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 Citations (Scopus)

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
StatePublished - 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

Fingerprint

Magnetoencephalography
Sensors
Beamforming

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

Meg source localization using a frequency beamformer. / Thompson, Elizabeth A.; Holland, Scott K.; Xiang, Jing; Wang, Yingying.

Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010. 2010. 5458282 (Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010).

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

Thompson, EA, Holland, SK, 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, 36th Annual Northeast Bioengineering Conference, NEBEC 2010, New York, NY, United States, 3/26/10. https://doi.org/10.1109/NEBC.2010.5458282
Thompson EA, Holland SK, Xiang J, Wang Y. Meg source localization using a frequency beamformer. In Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010. 2010. 5458282. (Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010). https://doi.org/10.1109/NEBC.2010.5458282
Thompson, Elizabeth A. ; Holland, Scott K. ; Xiang, Jing ; Wang, Yingying. / Meg source localization using a frequency beamformer. Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010. 2010. (Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010).
@inproceedings{fd400db7efc74ffa9777bb8c49c0d679,
title = "Meg source localization using a frequency beamformer",
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.",
author = "Thompson, {Elizabeth A.} and Holland, {Scott K.} and Jing Xiang and Yingying Wang",
year = "2010",
month = "6",
day = "8",
doi = "10.1109/NEBC.2010.5458282",
language = "English (US)",
isbn = "9781424468799",
series = "Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010",
booktitle = "Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010",

}

TY - GEN

T1 - Meg source localization using a frequency beamformer

AU - Thompson, Elizabeth A.

AU - Holland, Scott K.

AU - Xiang, Jing

AU - Wang, Yingying

PY - 2010/6/8

Y1 - 2010/6/8

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77953044840&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953044840&partnerID=8YFLogxK

U2 - 10.1109/NEBC.2010.5458282

DO - 10.1109/NEBC.2010.5458282

M3 - Conference contribution

AN - SCOPUS:77953044840

SN - 9781424468799

T3 - Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010

BT - Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010

ER -