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) |
|---|---|
| Pages (from-to) | 405-406 |
| Number of pages | 2 |
| Journal | Trends in Cognitive Sciences |
| Volume | 21 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 1 2017 |
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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
Cite this
Mixed Signals : On Separating Brain Signal from Noise. / Uddin, Lucina Q.
In: Trends in Cognitive Sciences, Vol. 21, No. 6, 01.06.2017, p. 405-406.Research output: Contribution to journal › Short survey
}
TY - JOUR
T1 - Mixed Signals
T2 - On Separating Brain Signal from Noise
AU - Uddin, Lucina Q
PY - 2017/6/1
Y1 - 2017/6/1
N2 - 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.
AB - 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.
KW - artifact removal
KW - functional connectivity
KW - global signal regression
KW - resting-state fMRI
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UR - http://www.scopus.com/inward/citedby.url?scp=85018249367&partnerID=8YFLogxK
U2 - 10.1016/j.tics.2017.04.002
DO - 10.1016/j.tics.2017.04.002
M3 - Short survey
C2 - 28461113
AN - SCOPUS:85018249367
VL - 21
SP - 405
EP - 406
JO - Trends in Cognitive Sciences
JF - Trends in Cognitive Sciences
SN - 1364-6613
IS - 6
ER -