An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI
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Title
An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI
Authors
Keywords
Preprocessing, Functional magnetic resonance imaging, Optimization, Decision making, Reproducibility, Research validity, Attention, Vigilance (psychology)
Journal
PLoS One
Volume 10, Issue 7, Pages e0131520
Publisher
Public Library of Science (PLoS)
Online
2015-07-11
DOI
10.1371/journal.pone.0131520
References
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Note: Only part of the references are listed.- Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
- (2014) Gholamreza Salimi-Khorshidi et al. NEUROIMAGE
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- (2013) Nathan W. Churchill et al. NEUROIMAGE
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- (2013) Chi Wah Wong et al. NEUROIMAGE
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- (2012) Theodore D. Satterthwaite et al. NEUROIMAGE
- Slice-timing effects and their correction in functional MRI
- (2011) Ronald Sladky et al. NEUROIMAGE
- A geometric view of global signal confounds in resting-state functional MRI
- (2011) Hongjian He et al. NEUROIMAGE
- The influence of head motion on intrinsic functional connectivity MRI
- (2011) Koene R.A. Van Dijk et al. NEUROIMAGE
- Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion
- (2011) Jonathan D. Power et al. NEUROIMAGE
- Model sparsity and brain pattern interpretation of classification models in neuroimaging
- (2011) Peter M. Rasmussen et al. PATTERN RECOGNITION
- A new tablet for writing and drawing during functional MRI
- (2010) Fred Tam et al. HUMAN BRAIN MAPPING
- A mutual information-based metric for evaluation of fMRI data-processing approaches
- (2010) Babak Afshin-Pour et al. HUMAN BRAIN MAPPING
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- (2010) Grigori Yourganov et al. NEUROIMAGE
- Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review
- (2010) Anjali Krishnan et al. NEUROIMAGE
- Neural basis of global resting-state fMRI activity
- (2010) M. L. Scholvinck et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Circular analysis in systems neuroscience: the dangers of double dipping
- (2009) Nikolaus Kriegeskorte et al. NATURE NEUROSCIENCE
- The Secret Life of Motion Covariates
- (2009) JM Ollinger et al. NEUROIMAGE
- Integration of motion correction and physiological noise regression in fMRI
- (2008) Tyler B. Jones et al. NEUROIMAGE
- Machine learning classifiers and fMRI: A tutorial overview
- (2008) Francisco Pereira et al. NEUROIMAGE
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