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Times Cited: 900
Times Cited: 900
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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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
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The influence of head motion on intrinsic functional connectivity MRI.
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fMRIPrep: a robust preprocessing pipeline for functional MRI.
Oscar Esteban, Christopher J Markiewicz, Ross W Blair, Craig A Moodie, A Ilkay Isik, Asier Erramuzpe, James D Kent, Mathias Goncalves, Elizabeth DuPre, Madeleine Snyder,[...]. Nat Methods 2019
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Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth.
Theodore D Satterthwaite, Daniel H Wolf, James Loughead, Kosha Ruparel, Mark A Elliott, Hakon Hakonarson, Ruben C Gur, Raquel E Gur. Neuroimage 2012
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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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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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Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.
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The organization of the human cerebral cortex estimated by intrinsic functional connectivity.
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Towards a consensus regarding global signal regression for resting state functional connectivity MRI.
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N4ITK: improved N3 bias correction.
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Accurate and robust brain image alignment using boundary-based registration.
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The minimal preprocessing pipelines for the Human Connectome Project.
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The human brain is intrinsically organized into dynamic, anticorrelated functional networks.
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Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity.
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Mikail Rubinov, Olaf Sporns. Neuroimage 2010
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ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data.
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Jonathan D Power, Bradley L Schlaggar, Steven E Petersen. Neuroimage 2015
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Advances in functional and structural MR image analysis and implementation as FSL.
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Methods for cleaning the BOLD fMRI signal.
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Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI.
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Anticorrelations in resting state networks without global signal regression.
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DPARSF: A MATLAB Toolbox for "Pipeline" Data Analysis of Resting-State fMRI.
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Functional connectivity in the resting brain: a network analysis of the default mode hypothesis.
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A reproducible evaluation of ANTs similarity metric performance in brain image registration.
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Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation.
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.