title: Multi-session statistics on beamformed MEG data.
abstract: Beamforming has been widely adopted as a source reconstruction technique in the analysis of magnetoencephalography data. Most beamforming implementations incorporate a spatially-varying rescaling (which we term weights normalisation) to correct for the inherent depth bias in raw beamformer estimates. Here, we demonstrate that such rescaling can cause critical problems whenever analyses are performed over multiple sessions of separately beamformed data, for example when comparing effect sizes between different populations. Importantly, we show that the weights-normalised beamformer estimates of neural activity can even lead to a reversal in the inferred sign of the effect being measured. We instead recommend that no weights normalisation be carried out; any depth bias is instead accounted for in the calculation of multi-session (e.g. group) statistics. We demonstrate the severity of the weights normalisation confound with a 2-D simulation, and in real MEG data by performing a group statistical analysis to detect differences in alpha power in eyes-closed rest compared with continuous visual stimulation.
authors.affiliation: Oxford Centre for Human Brain Activity, University of Oxford, Warneford Hospital, Oxford, UK; Centre for Doctoral Training in Healthcare Innovation, Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK.
authors.forename: Henry T
authors.initials: HT
authors.lastname: Luckhoo
authors.affiliation: Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK.
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Brookes
authors.affiliation: Oxford Centre for Human Brain Activity, University of Oxford, Warneford Hospital, Oxford, UK; FMRIB Centre, University of Oxford, Oxford, UK. Electronic address: mark.woolrich@ohba.ox.ac.uk.
authors.forename: Mark W
authors.initials: MW
authors.lastname: Woolrich
mesh_terms: D000328:Adult; D000465:Algorithms; D001921:Brain / Q000502:physiology; D001931:Brain Mapping / Q000379:methods; D005260:Female; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods*; D008297:Male; D008959:Models, Neurological; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted
keywords: Beamforming; Group statistics; MEG; Source reconstruction