The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG
Open accessAbstract
The synchronous brain activity measured via MEG (or EEG) can be interpreted as arising from a collection (possibly large) of current dipoles or sources located throughout the cortex. Estimating the number, location, and time course of these sources remains a challenging task, one that is significantly compounded by the effects of source correlations and unknown orientations and by the presence of interference from spontaneous brain activity, sensor noise, and other artifacts. This paper derives an empirical Bayesian method for addressing each of these issues in a principled fashion. The resulting algorithm guarantees descent of a cost function uniquely designed to handle unknown orientations and arbitrary correlations. Robust interference suppression is also easily incorporated. In a restricted setting, the proposed method is shown to produce theoretically zero reconstruction error estimating multiple dipoles even in the presence of strong correlations and unknown orientations, unlike a variety of existing Bayesian localization methods or common signal processing techniques such as beamforming and sLORETA. Empirical results on both simulated and real data sets verify the efficacy of this approach.
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Cites
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. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.048 · Cited by 589
Space–time event sparse penalization for magneto-/electroencephalography
Bolstad, A., Veen, B. V., & Nowak, R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.056 · Cited by 71
Cited by
Investigating the electrophysiological basis of resting state networks using magnetoencephalography
Brookes, M. J., Woolrich, M., Luckhoo, H., Price, D., Hale, J. R., Stephenson, M. C., Barnes, G. R., Smith, S. M., & Morris, P. G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112685108 · Cited by 938
Measuring functional connectivity using MEG: methodology and comparison with fcMRI
Brookes, M. J., Hale, J. R., Zumer, J. M., Stevenson, C. M., Francis, S. T., Barnes, G. R., Owen, J. P., Morris, P. G., & Nagarajan, S. S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.054 · Cited by 519
Self-citationIterative Reweighted $\ell_1$ and $\ell_2$ Methods for Finding Sparse Solutions
Wipf, D., & Nagarajan, S. (2010) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2010.2042413 · Cited by 448
Self-citationBrookes, M. J., Woolrich, M. W., & Barnes, G. R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.048 · Cited by 375
Electrophysiological source imaging: A noninvasive window to brain dynamics
He, B., Sohrabpour, A., Brown, E., & Liu, Z. (2018) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-120853 · Cited by 297
Metadata
- Authors
- Wipf, D. P., Owen, J. P., Attias, H. T., Sekihara, K., & Nagarajan, S. S.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 49
- Issue
- 1
- Pages
- 641-655
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2076776015
- Cited by
- 214
- References
- 2
- FWCI
- 6.70
- Type
- journal article
- Language
- en
- Open access
- green
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- Wipf, D. P., Owen, J. P., Attias, H. T., Sekihara, K., & Nagarajan, S. S. (2010). Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG. NeuroImage. https://doi.org/10.1016/j.neuroimage.2009.06.083
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