JSM 2005 - Toronto

Abstract #304583

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 183
Type: Topic Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #304583
Title: Making Group Inferences with Functional Magnetic Resonance Imaging Data Using Spatiotemporal Models
Author(s): Qihua Lin*+ and Patrick Carmack and Richard Gunst and William R. Schucany and Jeffrey Spence
Companies: Southern Methodist University and The University of Texas Southwestern Medical Center at Dallas and Southern Methodist University and Southern Methodist University and The University of Texas Southwestern Medical Center at Dallas
Address: 3225 Daniel Avenue, Dallas, TX, 75275-0332, United States
Keywords: fMRI ; Spatiotemporal models ; Group inferences
Abstract:

Functional magnetic resonance imaging (fMRI) is a promising technique used in many fields, such as neuroscience, to study the functions of human brains. The fMRI signals are collected by detecting changes in blood properties associated with neural activation at each location (voxel) of the brain. Data from fMRI experiments are of a complex nature with both spatial and temporal correlations, differential spatial and temporal responses to stimuli, and low signal-to-noise ratios. A class of spatiotemporal models is proposed to model such data. These models can be used to identify the active regions in the brain of each individual and to make comparisons among different groups of subjects.

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Revised March 2005