articleTop 1% cited
Methods to detect, characterize, and remove motion artifact in resting state fMRI
NeuroImage · 2013 · Vol. 84 · pp. 320–341
Jonathan D. Power✉(Washington University in St. Louis)Anish Mitra(Washington University in St. Louis)Timothy O. Laumann(Washington University in St. Louis)Abraham Z. Snyder(Washington University in St. Louis)Bradley L. Schlaggar(Washington University in St. Louis)Steven E. Petersen(Washington University in St. Louis)
Functional Brain Connectivity StudiesNeural dynamics and brain functionAdvanced MRI Techniques and ApplicationsArtifact (error)Resting state fMRICensoring (clinical trials)VoxelSIGNAL (programming language)Artificial intelligenceMotion (physics)Computer scienceHuman Connectome ProjectPattern recognition (psychology)
MeSH terms
AdolescentAdultAlgorithmsBrainBrain MappingFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMotionPattern Recognition, AutomatedRestSensitivity and Specificity
Funding
- Intellectual and Developmental Disabilities Research Center
Citations
4,007
FWCI
53.35
field-weighted impact
References
39
Percentile
100%
vs. same field & year
Citations per year
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References
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An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data
NeuroImage · 2012 · 2,015 citations
Time–frequency dynamics of resting-state brain connectivity measured with fMRI
NeuroImage · 2009 · 1,887 citations
The organization of the human cerebellum estimated by intrinsic functional connectivity
Journal of Neurophysiology · 2011 · 7,838 citations
Correspondence of the brain's functional architecture during activation and rest
Proceedings of the National Academy of Sciences · 2009 · 5,389 citations
Functional Network Organization of the Human Brain
Neuron · 2011 · 4,368 citations
Resting-state fMRI in the Human Connectome Project
NeuroImage · 2013 · 1,693 citations
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