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Comment
. 2017 Jun;21(6):405-406.
doi: 10.1016/j.tics.2017.04.002. Epub 2017 Apr 28.

Mixed Signals: On Separating Brain Signal from Noise

Lucina Q Uddin  1
Affiliations
Comment

Mixed Signals: On Separating Brain Signal from Noise

Lucina Q Uddin. Trends Cogn Sci. 2017 Jun.

Abstract

Accurate description of human brain function requires the separation of true neural signal from noise. Recent work examining spatial and temporal properties of whole-brain fMRI signals demonstrates how artifacts from a variety of sources can persist after rigorous processing, and highlights the lack of consensus on how to address this challenge.

Keywords: artifact removal; functional connectivity; global signal regression; resting-state fMRI.

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  • On Global fMRI Signals and Simulations.
    Power JD, Laumann TO, Plitt M, Martin A, Petersen SE. Power JD, et al. Trends Cogn Sci. 2017 Dec;21(12):911-913. doi: 10.1016/j.tics.2017.09.002. Epub 2017 Sep 19. Trends Cogn Sci. 2017. PMID: 28939332 No abstract available.

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