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; Brian S. Caffo

doi:10.1371/journal.pone.0089470

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, Brian S. Caffo

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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.

Original language	English (US)
Article number	e89470
Journal	PloS one
Volume	9
Issue number	2
DOIs	https://doi.org/10.1371/journal.pone.0089470
State	Published - Feb 28 2014

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology
General Agricultural and Biological Sciences
General

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Analytic programming with fMRI data: A quick-start guide for statisticians using R

Abstract

ASJC Scopus subject areas

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