112 related articles for article (PubMed ID: 16978882)
1. Controlled Support MEG imaging.
Nagarajan SS; Portniaguine O; Hwang D; Johnson C; Sekihara K
Neuroimage; 2006 Nov; 33(3):878-85. PubMed ID: 16978882
[TBL] [Abstract][Full Text] [Related]
2. Bayesian model averaging in EEG/MEG imaging.
Trujillo-Barreto NJ; Aubert-Vázquez E; Valdés-Sosa PA
Neuroimage; 2004 Apr; 21(4):1300-19. PubMed ID: 15050557
[TBL] [Abstract][Full Text] [Related]
3. 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; 40(4):1581-94. PubMed ID: 18314351
[TBL] [Abstract][Full Text] [Related]
4. 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; 39(3):1104-20. PubMed ID: 17997111
[TBL] [Abstract][Full Text] [Related]
5. 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; 35(2):669-85. PubMed ID: 17300961
[TBL] [Abstract][Full Text] [Related]
6. MEG-based imaging of focal neuronal current sources.
Phillips JW; Leahy RM; Mosher JC
IEEE Trans Med Imaging; 1997 Jun; 16(3):338-48. PubMed ID: 9184896
[TBL] [Abstract][Full Text] [Related]
7. [Application of weighted minimum-norm estimation with Tikhonov regularization for neuromagnetic source imaging].
Hu J; Hu J; Wang Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2003 Mar; 20(1):157-61. PubMed ID: 12744189
[TBL] [Abstract][Full Text] [Related]
8. 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; 26(3):870-84. PubMed ID: 15955497
[TBL] [Abstract][Full Text] [Related]
9. MEG Connectivity and Power Detections with Minimum Norm Estimates Require Different Regularization Parameters.
Hincapié AS; Kujala J; Mattout J; Daligault S; Delpuech C; Mery D; Cosmelli D; Jerbi K
Comput Intell Neurosci; 2016; 2016():3979547. PubMed ID: 27092179
[TBL] [Abstract][Full Text] [Related]
10. A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts.
Fujiwara Y; Yamashita O; Kawawaki D; Doya K; Kawato M; Toyama K; Sato MA
Neuroimage; 2009 Apr; 45(2):393-409. PubMed ID: 19150653
[TBL] [Abstract][Full Text] [Related]
11. A general linear model for MEG beamformer imaging.
Brookes MJ; Gibson AM; Hall SD; Furlong PL; Barnes GR; Hillebrand A; Singh KD; Holliday IE; Francis ST; Morris PG
Neuroimage; 2004 Nov; 23(3):936-46. PubMed ID: 15528094
[TBL] [Abstract][Full Text] [Related]
12. 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. PubMed ID: 9125822
[TBL] [Abstract][Full Text] [Related]
13. Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG.
Wipf DP; Owen JP; Attias HT; Sekihara K; Nagarajan SS
Neuroimage; 2010 Jan; 49(1):641-55. PubMed ID: 19596072
[TBL] [Abstract][Full Text] [Related]
14. Hierarchical Bayesian estimation for MEG inverse problem.
Sato MA; Yoshioka T; Kajihara S; Toyama K; Goda N; Doya K; Kawato M
Neuroimage; 2004 Nov; 23(3):806-26. PubMed ID: 15528082
[TBL] [Abstract][Full Text] [Related]
15. A new wavelet transform to sparsely represent cortical current densities for EEG/MEG inverse problems.
Liao K; Zhu M; Ding L
Comput Methods Programs Biomed; 2013 Aug; 111(2):376-88. PubMed ID: 23706527
[TBL] [Abstract][Full Text] [Related]
16. Linear inverse solutions: simulations from a realistic head model in MEG.
Soufflet L; Boeijinga PH
Brain Topogr; 2005; 18(2):87-99. PubMed ID: 16341577
[TBL] [Abstract][Full Text] [Related]
17. Fusion of magnetometer and gradiometer sensors of MEG in the presence of multiplicative error.
Mohseni HR; Woolrich MW; Kringelbach ML; Luckhoo H; Smith PP; Aziz TZ
IEEE Trans Biomed Eng; 2012 Jul; 59(7):1951-61. PubMed ID: 22531739
[TBL] [Abstract][Full Text] [Related]
18. Application of multi-source minimum variance beamformers for reconstruction of correlated neural activity.
Moiseev A; Gaspar JM; Schneider JA; Herdman AT
Neuroimage; 2011 Sep; 58(2):481-96. PubMed ID: 21704172
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals.
Yoshioka T; Toyama K; Kawato M; Yamashita O; Nishina S; Yamagishi N; Sato MA
Neuroimage; 2008 Oct; 42(4):1397-413. PubMed ID: 18620066
[TBL] [Abstract][Full Text] [Related]
20. A technique to consider mismatches between fMRI and EEG/MEG sources for fMRI-constrained EEG/MEG source imaging: a preliminary simulation study.
Im CH; Lee SY
Phys Med Biol; 2006 Dec; 51(23):6005-21. PubMed ID: 17110766
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]