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Status: Unchecked ×Keyword: motion artifact removal ×Clear all

2 claims from 1 paper

1. Medicine › Advanced MRI Techniques and Applications

   ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data

   Pruim, Mennes, van Rooij, Llera, Buitelaar and Beckmann · NeuroImage · 2015

   The paper proposes ICA-AROMA, an automatic method using four features to remove head-motion artefacts from fMRI data without classifier re-training, and reports an initial validation.

   Unchecked2 claims
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   1. UncheckedICA-AROMA removed motion-related noise from resting-state and task fMRI data more than regressing out 24 motion parameters or spike regression did.“Our approach removed (motion-related) spurious noise from both rfMRI and task-based fMRI data to larger extent than regression using 24 motion parameters or spike regression.”
   2. UncheckedIn the authors' validation, ICA-AROMA, a motion-cleaning method for fMRI, increased sensitivity to group-level brain activation.“Furthermore, ICA-AROMA increased sensitivity to group-level activation.”