Package fmri details

Analysis of fMRI Experiments

Contains R-functions to perform an fMRI analysis as described in Polzehl and Tabelow (2019) , Tabelow et al. (2006) , Polzehl et al. (2010) , Tabelow and Polzehl (2011) .

Maintainer: Karsten Tabelow < tabelow at >


From within R, enter citation('fmri')

To cite fmri in publications use:

Karsten Tabelow, Joerg Polzehl (2011). Statistical Parametric Maps
for Functional MRI Experiments in R: The Package fmri. Journal of
Statistical Software, 44(11), 1-21. URL

For the underlying structural adaptive smoothing method please cite:

Karsten Tabelow, Joerg Polzehl, Henning U. Voss, Vladimir Spokoiny
(2006). Analyzing fMRI experiments with structural adaptive smoothing
procedures. NeuroImage, 33(1), 55-62.

For the underlying structural adaptive segmentation method please cite:

Karsten Tabelow, Joerg Polzehl, Henning U. Voss, Vladimir Spokoiny
(2006). Structural adaptive segmentation for statistical parametric
mapping. NeuroImage, 52(2), 515-523.

To see these entries in BibTeX format, use 'print(,
bibtex=TRUE)', 'toBibtex(.)', or set


If you have any problems with this package you can open a new issue or check the already existing ones here.

To install this package, start R and enter:


# Default Install

# from GitHub
neuro_install('fmri', release = "stable", release_repo = "github")
neuro_install('fmri', release = "current", release_repo = "github")

More detailed installation instructions can be found here.


Initially submitted on September 27 2018 12:52PM
Last updated on February 28 2020 5:00PM
Package type standard
Source GitHub GitHub
Neuroconductor GitHub GitHub
DependsR (3.3.0)
ImportsgrDevices, graphics, stats, utils, nlme, parallel, metafor, methods, aws (2.4)
Suggeststcltk, tkrplot, fastICA, adimpro (0.9), oro.nifti