Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods

NeuroImage

Volumn 54, Issue 2, 2011, Pages 892-905

  Toda, Akihiro ^a,b,d   Imamizu, Hiroshi ^a,c   Kawato, Mitsuo ^a   Sato, Masa aki ^a  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^b NAGAOKA UNIVERSITY OF TECHNOLOGY   (Japan)

^c NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY   (Japan)

^d HONDA R AND D CO LTD   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADULT; ANALYTICAL ERROR; ARTICLE; BAYES THEOREM; BLINKING; COMPUTER INTERFACE; CONTROLLED STUDY; ELECTROOCULOGRAPHY; EYE MOVEMENT; HAND MOVEMENT; HUMAN; HUMAN EXPERIMENT; MAGNETOENCEPHALOGRAPHY; MALE; MOVEMENT PERCEPTION; NEUROSCIENCE; NON INVASIVE MEASUREMENT; NORMAL HUMAN; PARIETAL LOBE; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; SENSORIMOTOR CORTEX; SENSORIMOTOR FUNCTION; SIGNAL PROCESSING; TASK PERFORMANCE; VOLUNTEER;

ADULT; BAYES THEOREM; BRAIN; BRAIN MAPPING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MAGNETOENCEPHALOGRAPHY; MALE; MIDDLE AGED; MOVEMENT; SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 78649644394     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.09.057     Document Type: Article

References (34)

