? The goal of this project is to develop a generalized method for estimating functional connectivity between interacting brain regions using functional magnetic resonance imaging (fMRI) data. The development and validation of a generalized method for estimating functional connectivity using fMRI data will be addressed in the following steps. First, I present a bivariate analysis method using coherence as a measure of connectivity between regions. This method is similar to many of the current correlation methods, however functional connectivity in fMRI data using coherence has not been tested. Then, I will test the analysis method on fMRI data acquired while subjects perform a series of bimanual tasks. Bimanual tasks are chosen because the cortical motor system is well studied and basic theories of connectivity within the bilateral primary motor areas and supplementary motor areas exist, based on primate, lesion, EEG, MEG, and fMRI studies. Finally, the results for the new technique will be compared against the standard univariate approach as well as results from other brain imaging modalities. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
1F31NS046906-01
Application #
6692297
Study Section
Special Emphasis Panel (ZRG1-F01 (20))
Program Officer
Edwards, Emmeline
Project Start
2004-03-01
Project End
2004-08-31
Budget Start
2004-03-01
Budget End
2004-08-31
Support Year
1
Fiscal Year
2004
Total Cost
$15,066
Indirect Cost
Name
University of California Berkeley
Department
Miscellaneous
Type
Organized Research Units
DUNS #
124726725
City
Berkeley
State
CA
Country
United States
Zip Code
94704