Journal article

Coping with confounds in multivoxel pattern analysis: What should we do about reaction time differences? A comment on Todd, Nystrom & Cohen 2013

Alexandra Woolgar, Polina Golland, Stefan Bode

NEUROIMAGE | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2014

Abstract

Multivoxel pattern analysis (MVPA) is a sensitive and increasingly popular method for examining differences between neural activation patterns that cannot be detected using classical mass-univariate analysis. Recently, Todd et al. ("Confounds in multivariate pattern analysis: Theory and rule representation case study", 2013, NeuroImage 77: 157-165) highlighted a potential problem for these methods: high sensitivity to confounds at the level of individual participants due to the use of directionless summary statistics. Unlike traditional mass-univariate analyses where confounding activation differences in opposite directions tend to approximately average out at group level, group level MVPA r..

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Grants

Awarded by Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA)


Awarded by ARC Discovery


Awarded by NSF


Awarded by NIH NIBIB


Awarded by ARC Discovery Early Career Researcher Award (DECRA)


Awarded by NATIONAL CENTER FOR RESEARCH RESOURCES


Awarded by NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING


Funding Acknowledgements

AW was supported by an Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA, DE120100898) and by ARC Discovery Projects grant DP12102835. PG was supported by NSF IIS/CRCNS 0904625, NIH NIBIB NAMIC U54-EB005149, and NIH NIBIB NAC P41-EB015902. SB was supported by a University of Melbourne Early Career Researcher Grant, a Melbourne Neuroscience Institute (MNI) project grant, and an ARC Discovery Early Career Researcher Award (DECRA, DE140100350). We thank John Duncan, Mark Williams and Kiley Seymour for helpful comments on this article.