AnalyzeFMRI swMATH ID: 19796 Software Authors: P Lafaye de Micheaux, J L Marchini Description: Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package. For statistical analysis of functional Magnetic Resonance Imaging (fMRI) data sets, we propose a data-driven approach based on Independent Component Analysis (ICA) implemented in a new version of the AnalyzeFMRI R package. For fMRI data sets, spatial dimension being much greater than temporal dimension, spatial ICA is the tractable approach generally proposed. However, for some neuroscientific applications, temporal independence of source signals can be assumed and temporal ICA becomes then an attracting exploratory technique. In this work, we use a classical linear algebra result ensuring the tractability of temporal ICA. We report several experiments on synthetic data and real MRI data sets that demonstrate the potential interest of our R package. Homepage: https://cran.r-project.org/web/packages/AnalyzeFMRI/index.html Source Code: https://github.com/cran/AnalyzeFMRI Dependencies: R Related Software: R; fmri; RNiftyReg; oro.nifti; cudaBayesreg; oro.dicom; mritc; TractoR; arf3DS4; AFNI; Ebimage; CRAN Task Views; dcemriS4; dpmixsim; Rniftilib; ANTsR; fslr; dti; adimpro; ITK Cited in: 1 Publication Standard Articles 1 Publication describing the Software Year Cited by 1 Author 1 Mair, Patrick Cited in 1 Serial 1 Use R! Cited in 4 Fields 1 Statistics (62-XX) 1 Computer science (68-XX) 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) 1 Biology and other natural sciences (92-XX) Citations by Year