Rolfe, Sara (2007) An Independent Component Analysis Based Tool for Exploring Functional Connections in the Brain. Masters thesis, University of Washington.
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Abstract
This thesis describes the use of independent component analysis (ICA) as
a measure of voxel similarity, which allows the user to find and view
statistically independent maps of correlated voxel activity.
The tool developed in this work uses a specialized clustering technique,
designed to find and characterize clusters of activated voxels, to
compare the independent component spatial maps across patients. This
same method is also used to compare SPM results across patients.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | All Projects > Brain Mapping |
| Depositing User: | Jim Brinkley |
| Date Deposited: | 11 Jul 2007 |
| Last Modified: | 24 Jul 2017 23:33 |
| URI: | http://sigpubs.si.washington.edu/id/eprint/209 |
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