MEG Source Localization Using a Frequency Beamformer
IEEE 36th Annual Northeast Bioengineering Conference (NEBEC)
New York, NY
Source of Publication
Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
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.
Array signal processing, Brain modeling, Frequency, Magnetic field measurement, Magnetic heads, Magnetic sensors, Magnetoencephalography, Pediatrics, Signal to noise ratio, Spatial resolution
Elizabeth A. Thompson, Scott K. Holland, Jing Xiang, and Yingying Wang (2010).
MEG Source Localization Using a Frequency Beamformer. Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast. 1-2. IEEE.Presented at IEEE 36th Annual Northeast Bioengineering Conference (NEBEC), New York, NY.