Classification of temporal ICA components for separating global noise from fMRI data: reply to power

Classification of temporal ICA components for separating global noise from fMRI data: reply to power

We respond to a critique of our temporal Independent Components Analysis (ICA) method for separating global noise from global signal in fMRI data that focuses on the signal versus noise classification of several components. While we agree with several of Power's comments, we provide evidence an...

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Bibliographic Details
Main Authors:	Glasser, MF, Coalson, TS, Bijsterbosch, JD, Harrison, SJ, Harms, MP, Anticevic, A, Van Essen, DC, Smith, SM
Format:	Journal article
Language:	English
Published:	Elsevier 2019

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