Evaluation of EEG localization methods using realistic simulations of interictal spikes

NeuroImage

Volumn 29, Issue 3, 2006, Pages 734-753

  Grova, C ^a   Daunizeau, J ^b,d   Lina, J M ^b,c,d   Benar C G ^a   Benali, H ^b,d   Gotman, J ^a  

^a MCGILL UNIVERSITY   (Canada)

^b UNIVERSITÉ DE MONTRÉAL   (Canada)

^c ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

^d PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

Author keywords

EEG; Interictal spikes; Regularization techniques; ROC; Source localization; Validation

Indexed keywords

ACCURACY; AMPLITUDE MODULATION; ARTICLE; BRAIN CORTEX; BRAIN DEPTH STIMULATION; ELECTROENCEPHALOGRAM; ENTROPY; EVALUATION; MATHEMATICAL ANALYSIS; NOISE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SIGNAL DETECTION; SPIKE WAVE; VALIDATION STUDY;

ALGORITHMS; AREA UNDER CURVE; CEREBRAL CORTEX; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; ENTROPY; EPILEPSY; HEAD; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 31044453833     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2005.08.053     Document Type: Article

References (62)

1. G. Alarcon, C. Guy, S. Walker, R. Elwes, and C. Polkey Intracerebral propagation of interictal activity in partial epilepsy: implications for source localization J. Neurol. Neurosurg. Psychiatry 57 1994 435 449
2. A. Al-Asmi, C.G. Bénar, D. Gross, Y. Aghakhani, F. Andermann, B. Pike, F. Dubeau, and J. Gotman fMRI activation in continuous and spike-triggered EEG-fMRI studies of epileptic spikes Epilepsia 44 10 2003 1328 1339
3. C. Amblard, E. Lapalme, and J.M. Lina Biomagnetic cortical sources reconstruction by maximum entropy on the mean IEEE Trans. Biomed. Eng. 51 3 2004 427 442
4. G. Backus, and F. Gilbert Uniqueness in the inversion of inaccurate gross earth data Philos. Trans. R. Soc. Lond., A 266 1970 123 192
5. S. Baillet, J. Mosher, and R. Leahy Electromagnetic brain mapping IEEE Signal Process. Mag. 2001 14 30
6. C. Baumgartner Controversies in clinical neurophysiology. MEG is superior to EEG in the localization of interictal epileptiform activity: Con Clin. Neurophysiol. 115 5 2004 1010 1020
7. C.G. Bénar, R. Gunn, C. Grova, B. Champagne, and J. Gotman Statistical maps for EEG dipolar source localization IEEE Trans. Biomed. Eng. 52 3 2005 401 413
8. Bjorkstrom, A. (2000). Ridge regression and inverse problem. Technical report, Research reports in Mathematical Statistics, Department of Mathematics Stockholm University. URL: http://www.math.su.se/matstat/reports/seriea/2000/ rep5/report.pdf.
9. F. Chassoux, F. Semah, V. Bouilleret, E. Landre, B. Devaux, B. Turak, F. Nataf, and F. Roux Metabolic changes and electroclinical patterns in mesiotemporal lobe epilepsy: a correlative study Brain 127 1 2004 1 11
10. P. Chauvel, J. Vignal, A. Biraben, J.M. Badier, and J.M. Scarabin G. Pawlik H. Stefan Multimethodological Assessment of the Epileptic Forms, Chapter Stereoencephalography 1996 Springer Verlag New York 80 108
11. C. Clarke, and B. Janday The solution of biomagnetic inverse problem by maximum statistical entropy Inverse Probl. 5 1989 483 500
12. R. Cooper, A.L. Winter, H.J. Crow, and W.G. Walter Comparison of subcortical, cortical and scalp activity using chronically indwelling electrodes in man Electroencephalogr. Clin. Neurophysiol. 18 1965 217 228
13. A. Dale, and M. Sereno Improved localization of cortical activity by combining EEG and MEG with MRI surface reconstruction: a linear approach J. Cogn. Neurosci. 5 1993 162 176
14. F. Darvas, D. Pantazis, E. Kucukaltun-Yildirim, and R. Leahy Mapping human brain function with MEG and EEG: methods and validation NeuroImage 23 2004 S289 S299
15. J. Daunizeau, J. Mattout, B. Goulard, J.M. Lina, and H. Benali Data-driven cortex parcelling: a regularization tool for the EEG/MEG inverse problem Proceedings of the IEEE International Conference on Image Processing (ISBI 2004) 2004 1343 1346
