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

Ani Eloyan, Shanshan Li, John Muschelli, Jim J Pekar, Stewart H Mostofsky and Brian S Caffo

PLOS ONE, 2014, vol. 9, issue 2, 1-13

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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0089470

DOI: 10.1371/journal.pone.0089470

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