Mixed Signals: On Separating Brain Signal from Noise

Research output: Contribution to journalShort survey

18 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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