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neuRosim: an R package for generating fMRI data

Marijke Welvaert UGent, Joke Durnez UGent, Beatrijs Moerkerke UGent, Geert Verdoolaege UGent and Yves Rosseel UGent (2011) JOURNAL OF STATISTICAL SOFTWARE. 44(10). p.1-18
abstract
Studies that validate statistical methods for functional magnetic resonance imaging (fMRI) data often use simulated data to ensure that the ground truth is known. However, simulated fMRI data are almost always generated using in-house procedures because a well-accepted simulation method is lacking. In this article we describe the R package neuRosim, which is a collection of data generation functions for neuroimaging data. We will demonstrate the possibilities to generate data from simple time series to complete 4D images and the possibilities for the user to create her own data generation method.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
simulation, fMRI, data generation, RESOLUTION, EVENT-RELATED FMRI, MR IMAGE-ANALYSIS, SIMULATION, PHYSIOLOGICAL NOISE, FUNCTIONAL MRI, ARTIFACTS, ACTIVATION, TIME-SERIES, STATISTICAL-METHODS
journal title
JOURNAL OF STATISTICAL SOFTWARE
J. Stat. Softw.
volume
44
issue
10
issue title
Magnetic resonance imaging in R
pages
1 - 18
Web of Science type
Article
Web of Science id
000296719000001
JCR category
STATISTICS & PROBABILITY
JCR impact factor
4.01 (2011)
JCR rank
1/116 (2011)
JCR quartile
1 (2011)
ISSN
1548-7660
project
The integrative neuroscience of behavioral control (Neuroscience)
language
English
UGent publication?
yes
classification
A1
copyright statement
I have retained and own the full copyright for this publication
id
1892119
handle
http://hdl.handle.net/1854/LU-1892119
date created
2011-08-24 16:50:06
date last changed
2015-06-17 09:49:52
@article{1892119,
  abstract     = {Studies that validate statistical methods for functional magnetic resonance imaging (fMRI) data often use simulated data to ensure that the ground truth is known. However, simulated fMRI data are almost always generated using in-house procedures because a well-accepted simulation method is lacking. In this article we describe the R package neuRosim, which is a collection of data generation functions for neuroimaging data. We will demonstrate the possibilities to generate data from simple time series to complete 4D images and the possibilities for the user to create her own data generation method.},
  author       = {Welvaert, Marijke and Durnez, Joke and Moerkerke, Beatrijs and Verdoolaege, Geert and Rosseel, Yves},
  issn         = {1548-7660},
  journal      = {JOURNAL OF STATISTICAL SOFTWARE},
  keyword      = {simulation,fMRI,data generation,RESOLUTION,EVENT-RELATED FMRI,MR IMAGE-ANALYSIS,SIMULATION,PHYSIOLOGICAL NOISE,FUNCTIONAL MRI,ARTIFACTS,ACTIVATION,TIME-SERIES,STATISTICAL-METHODS},
  language     = {eng},
  number       = {10},
  pages        = {1--18},
  title        = {neuRosim: an R package for generating fMRI data},
  volume       = {44},
  year         = {2011},
}

Chicago
Welvaert, Marijke, Joke Durnez, Beatrijs Moerkerke, Geert Verdoolaege, and Yves Rosseel. 2011. “neuRosim: An R Package for Generating fMRI Data.” Journal of Statistical Software 44 (10): 1–18.
APA
Welvaert, M., Durnez, J., Moerkerke, B., Verdoolaege, G., & Rosseel, Y. (2011). neuRosim: an R package for generating fMRI data. JOURNAL OF STATISTICAL SOFTWARE, 44(10), 1–18.
Vancouver
1.
Welvaert M, Durnez J, Moerkerke B, Verdoolaege G, Rosseel Y. neuRosim: an R package for generating fMRI data. JOURNAL OF STATISTICAL SOFTWARE. 2011;44(10):1–18.
MLA
Welvaert, Marijke, Joke Durnez, Beatrijs Moerkerke, et al. “neuRosim: An R Package for Generating fMRI Data.” JOURNAL OF STATISTICAL SOFTWARE 44.10 (2011): 1–18. Print.