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 language | English (US) |
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Pages (from-to) | 405-406 |
Number of pages | 2 |
Journal | Trends in Cognitive Sciences |
Volume | 21 |
Issue number | 6 |
DOIs | |
State | Published - 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