This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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536
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract - #308067 |
Title:
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MATLAB Toolbox for the Analysis of fMRI Data: A Bayesian Spatial Model for Activation and Connectivity
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Author(s):
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Lijun Zhang*+ and Sanjay Agravat and Gordana Derado and DuBois Bowman
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Companies:
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Emory University and Emory University and Emory University and Emory University
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Address:
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Department of Biostatistics and Bioinformatics, Atlanta, GA, 30322,
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Keywords:
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Functional magnetic resonance imaging (fMRI) ;
Bayesian spatial model ;
Functional connectivity ;
Activation analyses
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Abstract:
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We present a graphical visualization and statistical MATLAB toolbox for the analysis of fMRI data, called the Bayesian Spatial Model for activation and connectivity (BSMac). BSMac simultaneously performs whole-brain activation analyses at voxel and region of interest levels as well as functional connectivity (FC) analyses using a flexible Bayesian modeling framework (Bowman et al., 2008). BSMac allows input data in either Analyze or Nifti file formats. The user also provides information pertaining to subgroup memberships, scanning sessions, and experimental tasks (stimuli), from which the design matrix is constructed. BSMac then performs parameter estimation based on MCMC methods and generates plots for activation and FC, such as interactive 2D maps of voxel and region-level task-related changes in activation, and animated 3D graphics of FC results. (http://www.sph.emory.edu/bios/CBIS).
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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