This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
327
|
Type:
|
Topic Contributed
|
Date/Time:
|
Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Bayesian Statistical Science
|
Abstract - #309466 |
Title:
|
fMRI Analysis with Structured Bayesian Variable Selection
|
Author(s):
|
Feng Liang*+
|
Companies:
|
University of Illinois
|
Address:
|
Department of Statistics, Urbana, IL, 61820,
|
Keywords:
|
|
Abstract:
|
Functional magnetic resonance imaging (fMRI), one of the recently developed forms of neuroimaging technology, has radically improved our understanding of the structure, functional organization and pathology of the human brain. One main aim of fMRI is to detect regions that respond to certain stimuli, i.e., activation regions. One challenge in fMRI analysis is that the fMRI response is not instantaneous, but lagged and damped by an unknown hemodynamic response function (HRF). We present a novel Bayesian method for simultaneous HRF estimation and activation detection for fMRI data. A Bayesian variable selection approach is used to induce shrinkage and sparsity; a spatial prior on latent variables is used to pool information from neighboring voxels; the activation map is generated from the full spectrum of posterior inference through a Markov chain Monte Carlo scheme.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2010 program
|
2010 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.