This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
15
|
Type:
|
Topic Contributed
|
Date/Time:
|
Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Biometrics Section
|
Abstract - #307248 |
Title:
|
Spatio-Spectral Approach in fMRI Data Analysis: An Approach to Dealing with High Dimensionality of the Data
|
Author(s):
|
Hakmook Kang*+
|
Companies:
|
Brown University
|
Address:
|
121 South Main St., Providence, RI, 02912,
|
Keywords:
|
spatio-temporal ;
fMRI ;
spatio-spectral ;
Neuroimaging ;
mixed model
|
Abstract:
|
One goal of brain imaging (fMRI) is to identify brain networks and local regions involved in processing information. The standard analysis uses voxel-based linear regression models and often does not take into account the spatial correlation in the fMRI data. Ignoring spatial correlation can lead to misleading results. Due to high spatio-temporal dimensionality of the fMRI data, it is challenging to fit a full spatio-temporal model. Here, we develop a new approach by modeling the spatio-temporal correlation in the frequency domain. This significantly reduces the complexity of the problem and the computational burden because, under mild assumptions on the stochastic process, the spatio-temporal covariance matrix is approximately block diagonal. We estimate model parameters via maximum likelihood. We apply the method to a fMRI data set collected in a working memory experiment.
|
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.