Modular preprocessing pipelines can reintroduce artifacts into fMRI data
Sign Up to like & getrecommendations! Published in 2019 at "Human Brain Mapping"
DOI: 10.1002/hbm.24528
Abstract: The preprocessing pipelines typically used in both task and resting‐state functional magnetic resonance imaging (rs‐fMRI) analysis are modular in nature: They are composed of a number of separate filtering/regression steps, including removal of head motion… read more here.
Keywords: fmri data; modular preprocessing; reintroduce artifacts; pipelines reintroduce ... See more keywords
The effect of preprocessing pipelines in subject classification and detection of abnormal resting state functional network connectivity using group ICA
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DOI: 10.1016/j.neuroimage.2016.03.038
Abstract: ABSTRACT Resting state functional network connectivity (rsFNC) derived from functional magnetic resonance (fMRI) imaging is emerging as a possible biomarker to identify several brain disorders. Recently it has been pointed out that methods used to… read more here.
Keywords: functional network; classification; group; resting state ... See more keywords