16. J. Daunizeau, C. Grova, J. Mattout, G. Marrelec, D. Clonda, B. Goulard, M. Pélégrini-Issac, J.M. Lina, and H. Benali Assessing the relevance of fMRI-based prior in the EEG inverse problem: a Bayesian model comparison approach IEEE Trans. Signal Process. 53 9 2005 3461 3472 (Special issue on data fusion in neuroimaging)
17. O. David, and L. Garnero Time-coherent expansion of MEG/EEG cortical sources NeuroImage 17 2002 1277 1289
18. M. Devous, R. Thisted, G. Morgan, R. Leroy, and C. Rowe SPECT brain imaging in epilepsy: a meta-analysis J. Nucl. Med. 39 2 1998 285 293
19. J. Ebersole Defining epileptogenic foci: past, present, future J. Clin. Neurophysiol. 14 6 1997 470 483
20. B. Efron, and R. Tibshirani An introduction to the bootstrap Number 57 in Monographs on Statistics and Applied Probability 1993 Chapman and Hall/CRC
21. M. Fuchs, M. Wagner, H. Wischmann, T. Kohler, A. Theissen, R. Drenkhahn, and H. Buchner Improving source reconstructions by combining bioelectric and biomagnetic data Electroencephalogr. Clin. Neurophysiol. 107 1998 93 111
22. M. Fuchs, M. Wagner, T. Kohler, and H.-A. Wischmann Linear and nonlinear current density reconstructions J. Clin. Neurophysiol. 16 3 1999 267 295
23. I. Gorodnitsky, J. George, and B. Rao Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm Electroencephalogr. Clin. Neurophysiol. 95 1995 231 251
24. J. Gotman, C. Bénar, and F. Dubeau Combining EEG and fMRI in epilepsy: methodological challenges and clinical results J. Clin. Neurophysiol. 21 4 2004 229 240
25. R. Grave de Peralta Menendez, and S. Gonzales Andino A critical analysis of linear inverse solutions to the neuroelectromagnetic inverse problem IEEE Trans. Biomed. Eng. 45 4 1998 440 448
26. R. Grave de Peralta Menendez, S. Gonzales Andino, and B. Lutkenhoner Figures of merit to compare distributed linear inverse solutions Brain Topogr. 9 2 1996 117 124
27. R. Grave de Peralta Menendez, S. Gonzales Andino, G. Lantz, C. Michel, and T. Landis Noninvasive localization of electromagnetic epileptic activity, I. Method descriptions and simulations Brain Topogr. 14 2 2001 131 137
28. M. Hamalainen, and R. Ilmoniemi Interpreting magnetic fields of the brain: minimum norm estimates Med. Biol. Eng. Comput. 32 1994 35 42
29. P. Hansen Analysis of ill-posed problems by means of the L-curve SIAM Rev. 34 1992 561 580
30. C. Im, K. An, H. Jung, H. Kwon, and Y. Lee Assessment criteria for MEG/EEG cortical patch tests Phys. Med. Biol. 48 2003 2561 2573
31. P. Jannin, J. Fitzpatrick, D. Hawkes, X. Pennec, R. Shahidi, and M. Vannier Editorial: validation of medical image processing in image-guided therapy IEEE Trans. Med. Imag. 21 11 2002 1445 1449
32. W. Kincses, C. Braun, S. Kaiser, W. Grodd, H. Ackermann, and K.M. Mathiak Reconstruction of extended cortical sources for EEG and MEG based on a Monte-Carlo-Markov-Chain estimator Hum. Brain Mapp. 18 2003 100 110
33. K. Kobayashi, H. Yoshinaga, M. Oka, Y. Ohtsuka, and J. Gotman A simulation study of the error in dipole source localization for EEG spikes with a realistic head model Clin. Neurophysiol. 114 2003 1069 1078
34. Z. Koles Trends in EEG source localization Electroencephalogr. Clin. Neurophysiol. 106 1998 219 230
35. A. Liu, J. Belliveau, and A. Dale Spatiotemporal imaging of human activity using functional MRI constrained magnetoencephalography data: Monte Carlo simulations Proc. Natl. Acad. Sci. U. S. A. 95 1998 8945 8950
36. A. Liu, A. Dale, and J. Belliveau Monte Carlo simulation studies of EEG and MEG localization accuracy Hum. Brain Mapp. 16 2002 47 62
37. H. Luders, and I. Awad H.O. Luders Epilepsy Surgery: Conceptual Considerations 1992 Raven Press Publishers 51 62
38. J.F. Mangin From 3D magnetic resonance imaging to structural representation of the cortex topography using topology preserving deformations J. Math. Imaging Vis. 5 1995 297 318
