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Items: 1 to 20 of 159

1.

Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC.

Jun SC, George JS, Kim W, Paré-Blagoev J, Plis S, Ranken DM, Schmidt DM.

Neuroimage. 2008 May 1;40(4):1581-94. doi: 10.1016/j.neuroimage.2007.12.029. Epub 2007 Dec 28.

2.

Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data.

Jun SC, George JS, Paré-Blagoev J, Plis SM, Ranken DM, Schmidt DM, Wood CC.

Neuroimage. 2005 Oct 15;28(1):84-98. Epub 2005 Jul 15.

PMID:
16023866
3.

Bayesian model averaging in EEG/MEG imaging.

Trujillo-Barreto NJ, Aubert-Vázquez E, Valdés-Sosa PA.

Neuroimage. 2004 Apr;21(4):1300-19.

PMID:
15050557
4.

Bayesian analysis of the neuromagnetic inverse problem with l(p)-norm priors.

Auranen T, Nummenmaa A, Hämäläinen MS, Jääskeläinen IP, Lampinen J, Vehtari A, Sams M.

Neuroimage. 2005 Jul 1;26(3):870-84. Epub 2005 Apr 8.

PMID:
15955497
5.
6.

Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods.

Nummenmaa A, Auranen T, Hämäläinen MS, Jääskeläinen IP, Lampinen J, Sams M, Vehtari A.

Neuroimage. 2007 Apr 1;35(2):669-85. Epub 2007 Feb 12.

PMID:
17300961
7.

Multiple sparse priors for the M/EEG inverse problem.

Friston K, Harrison L, Daunizeau J, Kiebel S, Phillips C, Trujillo-Barreto N, Henson R, Flandin G, Mattout J.

Neuroimage. 2008 Feb 1;39(3):1104-20. Epub 2007 Oct 10.

PMID:
17997111
8.

Geometrical interpretation of fMRI-guided MEG/EEG inverse estimates.

Ahlfors SP, Simpson GV.

Neuroimage. 2004 May;22(1):323-32.

PMID:
15110022
9.
10.

Controlled Support MEG imaging.

Nagarajan SS, Portniaguine O, Hwang D, Johnson C, Sekihara K.

Neuroimage. 2006 Nov 15;33(3):878-85. Epub 2006 Sep 15.

11.

Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG.

Kiebel SJ, Daunizeau J, Phillips C, Friston KJ.

Neuroimage. 2008 Jan 15;39(2):728-41. Epub 2007 Sep 14.

PMID:
17951076
12.

Mapping function in the human brain with magnetoencephalography, anatomical magnetic resonance imaging, and functional magnetic resonance imaging.

George JS, Aine CJ, Mosher JC, Schmidt DM, Ranken DM, Schlitt HA, Wood CC, Lewine JD, Sanders JA, Belliveau JW.

J Clin Neurophysiol. 1995 Sep;12(5):406-31. Review.

PMID:
8576388
13.

Bayesian multi-modal model comparison: a case study on the generators of the spike and the wave in generalized spike-wave complexes.

Daunizeau J, Vaudano AE, Lemieux L.

Neuroimage. 2010 Jan 1;49(1):656-67. doi: 10.1016/j.neuroimage.2009.06.048. Epub 2009 Jun 25.

PMID:
19559798
14.

MEG source localization under multiple constraints: an extended Bayesian framework.

Mattout J, Phillips C, Penny WD, Rugg MD, Friston KJ.

Neuroimage. 2006 Apr 15;30(3):753-67. Epub 2005 Dec 20.

PMID:
16368248
15.

Integrated MEG and fMRI model: synthesis and analysis.

Babajani A, Nekooei MH, Soltanian-Zadeh H.

Brain Topogr. 2005 Winter;18(2):101-13. Epub 2005 Dec 5.

PMID:
16341578
16.

Simultaneous EEG and MEG source reconstruction in sparse electromagnetic source imaging.

Ding L, Yuan H.

Hum Brain Mapp. 2013 Apr;34(4):775-95. doi: 10.1002/hbm.21473. Epub 2011 Nov 18.

PMID:
22102512
17.

A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem.

Baillet S, Garnero L.

IEEE Trans Biomed Eng. 1997 May;44(5):374-85.

PMID:
9125822
18.

A probabilistic solution to the MEG inverse problem via MCMC methods: the reversible jump and parallel tempering algorithms.

Bertrand C, Ohmi M, Suzuki R, Kado H.

IEEE Trans Biomed Eng. 2001 May;48(5):533-42.

PMID:
11341527
19.

Monte Carlo simulation studies of EEG and MEG localization accuracy.

Liu AK, Dale AM, Belliveau JW.

Hum Brain Mapp. 2002 May;16(1):47-62.

PMID:
11870926
20.

Bayesian spatiotemporal model of fMRI data.

Quirós A, Diez RM, Gamerman D.

Neuroimage. 2010 Jan 1;49(1):442-56. doi: 10.1016/j.neuroimage.2009.07.047. Epub 2009 Jul 29.

PMID:
19646535
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