Analysis of task-based functional MRI data preprocessed with fMRIPrep
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Analysis of task-based functional MRI data preprocessed with fMRIPrep
Authors
Keywords
-
Journal
Nature Protocols
Volume 15, Issue 7, Pages 2186-2202
Publisher
Springer Science and Business Media LLC
Online
2020-06-09
DOI
10.1038/s41596-020-0327-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging
- (2019) David N. Kennedy et al. Frontiers in Neuroinformatics
- Exploring the impact of analysis software on task fMRI results
- (2019) Alexander Bowring et al. HUMAN BRAIN MAPPING
- fMRIPrep: a robust preprocessing pipeline for functional MRI
- (2018) Oscar Esteban et al. NATURE METHODS
- Mitigating head motion artifact in functional connectivity MRI
- (2018) Rastko Ciric et al. Nature Protocols
- MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
- (2017) Oscar Esteban et al. PLoS One
- BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods
- (2017) Krzysztof J. Gorgolewski et al. PLoS Computational Biology
- Mindboggling morphometry of human brains
- (2017) Arno Klein et al. PLoS Computational Biology
- Singularity: Scientific containers for mobility of compute
- (2017) Gregory M. Kurtzer et al. PLoS One
- The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
- (2016) Krzysztof J. Gorgolewski et al. Scientific Data
- Characterization and Correction of Geometric Distortions in 814 Diffusion Weighted Images
- (2016) Jeffrey Mark Treiber et al. PLoS One
- Progress and challenges in probing the human brain
- (2015) Russell A. Poldrack et al. NATURE
- Machine learning for neuroimaging with scikit-learn
- (2014) Alexandre Abraham et al. Frontiers in Neuroinformatics
- The minimal preprocessing pipelines for the Human Connectome Project
- (2013) Matthew F. Glasser et al. NEUROIMAGE
- Methods to detect, characterize, and remove motion artifact in resting state fMRI
- (2013) Jonathan D. Power et al. NEUROIMAGE
- Toward open sharing of task-based fMRI data: the OpenfMRI project
- (2013) Russell A. Poldrack et al. Frontiers in Neuroinformatics
- Contrast-enhanced functional blood volume imaging (CE-fBVI): Enhanced sensitivity for brain activation in humans using the ultrasmall superparamagnetic iron oxide agent ferumoxytol
- (2012) Deqiang Qiu et al. NEUROIMAGE
- The Human Connectome Project: A data acquisition perspective
- (2012) D.C. Van Essen et al. NEUROIMAGE
- FreeSurfer
- (2012) Bruce Fischl NEUROIMAGE
- FSL
- (2011) Mark Jenkinson et al. NEUROIMAGE
- Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python
- (2011) Krzysztof Gorgolewski et al. Frontiers in Neuroinformatics
- N4ITK: Improved N3 Bias Correction
- (2010) Nicholas J Tustison et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Unbiased average age-appropriate atlases for pediatric studies
- (2010) Vladimir Fonov et al. NEUROIMAGE
- A reproducible evaluation of ANTs similarity metric performance in brain image registration
- (2010) Brian B. Avants et al. NEUROIMAGE
- Accurate and robust brain image alignment using boundary-based registration
- (2009) Douglas N. Greve et al. NEUROIMAGE
- Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain
- (2007) B AVANTS et al. MEDICAL IMAGE ANALYSIS
- Power calculation for group fMRI studies accounting for arbitrary design and temporal autocorrelation
- (2007) Jeanette A. Mumford et al. NEUROIMAGE
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started