title: A multi-level parcellation approach for brain functional connectivity analysis.
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.
authors: LSIIT/MIV (UMR 7005), CNRS, Université de Strasbourg. karkar@lsiit.u-strasbg.fr
authors: Slim
authors: S
authors: Karkar
authors: Sylvain
authors: S
authors: Faisan
authors: Laurent
authors: L
authors: Thoraval
authors: Jack R
authors: JR
authors: Foucher
mesh_terms: D000465:Algorithms; D001921:Brain / Q000473:pathology / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods; D016000:Cluster Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging / Q000295:instrumentation* / Q000379:methods; D008959:Models, Neurological; D009415:Nerve Net; D009434:Neural Pathways; D016011:Normal Distribution; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted