@article {819,
	title = {Analytic programming with FMRI data: a quick-start guide for statisticians using R.},
	journal = {PLoS One},
	volume = {9},
	year = {2014},
	month = {2014},
	pages = {e89470},
	abstract = {<p>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.</p>},
	keywords = {Brain, brain mapping, Humans, Magnetic Resonance Imaging, Programming Languages},
	issn = {1932-6203},
	doi = {10.1371/journal.pone.0089470},
	author = {Eloyan, Ani and Li, Shanshan and Muschelli, John and Pekar, Jim J and Mostofsky, Stewart H and Caffo, Brian S}
}
