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Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R

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Listed:
  • Ani Eloyan
  • Shanshan Li
  • John Muschelli
  • Jim J Pekar
  • Stewart H Mostofsky
  • Brian S Caffo

Abstract

Functional magnetic resonance imaging (fMRI) is a thriving field that plays an important role in medical imaging analysis, biological and neuroscience research and practice. This manuscript gives a didactic introduction to the statistical analysis of fMRI data using the R project, along with the relevant R code. The goal is to give statisticians who would like to pursue research in this area a quick tutorial for programming with fMRI data. References of relevant packages and papers are provided for those interested in more advanced analysis.

Suggested Citation

  • Ani Eloyan & Shanshan Li & John Muschelli & Jim J Pekar & Stewart H Mostofsky & Brian S Caffo, 2014. "Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-13, February.
    • Handle: RePEc:plo:pone00:0089470
    DOI: 10.1371/journal.pone.0089470
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    References listed on IDEAS

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    2. Nicole A. Lazar & William F. Eddy & Christopher R. Genovese & Joel Welling, 2001. "Statistical Issues in fMRI for Brain Imaging," International Statistical Review, International Statistical Institute, vol. 69(1), pages 105-127, April.
    3. Tabelow, Karsten & Polzehl, Jörg, 2011. "Statistical Parametric Maps for Functional MRI Experiments in R: The Package fmri," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 44(i11).
    4. Nikos K. Logothetis & Jon Pauls & Mark Augath & Torsten Trinath & Axel Oeltermann, 2001. "Neurophysiological investigation of the basis of the fMRI signal," Nature, Nature, vol. 412(6843), pages 150-157, July.
    5. Welvaert, Marijke & Durnez, Joke & Moerkerke, Beatrijs & Berdoolaege, Geert & Rosseel, Yves, 2011. "neuRosim: An R Package for Generating fMRI Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 44(i10).
    6. Tabelow, Karsten & Whitcher, Brandon, 2011. "Special Volume on Magnetic Resonance Imaging in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 44(i01).
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