Mixed Signals: On Separating Brain Signal from Noise

Research output: Contribution to journalShort surveypeer-review

20 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)405-406
Number of pages2
JournalTrends in Cognitive Sciences
Volume21
Issue number6
DOIs
StatePublished - Jun 2017

Keywords

  • artifact removal
  • functional connectivity
  • global signal regression
  • resting-state fMRI

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience

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