MEG and complex systems

Gareth R. Barnes, Michael I.G. Simpson, Arjan Hillebrand, Avgis Hadjipapas, Caroline Witton, Paul L. Furlong

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

Abstract

MEG beamformer algorithms work by making the assumption that correlated and spatially distinct local field potentials do not develop in the human brain. Despite this assumption, images produced by such algorithms concur with those from other non-invasive and invasive estimates of brain function. In this paper we set out to develop a method that could be applied to raw MEG data to explicitly test his assumption. We show that a promax rotation of MEG channel data can be used as an approximate estimator of the number of spatially distinct correlated sources in any frequency band.
Original languageEnglish
Title of host publicationComplex medical engineering
EditorsJing Long Wu, Koji Ito, Shozo Tobimatsu, Toyoaki Nishida, Hidenao Fukuyama
Place of PublicationTokyo (JP)
PublisherSpringer
Pages375-382
Number of pages8
ISBN (Electronic)978-4-431-30962-8
ISBN (Print)978-4-431-30961-1
DOIs
Publication statusPublished - 15 May 2007
Event1st International Conference on Complex Medical Engineering - Takamatsu , Japan
Duration: 15 May 200518 May 2005
http://biomecha.eng.kagawa-u.ac.jp/CME2005/

Conference

Conference1st International Conference on Complex Medical Engineering
Abbreviated titleCME2005
CountryJapan
CityTakamatsu
Period15/05/0518/05/05
Internet address

Fingerprint

Large scale systems
Brain
Frequency bands

Keywords

  • MEG
  • beamformer
  • promax
  • factor

Cite this

Barnes, G. R., Simpson, M. I. G., Hillebrand, A., Hadjipapas, A., Witton, C., & Furlong, P. L. (2007). MEG and complex systems. In J. Long Wu, K. Ito, S. Tobimatsu, T. Nishida, & H. Fukuyama (Eds.), Complex medical engineering (pp. 375-382). Tokyo (JP): Springer. https://doi.org/10.1007/978-4-431-30962-8_32
Barnes, Gareth R. ; Simpson, Michael I.G. ; Hillebrand, Arjan ; Hadjipapas, Avgis ; Witton, Caroline ; Furlong, Paul L. / MEG and complex systems. Complex medical engineering. editor / Jing Long Wu ; Koji Ito ; Shozo Tobimatsu ; Toyoaki Nishida ; Hidenao Fukuyama. Tokyo (JP) : Springer, 2007. pp. 375-382
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abstract = "MEG beamformer algorithms work by making the assumption that correlated and spatially distinct local field potentials do not develop in the human brain. Despite this assumption, images produced by such algorithms concur with those from other non-invasive and invasive estimates of brain function. In this paper we set out to develop a method that could be applied to raw MEG data to explicitly test his assumption. We show that a promax rotation of MEG channel data can be used as an approximate estimator of the number of spatially distinct correlated sources in any frequency band.",
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Barnes, GR, Simpson, MIG, Hillebrand, A, Hadjipapas, A, Witton, C & Furlong, PL 2007, MEG and complex systems. in J Long Wu, K Ito, S Tobimatsu, T Nishida & H Fukuyama (eds), Complex medical engineering. Springer, Tokyo (JP), pp. 375-382, 1st International Conference on Complex Medical Engineering, Takamatsu , Japan, 15/05/05. https://doi.org/10.1007/978-4-431-30962-8_32

MEG and complex systems. / Barnes, Gareth R.; Simpson, Michael I.G.; Hillebrand, Arjan; Hadjipapas, Avgis; Witton, Caroline; Furlong, Paul L.

Complex medical engineering. ed. / Jing Long Wu; Koji Ito; Shozo Tobimatsu; Toyoaki Nishida; Hidenao Fukuyama. Tokyo (JP) : Springer, 2007. p. 375-382.

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

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Barnes GR, Simpson MIG, Hillebrand A, Hadjipapas A, Witton C, Furlong PL. MEG and complex systems. In Long Wu J, Ito K, Tobimatsu S, Nishida T, Fukuyama H, editors, Complex medical engineering. Tokyo (JP): Springer. 2007. p. 375-382 https://doi.org/10.1007/978-4-431-30962-8_32