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A defense of using resting state fMRI as null data for estimating false positive rates

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Nichols, Thomas E., Eklund, Anders and Knutsson, Hans (2017) A defense of using resting state fMRI as null data for estimating false positive rates. Cognitive Neuroscience, 8 (3). pp. 144-149. doi:10.1080/17588928.2017.1287069 ISSN 1758-8928.

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Official URL: http://dx.doi.org/10.1080/17588928.2017.1287069

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Abstract

A recent Editorial by Slotnick (2017) reconsiders the findings of our paper on the accuracy of false positive rate control with cluster inference in fMRI (Eklund et al, 2016), in particular criticising our use of resting state fMRI data as a source for null data in the evaluation of task fMRI methods. We defend this use of resting fMRI data, as while there is much structure in this data, we argue it is representative of task data noise and as such analysis software should be able to accommodate this noise. We also discuss a potential problem with Slotnick’s own method.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Science > Statistics
Journal or Publication Title: Cognitive Neuroscience
Publisher: Routledge
ISSN: 1758-8928
Official Date: 22 February 2017
Dates:
DateEvent
22 February 2017Published
31 January 2017Available
20 January 2017Accepted
9 January 2017Submitted
Volume: 8
Number: 3
Page Range: pp. 144-149
DOI: 10.1080/17588928.2017.1287069
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 24 January 2017
Date of first compliant Open Access: 31 January 2018

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