arf3DS4: An Integrated Framework for Localization and Connectivity Analysis of fMRI Data

Wouter D. Weeda, Frank de Vos, Lourens J. Waldorp, Raoul Grasman and Hilde M. Huizenga

Journal of Statistical Software, 2011, vol. 044, issue i14

Abstract: In standard fMRI analysis all voxels are tested in a massive univariate approach, that is, each voxel is tested independently. This requires stringent corrections for multiple comparisons to control the number of false positive tests (i.e., marking voxels as active while they are actually not). As a result, fMRI analyses may suffer from low power to detect activation, especially in studies with high levels of noise in the data, for example developmental or single-subject studies. Activated region fitting (ARF) yields a solution by modeling fMRI data by multiple Gaussian shaped regions. ARF only requires a small number of parameters and therefore has increased power to detect activation. If required, the estimated regions can be directly used as regions of interest in a functional connectivity analysis. ARF is implemented in the R package arf3DS4. In this paper ARF and its implementation are described and illustrated with an example.

Date: 2011-10-31
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v044i14/v44i14.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... arf3DS4_2.5-3.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v044i14/v44i14.R
https://www.jstatsoft.org/index.php/jss/article/do ... 4i14/v44i14-data.zip

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:044:i14

DOI: 10.18637/jss.v044.i14

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().