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Proceedings Paper

An application of the complex general linear model to analysis of fMRI single subjects multiple stimuli input data
Author(s): Daniel Rio; Robert Rawlings; Lawrence Woltz; Jodi Gilman; Daniel Hommer
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Paper Abstract

The general linear model (GLM) has been extensively applied to fMRI data in the time domain. However, traditionally time series data can be analyzed in the Fourier domain where the assumptions made as to the noise in the signal can be less restrictive and statistical tests are mathematically more rigorous. A complex form of the GLM in the Fourier domain has been applied to the analysis of fMRI (BOLD) data. This methodology has a number of advantages over temporal methods: 1. Noise in the fMRI data is modeled more generally and closer to that actually seen in the data. 2. Any input function is allowed regardless of the timing. 3. Non-parametric estimation of the transfer functions at each voxel are possible. 4. Rigorous statistical inference of single subjects is possible. This is demonstrated in the analysis of an experimental design with random exponentially distributed stimulus inputs (a two way ANOVA design with input stimuli images of alcohol, non-alcohol beverage and positive or negative images) sampled at 400 milliseconds. This methodology applied to a pair of subjects showed precise and interesting results (e.g. alcoholic beverage images attenuate the response of negative images in an alcoholic as compared to a control subject).

Paper Details

Date Published: 27 February 2009
PDF: 10 pages
Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72622Q (27 February 2009); doi: 10.1117/12.811811
Show Author Affiliations
Daniel Rio, National Institutes of Health (United States)
Robert Rawlings, National Institutes of Health (United States)
Lawrence Woltz, Synergy Research Inc. (United States)
Jodi Gilman, National Institutes of Health (United States)
Daniel Hommer, National Institutes of Health (United States)

Published in SPIE Proceedings Vol. 7262:
Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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