A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts

NeuroImage

Volumn 45, Issue 2, 2009, Pages 393-409

  Fujiwara, Yusuke ^a,b   Yamashita, Okito ^b   Kawawaki, Dai ^b   Doya, Kenji ^a,b,c   Kawato, Mitsuo ^a,b   Toyama, Keisuke ^b   Sato, Masa aki ^b  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^b ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^c OKINAWA INSTITUTE OF SCIENCE AND TECHNOLOGY GRADUATE UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ARTIFACT REDUCTION; BAYES THEOREM; CORRELATION ANALYSIS; ELECTROOCULOGRAM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; HYBRID HIERARCHICAL VARIATIONAL BAYESIAN METHOD WITH EYE DIPOLE; MAGNETOENCEPHALOGRAPHY; MALE; MATHEMATICAL MODEL; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIMULATION; SMOOTH PURSUIT EYE MOVEMENT; TASK PERFORMANCE;

ALGORITHMS; BAYES THEOREM; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; EYE MOVEMENTS; HUMANS; MAGNETOENCEPHALOGRAPHY; MALE; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 60149093261     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2008.12.012     Document Type: Article

References (35)

1. Attias H. Inferring parameters and structure of latent variable models by variational Bayes. Proc. 15th Conf. Uncertain. Artif. Intell. (1999) 21-30
2. Barbati G., Porcaro C., Zappasodi F., Rossini P.M., and Tecchio F. Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals. Clin. Neurophysiol. 115 5 (2004) 1220-1232
3. Berg P., and Scherg M. A multiple source approach to the correction of eye artifacts. Electroencephalogr. Clin. Neurophysiol. 90 3 (1994) 229-241
4. Cardoso J.F., and Souloumiac A. Blind beamforming for non Gaussian signals. IEE Proc. F 140 (1993) 362-370
5. Carpenter R. Movements of the Eyes. 2nd ed. (1988), Pion London
6. Croft R.J., and Barry R.J. Removal of ocular artifact from the EEG: a review. Neurophysiol. Clin. 30 (2000) 5-19
7. Daunizeau J., and Friston K.J. A mesostate-space model for EEG and MEG. NeuroImage 38 (2007) 67-81
8. Daunizeau J., Grova C., Mattout J., Marrelec G., Clonda D., Goulard B., Lina J.M., and Benali H. Assessing the relevance of fMRI-based prior in the EEG inverse problem: a Bayesian model comparison approach. IEEE Trans. Signal Process. 53 (2005) 3461-3472
9. Friston K., Harrison L., Daunizeau J., Kiebel S., Phillips C., Trujillo-Barreto N., Henson R., Flandin G., and Mattout J. Multiple sparse priors for the M/EEG inverse problem. NeuroImage 39 (2008) 1104-1120
10. Fukushima K., Yamanobe T., Shinmei Y., and Fukushima J. Predictive responses of periarcuate pursuit neurons to visual target motion. Exp. Brain Res. 145 1 (2002) 104-120
11. Jervis B.W., Ifeachor E.C., and Allen E.M. The removal of ocular artefacts from the electroencephalogram: a review. Med. Biol. Eng. Comput. 26 (1998) 2-12
12. Jung T.P., Makeig S., Humphries C., Lee T.W., McKeown M.J., Iragui V., and Sejnowski T.J. Removing electroencephalographic artifacts by blind source separation. Psychophysiology 37 2 (2000) 163-178
13. Kajihara S., Ohtani Y., Goda N., Tanigawa M., and Toyama K. Wiener filter magnetoencephalography of visual cortical activities. Brain Topogr. 17 1 (2004) 13-25
14. Katila T., Maniewski R., Poutanen T., and Varpula T. Magnetic fields produced by the human eye. J. Appl. Phys. 52 2 (1981) 2565-2571
