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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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Publisher:
Academic Press Inc.
Journal:
NeuroImage
Volume:
95
Pages:
330-335
Publication date:
2014-07-15
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
URN:
uuid:9d3be0af-319f-44bf-98da-dc45f838b9d1
Source identifiers:
470149
Local pid:
pubs:470149

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