Impact of automated ICA-based denoising of fMRI data in acute stroke patients-Reference-Cited by-同舟云学术

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Impact of automated ICA-based denoising of fMRI data in acute stroke patients

Published:2017 Issue: Volume:16 Page:23-31
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Carone D.,Licenik R.,Suri S.,Griffanti L.,Filippini N.,Kennedy J.

Funder

National Institute for Health Research Oxford Biomedical Research Centre Programme

National Institute for Health Research Clinical Research Network

Dunhill Medical Trust

Wellcome Trust

Engineering and Physical Sciences Research Council

Parkinson's UK

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging

Reference44 articles.

1. Transhemispheric diaschisis. A review and comment;Andrews;Stroke,1991

2. Group Comparison of Resting-state FMRI Data Using Multi-subject ICA and Dual Regression;Beckmann,2009

3. Probabilistic independent component analysis for functional magnetic resonance imaging;Beckmann;IEEE Trans. Med. Imaging,2004

4. An automated method for identifying artifact in independent component analysis of resting-state FMRI;Bhaganagarapu;Front. Hum. Neurosci.,2013

5. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI;Birn;NeuroImage,2006

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