15. Kawawaki D., Shibata T., Goda N., Doya K., and Kawato M. Anterior and superior lateral occipito-temporal cortex responsible for target motion prediction during overt and covert visual pursuit. Neurosci. Res. 54 2 (2006) 112-123
16. Kenemans J.L., Molenaar P.C., Verbaten M.N., and Slangen J.L. Removal of the ocular artifact from the EEG: a comparison of time and frequency domain methods with simulated and real data. Psychophysiology 28 1 (1991) 114-121
17. Kiebel S.J., Daunizeau J., Phillips C., and Friston K.J. Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG. NeuroImage 39 (2008) 728-741
18. Krauzlis R.J. Recasting the smooth pursuit eye movement system. J. Neurophysiol. 91 (2004) 591-603
19. MacAvoy M.G., Gottlieb J.P., and Bruce C.J. Smooth-pursuit eye movement representation in the primate frontal eye field. Cereb. Cortex 1 1 (1991) 95-102
20. Malmivuo J., and Plonsey R. Bioelectromagnetism: Principles and Applications of Bioelectric and Biomagnetic Fields (1995), Oxford Univ Pr
21. Meier T., Rosburg T., Arnold M., Kreitschmann-Andermahr I., Sauer H., Nowak H., and Witte H. Quantification and rejection of ocular artifacts in auditory evoked fields in schizophrenics. Electroencephalogr. Clin. Neurophysiol. 108 6 (1998) 526-535
22. Miles W.R. The steady polarity potential of the human eye. Proc. Natl. Acad. Sci. U. S. A. 25 (1939) 25-36
23. Neal R.M. Bayesian Learning for Neural Networks (1996), Springer-Verlag
24. Newsome W.T., Wurtz H., and Komatsu R.H. Relation of cortical areas MT and MST to pursuit eye movements. II. Differentiation of retinal from extraretinal inputs. J. Neurophysiol. 60 2 (1988) 604-620
25. Nummenmaa A., Auranen T., Hämäläinen M.S., Jääskeläinen I.P., Sams M., Vehtari A., and Lampinen J. Automatic relevance determination based hierarchical Bayesian MEG inversion in practice. NeuroImage 37 (2007) 876-889
26. Petit L., and Haxby J.V. Functional anatomy of pursuit eye movements in humans as revealed by fMRI. J. Neurophysiol. 82 1 (1999) 463-471
27. Sarvas J. Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. Phys. Med. Biol. 32 (1987) 11-22
28. Sato M. On-line model selection based on the variational Bayes. Neural Comput. 13 (2001) 1649-1681
29. Sato M., Yoshioka T., Kajihara S., Toyama K., Goda N., Doya K., and Kawato M. Hierarchical Bayesian estimation for MEG inverse problem. NeuroImage 23 3 (2004) 806-826
30. Shackel B. Pilot study in electro-oculography. Br. J. Ophthal. 44 (1960) 89-113
31. Vigario R., Särelä J., Jousmäki V., Hämäläinen M.S., and Oja E. Independent component approach to the analysis of EEG and MEG recordings. IEEE Trans. Biomed. Eng. 47 5 (2000) 589-593
32. Vigario R.N. Extraction of ocular artefacts from EEG using independent component analysis. Electroencephalogr. Clin. Neurophysiol. 103 (1997) 395-404
33. Wang J.Z., Williamson S.J., and Kaufman L. Magnetic source images determined by a lead-field analysis: the unique minimum-norm least-squares estimation. IEEE Trans. Biomed. Eng. 39 7 (1992) 665-675
34. Wipf, D. and Nagarajan, S., 2009. A unified Bayesian framework for MEG/EEG source imaging. Neuroimage 44, 947-966.
35. Yoshioka T., Toyama K., Kawato M., Yamashita O., Nishina S., Yamagishi N., and Sato M. Evaluation of hierarchical Bayesian method through retinotopic brain activities from fMRI and MEG signals. NeuroImage 42 (2008) 1397-1413