Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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 Devi, Holliday, Ian E., Francis, Sue T. and Morris, Peter G. 2004. A general linear model for MEG beamformer imaging. Neuroimage 23 (3) , pp. 936-946. 10.1016/j.neuroimage.2004.06.031

Full text not available from this repository.

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).

Item Type: Article
Status: Published
Schools: Psychology
Neuroscience and Mental Health Research Institute (NMHRI)
Uncontrolled Keywords: MEG; Beamformer; Spatial filter; Cortical oscillatory power; Scintillating scotoma; ERD/ERS
ISSN: 1053-8119
Last Modified: 04 Jun 2017 04:10
URI: http://orca-mwe.cf.ac.uk/id/eprint/33911

Citation Data

Cited 39 times in Google Scholar. View in Google Scholar

Cited 39 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item