The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
517
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Bayesian Statistical Science
|
| Abstract - #306760 |
|
Title:
|
A Bayesian Multivariate State-Space Connectivity Approach to Modeling Brain Dynamics
|
|
Author(s):
|
Jairo Fuquene*+ and Raquel Prado
|
|
Companies:
|
University of California at Santa Cruz and University of California at Santa Cruz
|
|
Address:
|
Graduate Student Housing, Santa Cruz, CA, CA, 95064, United States
|
|
Keywords:
|
Dynamic Models ;
Sparsity Priors ;
MCMC Methods ;
Brain Signals ;
fMRI Data ;
State-Space Models
|
|
Abstract:
|
We propose a Bayesian approach for studying the dynamic relationship between multiple brain signals. We consider state-space models with sparsity priors on the parameters that describe brain connectivity. This allows us to infer the coupling or lag-lead relationships between any pairs of brain regions represented in the data. We apply the proposed approach to an fMRI data set.
|
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 2012 program
|
2012 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.