39. J. Mattout, M. Pélégrini-Issac, L. Garnero, and H. Benali Multivariate source prelocalization: use of functionally informed basis functions for better conditioning the MEG inverse problem NeuroImage 26 2 2005 356 373
40. I. Merlet, and J. Gotman Reliability of dipole models of epileptic spikes Clin. Neurophysiol. 110 6 1999 1013 1028
41. C. Metz ROC methodology in radiologic imaging Invest. Radiol. 21 9 1986 720 732
42. C. Michel, G. Lantz, L. Spinelli, R. Grave de Peralta, T. Landis, and M. Seeck 128-channel EEG source imaging in epilepsy: clinical yield and localization precision J. Clin. Neurophysiol. 21 2 2004 71 83
43. C. Michel, M. Murray, G. Lantz, S. Gonzales, L. Spinelli, and R. Grave de Peralta EEG source imaging Clin. Neurophysiol. 115 2004 2195 2222
44. V. Morozov The error principle in the solution of operators equations by the regularization method USSR Comp. Math. Phys. 28 1968 69 80
45. J. Mosher, and R. Leahy Source localization using recursively applied and projected (RAP) MUSIC IEEE Trans. Signal Process. 47 2 1999 332 340
46. J. Mosher, R. Leahy, and P. Lewis EEG and MEG: forward solutions for inverse methods IEEE Trans. Biomed. Eng. 46 1999 245 259
47. N. Otsu A threshold selection method from gray-level histograms IEEE Trans. Syst. Man Cybern. 9 1 1979 62 69
48. R. Pascual-Marqui Reply to comments by Hamlainen, Ilmoniemi and Nunez. in Source Localization: continuing discussion of the inverse problem ISBET Newsl. 6 1995 16 28
49. R. Pascual-Marqui Review of methods for solving the EEG inverse problem Int. J. Bioelectromagn. 1 1 1999 75 86
50. R. Pascual-Marqui Standardized low resolution brain electromagnetic tomography (sLORETA): technical details Methods Find. Exp. Clin. Pharmacol. 24D 2002 5 12
51. R. Pascual-Marqui, C. Michel, and D. Lehman Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain Int. J. Psychophysiol. 18 1994 49 65
52. R. Pascual-Marqui, M. Esslen, K. Kochi, and D. Lehmann Functional imaging with low resolution brain electromagnetic tomography (LORETA): review, new comparisons, and new validation Jpn. J. Clin. Neurophysiol. 30 2002 81 94
53. M. Scherg, and D. Von Cramon Evoked dipole source potentials of the human auditory cortex Electroencephalogr. Clin. Neurophysiol. 65 1986 344 360
54. D. Schmidt, J. George, and C. Wood Bayesian inference applied to the electromagnetic inverse problem Hum. Brain Mapp. 7 1999 195 212
55. K. Sekihara, S. Nagarajan, D. Poeppel, A. Marantz, and Y. Miyashita Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique IEEE Trans. Biomed. Eng. 48 7 2001 760 771
56. E.-J. Speckmann, C. Elger, and U. Altrup Neurophysiologic basis of the electroencephalogram E. Niedermeyer F. Lopes Da Silva Electroencephalography: Basic Principles, Clinical Applications, and Related Fields 5th ed. 2004 Lippincott, Williams and Wilkins Baltimore 149 163 chapter 12
57. S. Spencer Neural networks in human epilepsy: evidence of and implications for treatment Epilepsia 43 3 2002 219 227
58. J. Stephen, C. Aine, D. Ranken, D. Hudson, and J. Shih Multidipole analysis of simulated epileptic spikes with real background activity J. Clin. Neurophysiol. 20 1 2003 1 16
59. A. Tikhonov, and V. Arsenin Solutions of Ill-Posed Problems 1977 W.H. Winston Washington, DC English Translation by F. John
60. N. Trujillo-Barreto, E. Aubert-Vazquez, and P. Valdes-Sosa Bayesian model averaging in EEG/MEG imaging NeuroImage 21 2004 1300 1319
61. M. Wagner, M. Fuchs, R. Drenckhahn, H.-A. Wischmann, T. Köhler, and A. Theißen Automatic generation of BEM and FEM meshes NeuroImage 5 1997 389
62. O. Yamashita, A. Galkas, T. Ozaki, R. Biscay, and P. Valdes-Sosa Recursive penalized least squares solution for dynamical inverse problems of EEG generation Hum. Brain Mapp. 21 2004 221 235