neuRosim-package: Functions to Generate fMRI Data Including Activated Data,...

In neuRosim: Simulate fMRI Data

Functions to Generate fMRI Data Including Activated Data, Noise Data and Resting State Data

Description

The package allows users to generate fMRI time series or 4D data. Some high-level functions are created for fast data generation with only a few arguments and a diversity of functions to define activation and noise. For more advanced users it is possible to use the low-level functions and manipulate the arguments.

Author(s)

Marijke Welvaert with contributions from Joke Durnez, Beatrijs Moerkerke, Yves Rosseel, Karsten Tabelow, and Geert Verdoolaege

Maintainer: Karsten Tabelow <[e-mail]>

References

Welvaert, M., Durnez, J., Moerkerke, B., Verdoolaege, G. and Rosseel, Y. (2011). neuRosim: An R Package for Generating fMRI Data. Journal of Statistical Software, 44(10), 1–18

Examples

## Generate fMRI time series for block design
design <- simprepTemporal(totaltime=200, onsets=seq(1,200,40),
	 durations=20, TR=2, effectsize=1, hrf="double-gamma")
ts <- simTSfmri(design=design, SNR=1, noise="white")
plot(ts, type="l")

## Generate fMRI slice for block design with activation in 2 regions
design <- simprepTemporal(totaltime=200, onsets=seq(1,200,40), 
	durations=20, TR=2, effectsize=1, hrf="double-gamma")
region <- simprepSpatial(regions=2, coord=list(c(32,15),c(57,45)), 
	radius=c(10,7), form="sphere")
out <- simVOLfmri(design=design, image=region, dim=c(64,64), 
	SNR=1, noise="none")
plot(out[32,15,], type="l")

neuRosim documentation built on Oct. 18, 2023, 5:09 p.m.