Commonalities and Differences among Vectorized Beamformers in Electromagnetic Source Imaging

Ming Xiong Huang, J. J. Shih, R. R. Lee, D. L. Harrington, R. J. Thoma, M. P. Weisend, F. Hanlon, K. M. Paulson, T. Li, K. Martin, G. A. Miller, J. M. Canive

Research output: Contribution to journalArticle

108 Scopus citations

Abstract

A number of beamformers have been introduced to localize neuronal activity using magnetoencephalography (MEG) and electroencephalography (EEG). However, currently available information about the major aspects of existing beamformers is incomplete. In the present study, detailed analyses are performed to study the commonalities and differences among vectorized versions of existing beamformers in both theory and practice. In addition, a novel beamformer based on higher-order covariance analysis is introduced. Theoretical formulas are provided on all major aspects of each beamformer; to examine their performance, computer simulations with different levels of correlation and signal-to-noise ratio are studied. Then, an empirical data set of human MEG median-nerve responses with a large number of neuronal generators is analyzed using the different beamformers. The results show substantial differences among existing MEG/EEG beamformers in their ways of describing the spatial map of neuronal activity. Differences in performance are observed among existing beamformers in terms of their spatial resolution, false-positive background activity, and robustness to highly correlated signals. Superior performance is obtained using our novel beamformer with higher-order covariance analysis in simulated data. Excellent agreement is also found between the results of our beamformer and the known neurophysiology of the median-nerve MEG response.

Original languageEnglish (US)
Pages (from-to)139-158
Number of pages20
JournalBrain Topography
Volume16
Issue number3
DOIs
StatePublished - Mar 1 2004

Keywords

  • Beamformer
  • Dipole
  • Inverse problem
  • MEG
  • Median nerve
  • Somatosensory

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

Fingerprint Dive into the research topics of 'Commonalities and Differences among Vectorized Beamformers in Electromagnetic Source Imaging'. Together they form a unique fingerprint.

  • Cite this

    Huang, M. X., Shih, J. J., Lee, R. R., Harrington, D. L., Thoma, R. J., Weisend, M. P., Hanlon, F., Paulson, K. M., Li, T., Martin, K., Miller, G. A., & Canive, J. M. (2004). Commonalities and Differences among Vectorized Beamformers in Electromagnetic Source Imaging. Brain Topography, 16(3), 139-158. https://doi.org/10.1023/B:BRAT.0000019183.92439.51