Beyond noise: using temporal ICA to extract meaningful information from high-frequency fMRI signal fluctuations during rest

Beyond noise: using temporal ICA to extract meaningful information from high-frequency fMRI signal fluctuations during rest

Analysis of resting-state networks using fMRI usually ignores high-frequencyfluctuations in the BOLD signal – be it because of low TR prohibiting the analysis offluctuations with frequencies higher than 0.25 Hz (for a typical TR of 2 s), or becauseof the application of a bandpass filter (commonly re...

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Bibliographic Details
Main Authors: Roland Norbert Boubela, Klaudius eKalcher, Wolfgang eHuf, Claudia eKronnerwetter, Peter eFilzmoser, Ewald eMoser
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-05-01
Series:Frontiers in Human Neuroscience
Subjects:
Heart rate variability
high-frequency oscillations
Resting-state fMRI
resting-state networks
temporal ICA
physiological signals
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00168/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00168/full

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