Decoding Brain States Based on Magnetoencephalography From Prespecified Cortical Regions.
Journal Article (Journal Article)
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.
Full Text
Duke Authors
Cited Authors
- Zhang, J; Li, X; Foldes, ST; Wang, W; Collinger, JL; Weber, DJ; Bagić, A
Published Date
- January 2016
Published In
Volume / Issue
- 63 / 1
Start / End Page
- 30 - 42
PubMed ID
- 26699648
Electronic International Standard Serial Number (EISSN)
- 1558-2531
International Standard Serial Number (ISSN)
- 0018-9294
Digital Object Identifier (DOI)
- 10.1109/tbme.2015.2439216
Language
- eng