• 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