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Statistical Parametric Maps for Functional MRI Experiments in R: The Package fmri

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  • Tabelow, Karsten
  • Polzehl, Jörg

Abstract

The purpose of the package fmri is the analysis of single subject functional magnetic resonance imaging (fMRI) data. It provides fMRI analysis from time series modeling by a linear model to signal detection and publication quality images. Specifically, it implements structural adaptive smoothing methods with signal detection for adaptive noise reduction which avoids blurring of activation areas. Within this paper we describe the complete pipeline for fMRI analysis using fmri. We describe data reading from various medical imaging formats and the linear modeling used to create the statistical parametric maps. We review the rationale behind the structural adaptive smoothing algorithms and explain their usage from the package fmri. We demonstrate the results of such analysis using two experimental datasets. Finally, we report on the usage of a graphical user interface for some of the package functions.

Suggested Citation

  • 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).
  • Handle: RePEc:jss:jstsof:v:044:i11
    DOI: http://hdl.handle.net/10.18637/jss.v044.i11
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    1. repec:jss:jstsof:44:i09 is not listed on IDEAS
    2. repec:jss:jstsof:44:i01 is not listed on IDEAS
    3. repec:jss:jstsof:44:i04 is not listed on IDEAS
    4. repec:jss:jstsof:44:i07 is not listed on IDEAS
    5. repec:jss:jstsof:44:i06 is not listed on IDEAS
    6. 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.

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