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Journal article

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 ...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MSD, Psychiatry
Role:
Author
Journal:
NeuroImage
Volume:
95
Pages:
330-335
Publication date:
2014-07-05
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
URN:
uuid:47bc6a93-49a6-4c77-80ae-1787b8a34261
Source identifiers:
446866
Local pid:
pubs:446866

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