DocumentCode :
3573135
Title :
Topographic independent component analysis for fMRI signal detection
Author :
Meyer-B?¤se, Anke ; Auer, Ddrothee ; Wismueller, Axel
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida State Univ., Tallahassee, FL, USA
Volume :
1
fYear :
2003
Firstpage :
601
Abstract :
This contribution describes the application of topographic independent component analysis to fMRI signal analysis. This new discriminating paradigm represents a combination of signal separation based on traditional independent component analysis with at the same time clustering based on a topographic order. When applied to fMRI analysis, this new method outperforms both traditional independent component analysis as well as other standard clustering techniques.
Keywords :
biomedical MRI; independent component analysis; medical image processing; source separation; clustering; fMRI signal detection; functional magnetic resonance imaging; signal separation; topographic independent component analysis; topographic order; Application software; Computer graphics; Independent component analysis; Principal component analysis; Psychiatry; Radiology; Signal analysis; Signal detection; Source separation; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-7898-9
Type :
conf
DOI :
10.1109/IJCNN.2003.1223428
Filename :
1223428
Link To Document :
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