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Article
ANALYTIC PROGRAMMING WITH fMRI DATA: A QUICK-START GUIDE FOR STATISTICIANS USING R
Johns Hopkins University, Dept. of Biostatistics Working Papers
  • Ani Eloyan, Johns Hopkins Bloomberg School of Public Health
  • Shanshan Li, Johns Hopkins Bloomberg School of Public Health
  • John Muschelli, Johns Hopkins Bloomberg School of Public Health
  • Jim Pekar, Kennedy Krieger Institute, Johns Hopkins University
  • Stewart Mostofsky, Kennedy Krieger Institute, Johns Hopkins University
  • Brian S. Caffo, Johns Hopkins Bloomberg School of Public Health
Date of this Version
7-14-2012
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 tatisticians who would like to pursue research in this area a quick start for programming with fMRI data along with the available data visualization tools.
Citation Information
Ani Eloyan, Shanshan Li, John Muschelli, Jim Pekar, et al.. "ANALYTIC PROGRAMMING WITH fMRI DATA: A QUICK-START GUIDE FOR STATISTICIANS USING R" (2012)
Available at: http://works.bepress.com/john_muschelli/2/