MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization

NeuroImage

Volumn 57, Issue 4, 2011, Pages 1466-1479

  Woolrich, Mark ^a   Hunt, Laurence ^a   Groves, Adrian ^a   Barnes, Gareth ^b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b WELLCOME TRUST CENTRE FOR NEUROIMAGING   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; MAGNETOENCEPHALOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBLEM SOLVING; SENSOR; SIGNAL NOISE RATIO; SIMULATION;

ALGORITHMS; BAYES THEOREM; BRAIN MAPPING; HUMANS; MAGNETOENCEPHALOGRAPHY; MODELS, NEUROLOGICAL; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 79960280623     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.04.041     Document Type: Article

References (28)

1. Adjamian P., Worthen S.F., Hillebrand A., Furlong P.L., Chizh B.A., Hobson A.R., Aziz Q., Barnes G.R. Effective electromagnetic noise cancellation with beamformers and synthetic gradiometry in shielded and partly shielded environments. J. Neurosci. Methods 2009, 178(1):120-127.
2. Barnes G.R., Hillebrand A. Statistical flattening of meg beamformer images. Hum. Brain Mapp. 2003, 18(1):1-12.
3. Barnes G.R., Hillebrand A., Fawcett I.P., Singh K.D. Realistic spatial sampling for meg beamformer images. Hum. Brain Mapp. 2004, 23(2):120-127.
4. Beckmann C., Smith S.M. Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans. Med. Imaging 2004, 23(2):137-152.
5. Behrens T.E.J., Berg H.J., Jbabdi S., Rushworth M.F.S., Woolrich M.W. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?. Neuroimage 2007, 34(1):144-155.
6. Bishop C. Variational principal components. Artificial Neural Networks 1999.
7. Brookes M.J., Stevenson C.M., Barnes G.R., Hillebrand A., Simpson M.I.G., Francis S.T., Morris P.G. Beamformer reconstruction of correlated sources using a modified source model. Neuroimage 2007, 34(4):1454-1465.
8. Brookes M.J., Vrba J., Robinson S.E., Stevenson C.M., Peters A.M., Barnes G.R., Hillebrand A., Morris P.G. Optimising experimental design for meg beamformer imaging. Neuroimage 2008, 39(4):1788-1802.
9. Dalal S.S., Baillet S., Adam C., Ducorps A., Schwartz D., Jerbi K., Bertrand O., Garnero L., Martinerie J., Lachaux J.-P. Simultaneous meg and intracranial eeg recordings during attentive reading. Neuroimage 2009, 45(4):1289-1304.
10. Fawcett I.P., Barnes G.R., Hillebrand A., Singh K.D. The temporal frequency tuning of human visual cortex investigated using synthetic aperture magnetometry. Neuroimage 2004, 21(4):1542-1553.
11. Friston K., Harrison L., Daunizeau J., Kiebel S., Phillips C., Trujillo-Barreto N., Henson R., Flandin G., Mattout J. Multiple sparse priors for the m/eeg inverse problem. Neuroimage 2008, 39(3):1104-1120.
12. Hillebrand A., Barnes G.R. The use of anatomical constraints with meg beamformers. Neuroimage 2003, 20(4):2302-2313.
13. Litvak V., Eusebio A., Jha A., Oostenveld R., Barnes G.R., Penny W.D., Zrinzo L., Hariz M.I., Limousin P., Friston K.J., Brown P. Optimized beamforming for simultaneous meg and intracranial local field potential recordings in deep brain stimulation patients. Neuroimage 2010, 50(4):1578-1588.
14. MacKay D. Developments in probabilistic modelling with neural networks-ensemble learning. Proceedings of the Third Annual Symposium on Neural Networks 1995, 191-198. Springer, Nijmwegen, Netherlands.
15. Nagarajan S.S., Portniaguine O., Hwang D., Johnson C., Sekihara K. Controlled support meg imaging. Neuroimage 2006, 33(3):878-885.
16. Nagarajan S.S., Attias H.T., Hild K.E., Sekihara K. A probabilistic algorithm for robust interference suppression in bioelectromagnetic sensor data. Stat. Med. 2007, 26(21):3886-3910.
17. Robinson S., Vrba J. Functional neuroimaging by synthetic aperture magnetometry. Recent advances in biomagnetism 1999, 302-305. T. Yoshimoto, M. Kotani, S. Kuriki, H. Karibe, N. Nakasato (Eds.).
18. Schäfer J., Strimmer K. A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics. Stat. Appl. Genet. Mol. Biol. 2005, 4. Article 32.
19. Sekihara K., Nagarajan S.S., Poeppel D., Marantz A., Miyashita Y. Reconstructing spatio-temporal activities of neural sources using an meg vector beamformer technique. IEEE Trans. Biomed. Eng. 2001, 48(7):760-771.
20. Sekihara K., Nagarajan S.S., Poeppel D., Marantz A., Miyashita Y. Application of an meg eigenspace beamformer to reconstructing spatio-temporal activities of neural sources. Hum. Brain Mapp. 2002, 15(4):199-215.
21. Sekihara K., Nagarajan S.S., Poeppel D., Marantz A. Asymptotic snr of scalar and vector minimum-variance beamformers for neuromagnetic source reconstruction. IEEE Trans. Biomed. Eng. 2004, 51(10):1726-1734.
22. Sekihara K., Hild K.E., Nagarajan S.S. A novel adaptive beamformer for meg source reconstruction effective when large background brain activities exist. IEEE Trans. Biomed. Eng. 2006, 53(9):1755-1764.
23. Taulu S., Simola J., Kajola M. Applications of the signal space separation method. IEEE Trans. Image Process. 2005, 53(9):3359-3372.
24. Veen B.V., Drongelen W.V., Yuchtman M., Suzuki A. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Trans. Biomed. Eng. 1997, 44(9):867-880.
25. Vrba J., Robinson S. Linearly constrained minimum variance beamformers, synthetic aperture magnetometry, and music in meg applications. Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on, 1:313-317 2000, vol. 1.
26. Wipf D., Nagarajan S. Beamforming using the relevance vector machine 2007, International Conference on Machine Learning, June.
27. Woolrich M., Behrens T., Smith S. Constrained linear basis sets for hrf modelling using variational bayes. Neuroimage 2004, 21(4):1748-1761.
28. Woolrich M.W., Jbabdi S., Patenaude B., Chappell M., Makni S., Behrens T., Beckmann C., Jenkinson M., Smith S.M. Bayesian analysis of neuroimaging data in fsl. Neuroimage 2009, 45(Suppl. 1):S173-S186.