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Mixed Signals: On Separating Brain Signal from Noise
Journal article   Open access  Peer reviewed

Mixed Signals: On Separating Brain Signal from Noise

Lucina Q Uddin
Trends in cognitive sciences, Vol.21(6), pp.405-406
2017-06
PMCID: PMC6033047
PMID: 28461113

Abstract

functional connectivity resting-state fMRI global signal regression artifact removal
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.
url
https://doi.org/10.1016/j.tics.2017.04.002View
Published (Version of record) Open

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Citation topics
1 Clinical & Life Sciences
1.7 Neuroscanning
1.7.720 Functional Connectivity
Web Of Science research areas
Behavioral Sciences
Neurosciences
Psychology, Experimental
ESI research areas
Psychiatry/Psychology

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#3 Good Health and Well-Being

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