A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series-Reference-Cited by-同舟云学术

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A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series

Published:2014-07 Issue: Volume:95 Page:287-304
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Patel Ameera X.,Kundu Prantik,Rubinov Mikail,Jones P. Simon,Vértes Petra E.,Ersche Karen D.,Suckling John,Bullmore Edward T.

Funder

Wellcome Trust Translational Medicine and Therapeutics Programme

University of Cambridge MB/PhD Programme

NIH-Cambridge PhD Programme

UK Medical Research Council

NARSAD Young Investigator

Isaac Newton Trust

Medical Research Council

Wellcome Trust

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference32 articles.

1. Fractal connectivity of long-memory networks;Achard;Phys. Rev. E Stat. Nonlinear Soft Matter Phys.,2008

2. Tensorial extensions of independent component analysis for multisubject fMRI analysis;Beckmann;NeuroImage,2005

3. Sources of fMRI signal fluctuations in the human brain at rest: a 7T study;Bianciardi;Magn. Reson. Imaging,2009

4. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI;Biswal;Magn. Reson. Med.,1995

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

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