Findings from published research, checked in the open

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1,248 claims from 785 papers are on the record. 45 have been checked so far; the other 1,203 have no check with a result yet.

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Status: Unchecked ×Keyword: motion correction ×Clear all

6 claims from 5 papers

1. Neuroscience › Functional Brain Connectivity Studies

   Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

   Power, Barnes, Snyder, Schlaggar and Petersen · NeuroImage · 2011

   The paper shows that subject motion creates systematic, spurious patterns in resting-state fMRI connectivity, proposes data-quality indices and a motion-reduction method, and says earlier work may need revisiting.

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   1. UncheckedIn resting-state fMRI, subject motion lowers many long-distance brain correlations and raises many short-distance ones, even after standard corrections.“Specifically, many long-distance correlations are decreased by subject motion, whereas many short-distance correlations are increased.”
   2. UncheckedMotion-related changes in resting-state fMRI correlations are not produced by, nor adequately removed by, some common processing steps.“These changes in rs-fcMRI correlations do not arise from, nor are they adequately countered by, some common functional connectivity processing steps.”

2. Neuroscience › Functional Brain Connectivity Studies

   Conn : A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks

   Whitfield‐Gabrieli and Nieto-Castañón · Brain Connectivity · 2012

   The authors present Conn, a toolbox for analysing functional connectivity MRI data using CompCor noise correction, with examples of use and interscan reliability estimates for its measures.

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   1. UncheckedUnlike global signal regression, the CompCor noise-reduction method does not remove the global signal, so negative correlations between brain regions can be interpreted.“Compared to methods that rely on global signal regression, the CompCor noise reduction method allows for interpretation of anticorrelations as there is no regression of the global signal.”

3. 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.”

4. Neuroscience › Functional Brain Connectivity Studies

   Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth

   Satterthwaite, Wolf, Loughead et al. · NeuroImage · 2012

   In 456 children and adolescents, head motion during MRI scanning affected many kinds of resting-state connectivity measure, which matters for studies of brain development in youth.

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   1. UncheckedAge was linked to stronger within-network brain connectivity even after accounting for head motion, but motion control markedly weakened that link.“While subject age was associated with increased within-network connectivity even when motion was accounted for, controlling for motion substantially attenuated the strength of this relationship.”

5. Neuroscience › Functional Brain Connectivity Studies

   Mitigating head motion artifact in functional connectivity MRI

   Ćirić, Rosen, Erus et al. · Nature Protocols · 2018

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   1. Unchecked“This protocol can be used to reduce motion-related variance to near zero in studies of functional connectivity, providing up to a 100-fold improvement over minimal-processing approaches in large datasets.”