Methods to detect, characterize, and remove motion artifact in resting state fMRI-Reference-Cited by-同舟云学术

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

Published:2014-01 Issue: Volume:84 Page:320-341
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Power Jonathan D.,Mitra Anish,Laumann Timothy O.,Snyder Abraham Z.,Schlaggar Bradley L.,Petersen Steven E.

Funder

NIH

McDonnell Foundation Collaborative Action Award

Simons Foundation Award

Intellectual and Developmental Disabilities Research Center

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference37 articles.

1. Network anticorrelations, global regression, and phase-shifted soft tissue correction;Anderson;Hum. Brain Mapp.,2011

2. Removing motion and physiological artifacts from intrinsic BOLD fluctuations using short echo data;Bright;NeuroImage,2013

3. Optimizing the order of operations for movement scrubbing: comment on Power et al.;Carp;NeuroImage,2013

4. Time-frequency dynamics of resting-state brain connectivity measured with fMRI;Chang;NeuroImage,2010

5. A method to determine the necessity for global signal regression in resting-state fMRI studies;Chen;Magn. Reson. Med.,2012

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