1. Akaike H. A new look at the statistical model identification. IEEE Transactions on Automatic Control AC-19 1974, 716-723.
2. Bradberry T.J., Rong F., Contreras-Vidal J.L. Decoding center-out hand velocity from MEG signals during visuomotor adaptation. Neuroimage 2009, 47:1691-1700.
3. Bradberry T.J., Gentili R.J., Contreras-Vidal J.L. Reconstructing three-dimensional hand movements from noninvasive electroencephalographic signals. J. Neurosci. 2010, 30:3432-3437.
4. Chao Z.C., Nagasaka Y., Fujii N. Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkeys. Front. Neuroengineering 2010, 3:3.
5. Cheyne D., Bakhtazad L., Gaetz W. Spatiotemporal mapping of cortical activity accompanying voluntary movements using an event-related beamforming approach. Hum. Brain Mapp. 2006, 27:213-229.
6. Cincotti F., Mattia D., Aloise F., Bufalari S., Astolfi L., De Vico Fallani F., Tocci A., Bianchi L., Marciani M.G., Gao S., Millan J., Babiloni F. High-resolution EEG techniques for brain-computer interface applications. J. Neurosci. Methods 2008, 167:31-42.
7. Culham J.C., Cavina-Pratesi C., Singhal A. The role of parietal cortex in visuomotor control: what have we learned from neuroimaging?. Neuropsychologia 2006, 44:2668-2684.
8. Field D.T., Wilkie R.M., Wann J.P. Neural systems in the visual control of steering. J. Neurosci. 2007, 27:8002-8010.
9. Fujiwara Y., Yamashita O., Kawawaki D., Doya K., Kawato M., Toyama K., Sato M.A. A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. Neuroimage 2009, 45:393-409.
10. Geman S., Bienenstock E., Doursat R. Neural networks and the bias/variance dilemma. Neural Comput. 1992, 4:1-58.
11. Georgopoulos A.P., Langheim F.J., Leuthold A.C., Merkle A.N. Magnetoencephalographic signals predict movement trajectory in space. Exp. Brain Res. 2005, 167:132-135.
12. Hammon P.S., Making S., Poizner H., Todorov E., de Sa V.R. Predicting reaching targets from human EEG. IEEE Signal Process Mag. 2007, 25:69-77.
13. Hochberg L.R., Serruya M.D., Friehs G.M., Mukand J.A., Saleh M., Caplan A.H., Branner A., Chen D., Penn R.D., Donoghue J.P. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 2006, 442:164-171.
14. Huang M.X., Harrington D.L., Paulson K.M., Weisend M.P., Lee R.R. Temporal dynamics of ipsilateral and contralateral motor activity during voluntary finger movement. Hum. Brain Mapp. 2004, 23:26-39.
15. Jerbi K., Lachaux J.P., N'Diaye K., Pantazis D., Leahy R.M., Garnero L., Baillet S. Coherent neural representation of hand speed in humans revealed by MEG imaging. Proc. Natl Acad. Sci. USA 2007, 104:7676-7681.
16. Kamitani Y., Tong F. Decoding the visual and subjective contents of the human brain. Nat. Neurosci. 2005, 8:679-685.
17. Krepki R., Blankertz B., Curio G., Müller K. The Berlin Brain-Computer Interface (BBCI) Towards a New Communication Channel for On-line Control in Gaming Applications. International Conference on Distributed Multimedia System (DMS'03) 2006.
18. Kunieda T., Ikeda A., Ohara S., Yazawa S., Nagamine T., Taki W., Hashimoto N., Shibasaki H. Different activation of presupplementary motor area, supplementary motor area proper, and primary sensorimotor area, depending on the movement repetition rate in humans. Exp. Brain Res. 2000, 135:163-172.
19. Maldjian J.A., Laurienti P.J., Kraft R.A., Burdette J.H. An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage 2003, 19:1233-1239.
20. Medendorp W.P., Goltz H.C., Crawford J.D., Vilis T. Integration of target and effector information in human posterior parietal cortex for the planning of action. J. Neurophysiol. 2005, 93:954-962.
21. Miyawaki Y., Uchida H., Yamashita O., Sato M.A., Morito Y., Tanabe H.C., Sadato N., Kamitani Y. Visual image reconstruction from human brain activity using a combination of multiscale local image decoders. Neuron 2008, 60:915-929.
22. Morishige K., Kawawaki D., Yoshioka T., Sato M.A., Kawato M. Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources. Lecture Notes in Computer Science: ICONIP 2008 2009, 335-342. Springer-Verlag, Berlin.
23. Musallam S., Corneil B.D., Greger B., Scherberger H., Andersen R.A. Cognitive control signals for neural prosthetics. Science 2004, 305:258-262.
24. Nambu I., Osu R., Sato M.A., Ando S., Kawato M., Naito E. Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS). Neuroimage 2009, 47:628-637.
25. Nicolelis M.A. Actions from thoughts. Nature 2001, 409:403-407.
26. Sato M.A. Online model selection based on the variational Bayes. Neural Comput. 2001, 13:1649-1681.
27. Sato M.A., Yoshioka T., Kajihara S., Toyama K., Goda N., Doya K., Kawato M. Hierarchical Bayesian estimation for MEG inverse problem. Neuroimage 2004, 23:806-826.
28. Taylor D.M., Tillery S.I., Schwartz A.B. Direct cortical control of 3D neuroprosthetic devices. Science 2002, 296:1829-1832.
29. Ting J.A., D'Souza A., Yamamoto K., Yoshioka T., Hoffman D.S., Kakei S., Sergio L.E., Kalaska J.F., Kawato M., Strick P.L., Schaal S. Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares. Advances in Neural Information Processing Systems 2005.
30. Ting J.A., D'Souza A., Yamamoto K., Yoshioka T., Hoffman D., Kakei S., Sergio L., Kalaska J., Kawato M., Strick P., Schaal S. Variational Bayesian least squares: an application to brain-machine interface data. Neural Netw. 2008, 21:1112-1131.
31. Tzourio-Mazoyer N., Landeau B., Papathanassiou D., Crivello F., Etard O., Delcroix N., Mazoyer B., Joliot M. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002, 15:273-289.
32. Waldert S., Preissl H., Demandt E., Braun C., Birbaumer N., Aertsen A., Mehring C. Hand movement direction decoded from MEG and EEG. J. Neurosci. 2008, 28:1000-1008.
33. Wolpaw J.R., McFarland D.J. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. Proc. Natl Acad. Sci. USA 2004, 101:17849-17854.
34. Yoshioka T., Toyama K., Kawato M., Yamashita O., Nishina S., Yamagishi N., Sato M.A. Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals. Neuroimage 2008, 42:1397-1413.