Time Course Based Artifact Identification for Independent Components of Resting-State fMRI
نویسندگان
چکیده
منابع مشابه
Time Course Based Artifact Identification for Independent Components of Resting-State fMRI
In functional magnetic resonance imaging (fMRI) coherent oscillations of the blood oxygen level-dependent (BOLD) signal can be detected. These arise when brain regions respond to external stimuli or are activated by tasks. The same networks have been characterized during wakeful rest when functional connectivity of the human brain is organized in generic resting-state networks (RSN). Alteration...
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In the absence of an explicit task, temporal synchrony is maintained across brain regions. Taking advantage of this synchrony, resting-state fMRI has been used extensively to identify resting state networks (RSN) [1]. Fox et al. have reported that the default mode network (DMN) is anti-correlated with the task positive network (TPN) [2], reflecting the competing demands of these two networks. T...
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An enduring issue with data-driven analysis and filtering methods is the interpretation of results. To assist, we present an automatic method for identification of artifact in independent components (ICs) derived from functional MRI (fMRI). The method was designed with the following features: does not require temporal information about an fMRI paradigm; does not require the user to train the al...
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ژورنال
عنوان ژورنال: Frontiers in Human Neuroscience
سال: 2013
ISSN: 1662-5161
DOI: 10.3389/fnhum.2013.00214