Research Article  A Peak-Clustering Method for MEG Group
Analysis to Minimise Artefacts Due to Smoothness    • Jessica R.
Gilbert mail, (JRG); (LRS)      Affiliation: School of Life and
Health Sciences, Aston University, Birmingham, United Kingdom
• Laura R. Shapiro mail, (JRG); (LRS)     • Gareth R. Barnes
Affiliation: The Wellcome Trust Centre for Neuroimaging,
University College London, London, United Kingdom    •
Published: September 14, 2012   • DOI:
10.1371/journal.pone.0045084   Magnetoencephalography (MEG), a
non-invasive technique for characterizing brain electrical
activity, is gaining popularity as a tool for assessing group-
level differences between experimental conditions. One method
for assessing task-condition effects involves beamforming, where
a weighted sum of field measurements is used to tune activity on
a voxel-by-voxel basis. However, this method has been shown to
produce inhomogeneous smoothness differences as a function of
signal-to-noise across a volumetric image, which can th