Automatic physiological waveform processing for FMRI noise correction and analysis.
Functional MRI resting state and connectivity studies of brain focus on neural fluctuations at low frequencies which share power with physiological fluctuations originating from lung and heart. Due to the lack of automated software to process physiological signals collected at high magnetic fields,...
Main Authors: | Daniel J Kelley, Terrence R Oakes, Larry L Greischar, Moo K Chung, John M Ollinger, Andrew L Alexander, Steven E Shelton, Ned H Kalin, Richard J Davidson |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2008-03-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC2268243?pdf=render |
Similar Items
-
Trait-like brain activity during adolescence predicts anxious temperament in primates.
by: Andrew S Fox, et al.
Published: (2008-07-01) -
Physiological noise in brainstem FMRI.
by: Brooks, J, et al.
Published: (2013) -
Physiological Noise in Brainstem fMRI
by: Jonathan Charles William Brooks, et al.
Published: (2013-10-01) -
Model-based physiological noise removal in fast fMRI
by: Agrawal, Uday, et al.
Published: (2021) -
Model-based physiological noise removal in fast fMRI
by: Uday Agrawal, et al.
Published: (2020-01-01)