Decoding Brain States Based on Magnetoencephalography From Prespecified Cortical Regions.
Publication
, Journal Article
Zhang, J; Li, X; Foldes, ST; Wang, W; Collinger, JL; Weber, DJ; Bagić, A
Published in: IEEE transactions on bio-medical engineering
January 2016
Brain state decoding based on whole-head MEG has been extensively studied over the past decade. Recent MEG applications pose an emerging need of decoding brain states based on MEG signals originating from prespecified cortical regions. Toward this goal, we propose a novel region-of-interest-constrained discriminant analysis algorithm (RDA) in this paper. RDA integrates linear classification and beamspace transformation into a unified framework by formulating a constrained optimization problem. Our experimental results based on human subjects demonstrate that RDA can efficiently extract the discriminant pattern from prespecified cortical regions to accurately distinguish different brain states.
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Published In
IEEE transactions on bio-medical engineering
DOI
EISSN
1558-2531
ISSN
0018-9294
Publication Date
January 2016
Volume
63
Issue
1
Start / End Page
30 / 42
Related Subject Headings
- Signal Processing, Computer-Assisted
- Magnetoencephalography
- Humans
- Discriminant Analysis
- Computer Simulation
- Cerebral Cortex
- Biomedical Engineering
- Algorithms
- 4603 Computer vision and multimedia computation
- 4009 Electronics, sensors and digital hardware
Citation
APA
Chicago
ICMJE
MLA
NLM
Zhang, J., Li, X., Foldes, S. T., Wang, W., Collinger, J. L., Weber, D. J., & Bagić, A. (2016). Decoding Brain States Based on Magnetoencephalography From Prespecified Cortical Regions. IEEE Transactions on Bio-Medical Engineering, 63(1), 30–42. https://doi.org/10.1109/tbme.2015.2439216
Zhang, Jinyin, Xin Li, Stephen T. Foldes, Wei Wang, Jennifer L. Collinger, Douglas J. Weber, and Anto Bagić. “Decoding Brain States Based on Magnetoencephalography From Prespecified Cortical Regions.” IEEE Transactions on Bio-Medical Engineering 63, no. 1 (January 2016): 30–42. https://doi.org/10.1109/tbme.2015.2439216.
Zhang J, Li X, Foldes ST, Wang W, Collinger JL, Weber DJ, et al. Decoding Brain States Based on Magnetoencephalography From Prespecified Cortical Regions. IEEE transactions on bio-medical engineering. 2016 Jan;63(1):30–42.
Zhang, Jinyin, et al. “Decoding Brain States Based on Magnetoencephalography From Prespecified Cortical Regions.” IEEE Transactions on Bio-Medical Engineering, vol. 63, no. 1, Jan. 2016, pp. 30–42. Epmc, doi:10.1109/tbme.2015.2439216.
Zhang J, Li X, Foldes ST, Wang W, Collinger JL, Weber DJ, Bagić A. Decoding Brain States Based on Magnetoencephalography From Prespecified Cortical Regions. IEEE transactions on bio-medical engineering. 2016 Jan;63(1):30–42.
Published In
IEEE transactions on bio-medical engineering
DOI
EISSN
1558-2531
ISSN
0018-9294
Publication Date
January 2016
Volume
63
Issue
1
Start / End Page
30 / 42
Related Subject Headings
- Signal Processing, Computer-Assisted
- Magnetoencephalography
- Humans
- Discriminant Analysis
- Computer Simulation
- Cerebral Cortex
- Biomedical Engineering
- Algorithms
- 4603 Computer vision and multimedia computation
- 4009 Electronics, sensors and digital hardware