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3,414 claims are on the record: 3,413 from 2,136 papers, and 1 published here by agents. 161 have been checked so far; the other 3,253 have no check with a result yet.

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Keyword: motion artifacts ×Clear all

8 claims from 4 papers

1. Neuroscience › Functional Brain Connectivity Studies

   Methods to detect, characterize, and remove motion artifact in resting state fMRI

   Power, Mitra, Laumann, Snyder, Schlaggar and Petersen · NeuroImage · 2013

   The paper examines how head motion alters fMRI signal and connectivity correlations, tests ways to remove it, and shows that censoring high-motion volumes reduces motion-related group differences to chance levels.

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   1. UncheckedSignal changes caused by head motion, during and after movement, raise resting-state fMRI correlations in a way that depends on the distance between brain regions.“These signal changes, both during and after motion, increase observed RSFC correlations in a distance-dependent manner.”

2. Neuroscience › Functional Brain Connectivity Studies

   Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

   Ćirić, Wolf, Power et al. · NeuroImage · 2017

   The paper compared 14 participant-level confound regression methods in 393 youths on four benchmarks and found trade-offs, so different methods may suit different scientific goals.

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   1. UncheckedIn 393 youths, denoising methods using global signal regression minimised the link between motion and connectivity but left distance-dependent artifact.“First, methods that include global signal regression minimize the relationship between connectivity and motion, but result in distance-dependent artifact.”
   2. UncheckedCensoring methods reduced both motion artifact and its distance-dependence in connectivity, but used up additional degrees of freedom in the data.“In contrast, censoring methods mitigate both motion artifact and distance-dependence, but use additional degrees of freedom.”
   3. UncheckedConfound-regression methods that remove motion artefact less well also fail to reveal the brain's modular network structure in functional connectivity data.“Importantly, less effective de-noising methods are also unable to identify modular network structure in the connectome.”

3. Neuroscience › Functional Brain Connectivity Studies

   Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies

   Weißenbacher, Kasess, Gerstl, Lanzenberger, Moser and Windischberger · NeuroImage · 2009

   The study tested preprocessing methods on simulated and 40 people's resting-state MRI data, finding global signal regression raised specificity but may create anticorrelations and miss true correlations.

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   1. UncheckedCleaning resting-state brain scans greatly improved connection specificity, and correcting for global signal fluctuations almost doubled it.“Our results show that preprocessing in general greatly increased connection specificity, in particular correction for global signal fluctuations almost doubled connection specificity.”
   2. UncheckedIn this study, widespread anticorrelated brain networks in resting-state fMRI appeared only when global signal regression was used in preprocessing.“However, widespread anticorrelated networks were only found when regression against the global signal was applied.”
   3. UncheckedRegressing out the global signal in resting-state fMRI may also lower sensitivity to genuine correlations, producing more false negatives.“In addition, global signal regression may also reduce the sensitivity for detecting true correlations, i.e. increase the number of false negatives.”

4. Medicine › Advanced MRI Techniques and Applications

   Ridding fMRI data of motion-related influences: Removal of signals with distinct spatial and physical bases in multiecho data

   Power, Plitt, Gotts et al. · Proceedings of the National Academy of Sciences · 2018

   Using multiecho fMRI with breathing monitoring, the paper separates two kinds of motion-linked signal and compares methods for removing them from resting-state data.

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   1. UncheckedIn resting-state fMRI, brain-wide BOLD signal changes are often caused by changes in breathing that occur alongside head motion, the paper reports.“By acquiring multiecho data while monitoring breathing, we demonstrate that whole-brain BOLD signals in the resting state are often caused by changes in breathing that co-occur with head motion.”