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Journal Abstract Search
522 related items for PubMed ID: 17047269
21. A three domain covariance framework for EEG/MEG data. Roś BP, Bijma F, de Gunst MC, de Munck JC. Neuroimage; 2015 Oct 01; 119():305-15. PubMed ID: 26072253 [Abstract] [Full Text] [Related]
22. Time-frequency MEG-MUSIC algorithm. Sekihara K, Nagarajan S, Poeppel D, Miyashita Y. IEEE Trans Med Imaging; 1999 Jan 01; 18(1):92-7. PubMed ID: 10193700 [Abstract] [Full Text] [Related]
23. Anatomically constrained dipole adjustment (ANACONDA) for accurate MEG/EEG focal source localizations. Im CH, Jung HK, Fujimaki N. Phys Med Biol; 2005 Oct 21; 50(20):4931-53. PubMed ID: 16204881 [Abstract] [Full Text] [Related]
24. Estimated generalized least squares electromagnetic source analysis based on a parametric noise covariance model. Waldorp LJ, Huizenga HM, Dolan CV, Molenaar PC. IEEE Trans Biomed Eng; 2001 Jun 21; 48(6):737-41. PubMed ID: 11396604 [Abstract] [Full Text] [Related]
25. Bayesian solutions and performance analysis in bioelectric inverse problems. Serinagaoglu Y, Brooks DH, MacLeod RS. IEEE Trans Biomed Eng; 2005 Jun 21; 52(6):1009-20. PubMed ID: 15977731 [Abstract] [Full Text] [Related]
26. Direct reconstruction algorithm of current dipoles for vector magnetoencephalography and electroencephalography. Nara T, Oohama J, Hashimoto M, Takeda T, Ando S. Phys Med Biol; 2007 Jul 07; 52(13):3859-79. PubMed ID: 17664582 [Abstract] [Full Text] [Related]
27. A generalized spatiotemporal covariance model for stationary background in analysis of MEG data. Plis SM, Schmidt DM, Jun SC, Ranken DM. Conf Proc IEEE Eng Med Biol Soc; 2006 Jul 07; 2006():3680-3. PubMed ID: 17946196 [Abstract] [Full Text] [Related]
28. Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models. Daunizeau J, Mattout J, Clonda D, Goulard B, Benali H, Lina JM. IEEE Trans Biomed Eng; 2006 Mar 07; 53(3):503-16. PubMed ID: 16532777 [Abstract] [Full Text] [Related]
29. Linear inverse solutions: simulations from a realistic head model in MEG. Soufflet L, Boeijinga PH. Brain Topogr; 2005 Mar 07; 18(2):87-99. PubMed ID: 16341577 [Abstract] [Full Text] [Related]
30. Noise covariance incorporated MEG-MUSIC algorithm: a method for multiple-dipole estimation tolerant of the influence of background brain activity. Sekihara K, Poeppel D, Marantz A, Koizumi H, Miyashita Y. IEEE Trans Biomed Eng; 1997 Sep 07; 44(9):839-47. PubMed ID: 9282476 [Abstract] [Full Text] [Related]
31. 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. PubMed ID: 17951076 [Abstract] [Full Text] [Related]
32. Line-source modeling and estimation with magnetoencephalography. Yetik IS, Nehorai A, Muravchik CH, Haueisen J. IEEE Trans Biomed Eng; 2005 May 15; 52(5):839-51. PubMed ID: 15887533 [Abstract] [Full Text] [Related]
33. Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates. Lin FH, Witzel T, Ahlfors SP, Stufflebeam SM, Belliveau JW, Hämäläinen MS. Neuroimage; 2006 May 15; 31(1):160-71. PubMed ID: 16520063 [Abstract] [Full Text] [Related]
34. Data-driven parceling and entropic inference in MEG. Lapalme E, Lina JM, Mattout J. Neuroimage; 2006 Mar 15; 30(1):160-71. PubMed ID: 16426867 [Abstract] [Full Text] [Related]
36. Statistical performance analysis of signal variance-based dipole models for MEG/EEG source localization and detection. Rodríguez-Rivera A, Van Veen BD, Wakai RT. IEEE Trans Biomed Eng; 2003 Feb 15; 50(2):137-49. PubMed ID: 12665027 [Abstract] [Full Text] [Related]
37. Realignment of magnetoencephalographic data for group analysis in the sensor domain. Ross B, Charron RE, Jamali S. J Clin Neurophysiol; 2011 Apr 15; 28(2):190-201. PubMed ID: 21399522 [Abstract] [Full Text] [Related]
38. Bayesian estimates of error bounds for EEG source imaging. Russell GS, Srinivasan R, Tucker DM. IEEE Trans Med Imaging; 1998 Dec 15; 17(6):1084-9. PubMed ID: 10048866 [Abstract] [Full Text] [Related]
39. Modeling sparse connectivity between underlying brain sources for EEG/MEG. Haufe S, Tomioka R, Nolte G, Müller KR, Kawanabe M. IEEE Trans Biomed Eng; 2010 Aug 15; 57(8):1954-63. PubMed ID: 20483681 [Abstract] [Full Text] [Related]
40. 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 01; 45(2):393-409. PubMed ID: 19150653 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]