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

Authors :
Eloyan, Ani
Li, Shanshan
Muschelli, John
Pekar, Jim J.
Mostofsky, Stewart H.
Caffo, Brian S.
Source :
PLoS ONE. Feb2014, Vol. 9 Issue 2, p1-13. 13p.
Publication Year :
2014

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
9
Issue :
2
Database :
Academic Search Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
94731092
Full Text :
https://doi.org/10.1371/journal.pone.0089470