). Human brain mapping in dystonia reveals both endophenotypic traits and adaptive reorganization. Ann Neurol, 50(4), 521-527.
54. Meunier, S., Lehéricy, S., Garnero, L., & Vidailhet, M. (2003). Dystonia: lessons from brain mapping. Neuroscientist, 9(1), 76-81.
55. Miller, W. T., & Geselowitz, D. B. (1974). Use of electric and magnetic data to obtain a multiple dipole inverse cardiac generator: a spherical model study. Ann Biomed Eng, 2(4), 343-360.
56. Mosher, J. C., Spencer, M. E., Leahy, R. M., & Lewis, P. S. (1993). Error bounds for eeg and meg dipole source localization. Electroencephalogr Clin Neurophysiol, 86(5), 303-321.
57. Mosher, J. C., Baillet, S., & Leahy, R. M. (1999). EEG source localization and imaging using multiple signal classification approaches. J Clin Neurophysiol, 16(3), 225-238.
58. Mosher, J.C., Baillet, S., Leahy, & R.M. (2003). Equivalence of linear approaches in bioelectromagnetic inverse solutions. In: Proceedings of the 2003 IEEE Workshop on Statistical Signal Processing, pp. 294-7.
59. Nichols, T. E., & Holmes, A. P. (2002). Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapp, 15(1), 1-25.
60. Nolte, G., & Curio, G. (1999). The effect of artifact rejection by signal-space projection on source localization accuracy in meg measurements. IEEE Trans Biomed Eng, 46(4), 400-408.
61. Okada, Y. C., Tanenbaum, R., Williamson, S. J., & Kaufman, L. (1984). Somatotopic organization of the human somatosensory cortex revealed by neuromagnetic measurements. Exp Brain Res, 56(2), 197-205.
62. Ossadtchi, A., Baillet, S., Mosher, J. C., Thyerlei, D., Sutherling, W., & Leahy, R. M. (2004). Automated interictal spike detection and source localization in magnetoencephalography using independent components analysis and spatio-temporal clustering. Clin Neurophysiol, 115(3), 508-522.
63. Pantazis, D., Nichols, T. E., Baillet, S., & Leahy, R. M. (2005). A comparison of random field theory and permutation methods for the statistical analysis of MEG data. Neuroimage, 25(2), 383-394.
64. Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1994). Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int J Psychophysiol, 18(1), 49-65.
65. Penfield, W. G., & Boldrey, E. (1937). Somatic motor and sensory representation in the cerebral cortex of man as studied by electrical stimulation. Brain, 60, 389-443.
66. Perrin, F., Pernier, J., Bertrand, O., Giard, M. H., & Echallier, J. F. (1987). Mapping of scalp potentials by surface spline interpolation. Electroencephalogr Clin Neurophysiol, 66(1), 75-81.
67. Petit-Dutaillis, D., Fischgold, H., & Rougerie, J. (1952). Progress made at the Neurosurgical Clinic of the Hôpital de la pitié from 1949 to 1952 in the localization and diagnosis of cerebral tumors by electroencephalography and arteriography. Bull Acad Natl Med, 136(24-26), 444-448.
68. Popper, K. R. (1959) The Logic of Scientific Discovery. New York: Basic Books.
69. Press, W. H., Flannery, B. P., Teukolsky, S. A., & Vetterling, W. T. (1986). Numerical Recipes: The Art of Scientific Computing. Cambridge: Cambridge University Press.
70. Sarvas, J. (1987). Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. Phys Med Biol, 32(1), 11-22.
71. Scherg, M. & von Cramon, D. (1985). Two bilateral sources of the late aep as identified by a spatio-temporal dipole model. Electroencephalogr Clin Neurophysiol, 62(1), 32-44.
72. Schmidt, R. O. (1986). Multiple emitter location and signal parameter estimation. IEEE Transactions on Antennas and Propagation, 34, 276-280.
73. Schwartz, D., Poiseau, E., Lemoine, D., & Barillot, C. (1996). Registration of MEG/EEG data with MRI: Methodology and precision issues. Brain Topography, 9, 101-116.
74. Sergent, C., Baillet, S., & Dehaene, S. (2005). Timing of the brain events underlying access to consciousness during the attentional blink. Nature Neuroscience, 8(10), 1391-1400.
75. Spencer, M.E., Leahy, R.M., Mosher, J.C., & Lewis, P.S. (1992). Adaptive filters for monitoring localized brain activity from surface potential time series. In: IEEE, ed., Conference Record of The Twenty-Sixth Asilomar Conference on Signals, Systems and Computers, Vol. 1, pp. 156-161.
76. Tao, J. X., Ray, A., Hawes-Ebersole, S., & Ebersole, J. S. (2005). In tracranial eeg substrates of scalp eeg interictal spikes. Epilepsia, 46(5), 669-676.
77. Tarantola, A. (2004). Inverse Problem Theory and Methods for Model Parameter Estimation. Philadelphia: SIAM Books.
78. Tarantola, A. (2006). Popper, Bayes and the inverse problem. Nat Phys, 2(8), 92-494.
79. Tikhonov, A., & Arsenin, V. (1977). Solutions of Ill-Posed Problems. Washington, D.C.:Winston & Sons.
80. Tuch, D. S., Wedeen, V. J., Dale, A. M., George, J. S., & Belliveau, J. W. (2001). Conductivity tensor mapping of the human brain using diffusion tensor mri. Proc Natl Acad Sci USA, 98(20), 11697-11701.
81. Turner, R., Howseman, A., Rees, G. E., Josephs, O., & Friston, K. (1998). Functional magnetic resonance imaging of the human brain: Data acquisition and analysis. Exp Brain Res, 1-2(123), 5-12.
82. U.S. National Library of Medicine. The pubmed online database. Retrieved from: //.
83. Uutela, K. Taulu, S., & Hämäläinen, M. (2001). Detecting and correcting for head movements in neuromagnetic measurements. Neuroimage, 14(6), 1424-1431.
84. van Veen, D., & Buckley, K. M. (1988). Beamforming: a versatile approach to spatial filtering. ASSP Magazine, IEEE Signal Processing Magazine, 5, 4-24.
85. Waldorp, L. J., Huizenga, H. M., Nehorai, A., Grasman, R. P., & Molenaar, P. C. M. (2005). Model selection in spatio-temporal electromagnetic source analysis. IEEE Trans Biomed Eng, 52(3), 414-420.
86. Wang, J. Z., Williamson, S. J., & Kaufman, L. (1992). Magnetic source images determined by a lead-field analysis: the unique minimum-norm least-squares estimation. IEEE Trans Biomed Eng, 39(7), 665-675.
87. Wax, M., & Y. Anu, Y. (1996). Performance analysis of the minimum variance beamformer. IEEE Transactions on Signal Processing, 44, 928-937.
88. Wood, C. C., Cohen, D., Cuffn, B. N., Yarita, M., & Allison, T. (1985). Electrical sources in human somatosensory cortex: identification by combined magnetic and potential recordings. Science, 227(4690), 1051-1053.
89. Zimmerman, J. T., Reite, M., & Zimmerman, J. E. (1981). Magnetic auditory evoked fields:dipole orientation. Electroencephalogr Clin Neurophysiol, 52, 151-156.