The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique
Abstract
We have developed a method suitable for reconstructing spatio-temporal activities of neural sources by using magnetoencephalogram (MEG) data. The method extends the adaptive beamformer technique originally proposed by Borgiotti and Kaplan to incorporate the vector beamformer formulation in which a set of three weight vectors are used to detect the source activity in three orthogonal directions. The weight vectors of the vector-extended version of the Borgiotti-Kaplan beamformer are then projected onto the signal subspace of the measurement covariance matrix to obtain the final form of the proposed beamformer's weight vectors. Our numerical experiments show that both spatial resolution and output signal-to-noise ratio of the proposed beamformer are significantly higher than those of the minimum-variance-based vector beamformer used in previous investigations. We also applied the proposed beamformer to two sets of auditory-evoked MEG data, and the results clearly demonstrated the method's capability of reconstructing spatio-temporal activities of neural sources.
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Cited by
Modulation of the Auditory Cortex during Speech: An MEG Study
Houde, J. F., Nagarajan, S. S., Sekihara, K., & Merzenich, M. M. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902760807140 · Cited by 458
Self-citationHillebrand, A., Barnes, G. R., Bosboom, J. L., Berendse, H. W., & Stam, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.005 · Cited by 416
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
Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities
He, B., Yang, L., Wilke, C., & Yuan, H. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2139210 · Cited by 300
Salvadore, G., Cornwell, B. R., Colon-Rosario, V., Coppola, R., Grillon, C., Zarate, C. A., & Manji, H. K. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.08.014 · Cited by 277
Metadata
- Authors
- Sekihara, K., Nagarajan, S. S., Poeppel, D., Marantz, A., & Miyashita, Y.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2001-07
- Volume
- 48
- Issue
- 7
- Pages
- 760-771
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2106072070
- Cited by
- 373
- References
- 14
- FWCI
- 12.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sekihara, K., Nagarajan, S. S., Poeppel, D., Marantz, A., & Miyashita, Y. (2001). Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/10.930901
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