Task-related MEG source localization via discriminant analysis.

Published

Journal Article

To investigate the neural activity corresponding to different cognitive states, it is of great importance to localize the cortical areas that are associated with task-related modulation. In this paper, we propose a novel discriminant pattern source localization (DPSL) method to analyze MEG data. Unlike most traditional source localization methods that aim to find "dominant" sources, DPSL is developed to capture the "differential" sources that distinguish different cognitive states. As will be demonstrated by the experimental results in this paper, the proposed DPSL method offers superior accuracy to identify the spatial locations of task-related sources.

Full Text

Duke Authors

Cited Authors

  • Zhang, J; Sudre, G; Li, X; Wang, W; Weber, DJ; Bagic, A

Published Date

  • January 2011

Published In

  • Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference

Volume / Issue

  • 2011 /

Start / End Page

  • 2351 - 2354

PubMed ID

  • 22254813

Pubmed Central ID

  • 22254813

Electronic International Standard Serial Number (EISSN)

  • 2694-0604

International Standard Serial Number (ISSN)

  • 2375-7477

Digital Object Identifier (DOI)

  • 10.1109/iembs.2011.6090657

Language

  • eng