Meg source localization using a frequency beamformer

Elizabeth A. Thompson, Scott K. Holland, Jing Xiang, Yingying Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper introduces a source localization technique that exploits the high temporal resolution of neuronal magnetoencephalography (MEG) data to locate the originating sources within the head. A traditional frequency beamforming algorithm was adapted from its conventional application of providing frequency information to yield information on the spatial location of simulated neuronal signals. This novel technique incorporates actual MEG sensor locations of the closest sensors at each location in space. The approach is relatively simple to implement, yields good spatial resolution, and accurately spatially locates a simulated source in low signal-to-noise environments.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010
DOIs
Publication statusPublished - Jun 8 2010
Event36th Annual Northeast Bioengineering Conference, NEBEC 2010 - New York, NY, United States
Duration: Mar 26 2010Mar 28 2010

Publication series

NameProceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010

Other

Other36th Annual Northeast Bioengineering Conference, NEBEC 2010
CountryUnited States
CityNew York, NY
Period3/26/103/28/10

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ASJC Scopus subject areas

  • Bioengineering

Cite this

Thompson, E. A., Holland, S. K., Xiang, J., & Wang, Y. (2010). Meg source localization using a frequency beamformer. In Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010 [5458282] (Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010). https://doi.org/10.1109/NEBC.2010.5458282