DocumentCode :
2412547
Title :
A multi-level parcellation approach for brain functional connectivity analysis
Author :
Karkar, Slim ; Faisan, Sylvain ; Thoraval, Laurent ; Foucher, Jack R.
Author_Institution :
CNRS, Univ. de Strasbourg, Strasbourg, France
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
3497
Lastpage :
3500
Abstract :
Most brain functional connectivity methods in fMRI require a brain parcellation into functionally homogeneous regions. In this work we propose a novel parcellation approach based on a spatial hierarchical clustering, that provides clusters within a multi-level framework. The method has the advantage of producing several brain parcellations rather than a single one from a fixed size-homogeneity criterion. Results obtained on real data demonstrate the relevance of the approach. Finally, a connectivity study shows the benefit of a prior multi-level parcellation of the brain.
Keywords :
brain; medical image processing; brain functional connectivity analysis; brain parcellations; multilevel parcellation approach; spatial hierarchical clustering; Functional Connectivity; Functional Neuroimaging; Hierarchical Clustering; Parcellation; Algorithms; Brain; Brain Mapping; Cluster Analysis; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Models, Neurological; Nerve Net; Neural Pathways; Normal Distribution; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5334578
Filename :
5334578
Link To Document :
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