A general linear model for MEG beamformer imaging

Matthew J. Brookes, Andrew M. Gibson, Stephen D. Hall, Paul L. Furlong, Gareth R. Barnes, Arjan Hillebrand, Krish D. Singh, Ian E. Holliday, Sue T. Francis, Peter G. Morris

Research output: Contribution to journalArticle

Abstract

A new general linear model (GLM) beamformer method is described for processing magnetoencephalography (MEG) data. A standard nonlinear beamformer is used to determine the time course of neuronal activation for each point in a predefined source space. A Hilbert transform gives the envelope of oscillatory activity at each location in any chosen frequency band (not necessary in the case of sustained (DC) fields), enabling the general linear model to be applied and a volumetric T statistic image to be determined. The new method is illustrated by a two-source simulation (sustained field and 20 Hz) and is shown to provide accurate localization. The method is also shown to locate accurately the increasing and decreasing gamma activities to the temporal and frontal lobes, respectively, in the case of a scintillating scotoma. The new method brings the advantages of the general linear model to the analysis of MEG data and should prove useful for the localization of changing patterns of activity across all frequency ranges including DC (sustained fields). © 2004 Elsevier Inc. All rights reserved.

Original languageEnglish
Pages (from-to)936-946
Number of pages11
JournalNeuroimage
Volume23
Issue number3
DOIs
Publication statusPublished - Nov 2004

Fingerprint

Magnetoencephalography
Linear Models
Scotoma
Frontal Lobe
Temporal Lobe

Keywords

  • beamformer
  • cortical oscillatory power
  • ERD/ERS
  • general linear model
  • MEG
  • scintillating scotoma
  • spatial filter

Cite this

Brookes, M. J., Gibson, A. M., Hall, S. D., Furlong, P. L., Barnes, G. R., Hillebrand, A., ... Morris, P. G. (2004). A general linear model for MEG beamformer imaging. Neuroimage, 23(3), 936-946. https://doi.org/10.1016/j.neuroimage.2004.06.031
Brookes, Matthew J. ; Gibson, Andrew M. ; Hall, Stephen D. ; Furlong, Paul L. ; Barnes, Gareth R. ; Hillebrand, Arjan ; Singh, Krish D. ; Holliday, Ian E. ; Francis, Sue T. ; Morris, Peter G. / A general linear model for MEG beamformer imaging. In: Neuroimage. 2004 ; Vol. 23, No. 3. pp. 936-946.
@article{0abaf6f5cb944e2b89b7a11bebc77cd7,
title = "A general linear model for MEG beamformer imaging",
abstract = "A new general linear model (GLM) beamformer method is described for processing magnetoencephalography (MEG) data. A standard nonlinear beamformer is used to determine the time course of neuronal activation for each point in a predefined source space. A Hilbert transform gives the envelope of oscillatory activity at each location in any chosen frequency band (not necessary in the case of sustained (DC) fields), enabling the general linear model to be applied and a volumetric T statistic image to be determined. The new method is illustrated by a two-source simulation (sustained field and 20 Hz) and is shown to provide accurate localization. The method is also shown to locate accurately the increasing and decreasing gamma activities to the temporal and frontal lobes, respectively, in the case of a scintillating scotoma. The new method brings the advantages of the general linear model to the analysis of MEG data and should prove useful for the localization of changing patterns of activity across all frequency ranges including DC (sustained fields). {\circledC} 2004 Elsevier Inc. All rights reserved.",
keywords = "beamformer, cortical oscillatory power, ERD/ERS, general linear model, MEG, scintillating scotoma, spatial filter",
author = "Brookes, {Matthew J.} and Gibson, {Andrew M.} and Hall, {Stephen D.} and Furlong, {Paul L.} and Barnes, {Gareth R.} and Arjan Hillebrand and Singh, {Krish D.} and Holliday, {Ian E.} and Francis, {Sue T.} and Morris, {Peter G.}",
year = "2004",
month = "11",
doi = "10.1016/j.neuroimage.2004.06.031",
language = "English",
volume = "23",
pages = "936--946",
journal = "Neuroimage",
issn = "1053-8119",
publisher = "Elsevier",
number = "3",

