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November 2008 The Statistical Analysis of fMRI Data
Martin A. Lindquist
Statist. Sci. 23(4): 439-464 (November 2008). DOI: 10.1214/09-STS282


In recent years there has been explosive growth in the number of neuroimaging studies performed using functional Magnetic Resonance Imaging (fMRI). The field that has grown around the acquisition and analysis of fMRI data is intrinsically interdisciplinary in nature and involves contributions from researchers in neuroscience, psychology, physics and statistics, among others. A standard fMRI study gives rise to massive amounts of noisy data with a complicated spatio-temporal correlation structure. Statistics plays a crucial role in understanding the nature of the data and obtaining relevant results that can be used and interpreted by neuroscientists. In this paper we discuss the analysis of fMRI data, from the initial acquisition of the raw data to its use in locating brain activity, making inference about brain connectivity and predictions about psychological or disease states. Along the way, we illustrate interesting and important issues where statistics already plays a crucial role. We also seek to illustrate areas where statistics has perhaps been underutilized and will have an increased role in the future.


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Martin A. Lindquist. "The Statistical Analysis of fMRI Data." Statist. Sci. 23 (4) 439 - 464, November 2008.


Published: November 2008
First available in Project Euclid: 11 May 2009

zbMATH: 1329.62296
MathSciNet: MR2530545
Digital Object Identifier: 10.1214/09-STS282

Keywords: brain imaging , challenges , fMRI , statistical analysis

Rights: Copyright © 2008 Institute of Mathematical Statistics

Vol.23 • No. 4 • November 2008
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