Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI
Radboud University Nijmegen · Radboud University Medical Center · +4 more institutions
Indexed incrossrefdoajpubmed
Abstract
No abstract available for this paper.
Citation impact
546
total citations
- FWCI
- 23.97
- Percentile
- 100%
- References
- 65
Citations per year
Authors
4- RPRaimon PruimCorresponding
Radboud University Nijmegen, Radboud University Medical Center
- MMMaarten Mennes
Radboud University Nijmegen, Radboud University Medical Center
- JKJan K. Buitelaar
Radboud University Nijmegen, Radboud University Medical Center, Dutch Expert Centre for Screening, Karakter
- CFChristian F. Beckmann
Radboud University Nijmegen, Radboud University Medical Center, University of Oxford, Wellcome Centre for Integrative Neuroimaging
Topics & keywords
Topics
Keywords
- Independent component analysis
- Artificial intelligence
- Resting state fMRI
- Computer science
- Pattern recognition (psychology)
- Artifact (error)
- Neuroscience
- Psychology
UN Sustainable Development Goals
- Peace, Justice and strong institutions
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