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Times Cited: 1669
Times Cited: 1669
Times Cited
Times Co-cited
Similarity
Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion.
Jonathan D Power, Kelly A Barnes, Abraham Z Snyder, Bradley L Schlaggar, Steven E Petersen. Neuroimage 2012
Jonathan D Power, Kelly A Barnes, Abraham Z Snyder, Bradley L Schlaggar, Steven E Petersen. Neuroimage 2012
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Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth.
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Methods to detect, characterize, and remove motion artifact in resting state fMRI.
Jonathan D Power, Anish Mitra, Timothy O Laumann, Abraham Z Snyder, Bradley L Schlaggar, Steven E Petersen. Neuroimage 2014
Jonathan D Power, Anish Mitra, Timothy O Laumann, Abraham Z Snyder, Bradley L Schlaggar, Steven E Petersen. Neuroimage 2014
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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.
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An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI.
Linden Parkes, Ben Fulcher, Murat Yücel, Alex Fornito. Neuroimage 2018
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Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.
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A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics.
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ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data.
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The human brain is intrinsically organized into dynamic, anticorrelated functional networks.
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Real-time motion analytics during brain MRI improve data quality and reduce costs.
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Reduction of motion-related artifacts in resting state fMRI using aCompCor.
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Recent progress and outstanding issues in motion correction in resting state fMRI.
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Complex network measures of brain connectivity: uses and interpretations.
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AFNI: software for analysis and visualization of functional magnetic resonance neuroimages.
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Toward discovery science of human brain function.
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Correction of respiratory artifacts in MRI head motion estimates.
Damien A Fair, Oscar Miranda-Dominguez, Abraham Z Snyder, Anders Perrone, Eric A Earl, Andrew N Van, Jonathan M Koller, Eric Feczko, M Dylan Tisdall, Andre van der Kouwe,[...]. Neuroimage 2020
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The minimal preprocessing pipelines for the Human Connectome Project.
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fMRIPrep: a robust preprocessing pipeline for functional MRI.
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Head motion during MRI acquisition reduces gray matter volume and thickness estimates.
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