Zhang, H., Luo, Wen-Lin and Nichols, Thomas E.. (2006) Diagnosis of single-subject and group fMRI data with SPMd. Human Brain Mapping, Vol.27 (No.5). pp. 442-451. ISSN 1065-9471

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Abstract

Except for purely nonparametric methods, statistical methods depend on assumptions about the distribution of the data studied. While these assumptions are easily checked for a single univariate dataset with diagnostic plots, in the massively univariate model used with functional MRI (fMRI) it is impractical to check with a massive number of plots. In previous work we have demonstrated how to diagnose model assumptions and lack-of-fit for single-subject fMRI models using a working assumption of independent errors; our work depended on images and time series of summary statistics that, when simultaneously viewed dynamically, identify problem scans and voxels. In this article we extend our previous work to account for temporal autocorrelation in single-subject models and show how analogous methods can be used on group models where multiple subjects are studied. We apply these methods to the single-subject Functional Image Analysis Contest (FIAC) data and find several anomalies, but none that appear to invalidate the results for that subject. With the group FIAC data we find one subject (and possibly two more) that demonstrate a different pattern of activity. None of our conclusions would be arrived at by simply looking at images of t statistics, demonstrating the importance of model assessment through exploration of the data and diagnosis of model assumptions

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RC Internal medicine
Divisions:	Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH):	Magnetic resonance imaging -- Data processing, Parallel programming (Computer science)
Journal or Publication Title:	Human Brain Mapping
Publisher:	Wiley-Liss, Inc.
ISSN:	1065-9471
Date:	13 April 2006
Volume:	Vol.27
Number:	No.5
Page Range:	pp. 442-451
Identification Number:	10.1002/hbm.20253
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
References:	Dehaene-Lambertz G, Dehaene S, Anton JL, Campagne A, Ciuciu P, Dehaene GP, Denghien I, Jobert A, LeBihan D, Sigman M, Pallier C, Poline JB (2006): Functional segregation of cortical language areas by sentence repetition. Hum Brain Mapp 27:360 –371. Dobbs D (2005): “Fact or Phrenology?” Sci Am Mind 1:24 –31. Friston KJ, Frith CD, Dolan RJ (2003): Human brain function. New York: Academic Press. Friston KJ, Glaser DE, Henson RNA, Kiebel S, Phillips C, Ashburner J (2002): Classical and Bayesian inference in neuroimaging: applications. Neuroimage 16:484 –512. Luo W-L, Nichols T (2003): Diagnosis and exploration of massively univariate neuroimaging models. Neuroimage 19:1014 –1032. Wager T, Keller M, Lacey S, Jonides J (2005): Increased sensitivity in neuroimaging analyses using robust regression. Neuroimage 26:99 –113.
URI:	http://wrap.warwick.ac.uk/id/eprint/38221

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