}

Brookes, MJ, Gibson, AM, Hall, SD, Furlong, PL, Barnes, GR, Hillebrand, A, Singh, KD, Holliday, IE, Francis, ST & Morris, PG 2004, 'A general linear model for MEG beamformer imaging', Neuroimage, vol. 23, no. 3, pp. 936-946. https://doi.org/10.1016/j.neuroimage.2004.06.031

A general linear model for MEG beamformer imaging. / Brookes, Matthew J.; Gibson, Andrew M.; Hall, Stephen D.; Furlong, Paul L.; Barnes, Gareth R.; Hillebrand, Arjan; Singh, Krish D.; Holliday, Ian E.; Francis, Sue T.; Morris, Peter G.

In: Neuroimage, Vol. 23, No. 3, 11.2004, p. 936-946.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A general linear model for MEG beamformer imaging

AU - Brookes, Matthew J.

AU - Gibson, Andrew M.

AU - Hall, Stephen D.

AU - Furlong, Paul L.

AU - Barnes, Gareth R.

AU - Hillebrand, Arjan

AU - Singh, Krish D.

AU - Holliday, Ian E.

AU - Francis, Sue T.

AU - Morris, Peter G.

PY - 2004/11

Y1 - 2004/11

N2 - A new general linear model (GLM) beamformer method is described for processing magnetoencephalography (MEG) data. A standard nonlinear beamformer is used to determine the time course of neuronal activation for each point in a predefined source space. A Hilbert transform gives the envelope of oscillatory activity at each location in any chosen frequency band (not necessary in the case of sustained (DC) fields), enabling the general linear model to be applied and a volumetric T statistic image to be determined. The new method is illustrated by a two-source simulation (sustained field and 20 Hz) and is shown to provide accurate localization. The method is also shown to locate accurately the increasing and decreasing gamma activities to the temporal and frontal lobes, respectively, in the case of a scintillating scotoma. The new method brings the advantages of the general linear model to the analysis of MEG data and should prove useful for the localization of changing patterns of activity across all frequency ranges including DC (sustained fields). © 2004 Elsevier Inc. All rights reserved.

AB - A new general linear model (GLM) beamformer method is described for processing magnetoencephalography (MEG) data. A standard nonlinear beamformer is used to determine the time course of neuronal activation for each point in a predefined source space. A Hilbert transform gives the envelope of oscillatory activity at each location in any chosen frequency band (not necessary in the case of sustained (DC) fields), enabling the general linear model to be applied and a volumetric T statistic image to be determined. The new method is illustrated by a two-source simulation (sustained field and 20 Hz) and is shown to provide accurate localization. The method is also shown to locate accurately the increasing and decreasing gamma activities to the temporal and frontal lobes, respectively, in the case of a scintillating scotoma. The new method brings the advantages of the general linear model to the analysis of MEG data and should prove useful for the localization of changing patterns of activity across all frequency ranges including DC (sustained fields). © 2004 Elsevier Inc. All rights reserved.

KW - beamformer

KW - cortical oscillatory power

KW - ERD/ERS

KW - general linear model

KW - MEG

KW - scintillating scotoma

KW - spatial filter

UR - http://www.scopus.com/inward/record.url?scp=7444244402&partnerID=8YFLogxK

UR - https://www.sciencedirect.com/science/article/pii/S1053811904003428?via%3Dihub

U2 - 10.1016/j.neuroimage.2004.06.031

DO - 10.1016/j.neuroimage.2004.06.031

M3 - Article

C2 - 15528094

VL - 23

SP - 936

EP - 946

JO - Neuroimage

JF - Neuroimage

SN - 1053-8119

IS - 3

ER -

Brookes MJ, Gibson AM, Hall SD, Furlong PL, Barnes GR, Hillebrand A et al. A general linear model for MEG beamformer imaging. Neuroimage. 2004 Nov;23(3):936-946. https://doi.org/10.1016/j.neuroimage.2004.06.031