An Independent Component Analysis Based Tool for Exploring Functional Connections in the Brain
2007) An Independent Component Analysis Based Tool for Exploring Functional Connections in the Brain. Masters Thesis, Electrical Engineering, University of Washington. (
Full text available as:
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.
|Projects:||Human Brain Project|
|Deposited By:||Mejino III, Dr J. E.|
|Deposited On:||11 July 2007|