AnalyzeFMRI

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.


References in zbMATH (referenced in 12 articles , 1 standard article )

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  1. Mair, Patrick: Modern psychometrics with R (2018)
  2. Richard Beare; Bradley Lowekamp; Ziv Yaniv: Image Segmentation, Registration and Characterization in R with SimpleITK (2018) not zbMATH
  3. John Muschelli, Elizabeth Sweeney, Martin Lindquist, Ciprian Crainiceanu: fslr: Connecting the FSL Software with R (2015) not zbMATH
  4. Brandon Whitcher; Volker Schmid: Quantitative Analysis of Dynamic Contrast-Enhanced and Diffusion-Weighted Magnetic Resonance Imaging for Oncology in R (2011) not zbMATH
  5. Brandon Whitcher; Volker Schmid; Andrew Thorton: Working with the DICOM and NIfTI Data Standards in R (2011) not zbMATH
  6. Cécile Bordier; Michel Dojat; Pierre Micheaux: Temporal and Spatial Independent Component Analysis for fMRI Data Sets Embedded in the AnalyzeFMRI R Package (2011) not zbMATH
  7. Dai Feng; Luke Tierney: mritc: A Package for MRI Tissue Classification (2011) not zbMATH
  8. Karsten Tabelow; Brandon Whitcher: Special Volume on Magnetic Resonance Imaging in R (2011) not zbMATH
  9. Karsten Tabelow; Jörg Polzehl: Statistical Parametric Maps for Functional MRI Experiments in R: The Package fmri (2011) not zbMATH
  10. Wouter Weeda; Frank Vos; Lourens Waldorp; Raoul Grasman; Hilde Huizenga: arf3DS4: An Integrated Framework for Localization and Connectivity Analysis of fMRI Data (2011) not zbMATH
  11. C. Bordier, Michel Dojat, Pierre Lafaye de Micheaux: Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package (2010) arXiv
  12. Dai Feng; Luke Tierney: Computing and Displaying Isosurfaces in R (2008) not zbMATH