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A Comparison of VBM Results by SPM, ICA and LICA

  • Darya Chyzyk
  • Maite Termenon
  • Alexandre Savio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6077)

Abstract

Lattice Independent Component Analysis (LICA) approach consists of a detection of independent vectors in the morphological or lattice theoretic sense that are the basis for a linear decomposition of the data. We apply it in this paper to a Voxel Based Morphometry (VBM) study on Alzheimer’s disease (AD) patients extracted from a well known public database. The approach is compared to SPM and Independent Component Analysis results.

Keywords

Independent Component Analysis Voxel Base Morphometry Lattice Computing Independent Component Analysis Approach Linear Unmixing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Darya Chyzyk
    • 1
  • Maite Termenon
    • 1
  • Alexandre Savio
    • 1
  1. 1.Computational Intelligence Group, Dept. CCIAUPV/EHUSan SebastianSpain

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