A comparison of VBM results by SPM, ICA and LICA

Authors:
Darya Chyzyk;Maite Termenon;Alexandre Savio
Affiliations:
Computational Intelligence Group, Dept CCIA, UPV/EHU, San Sebastian, Spain;Computational Intelligence Group, Dept CCIA, UPV/EHU, San Sebastian, Spain;Computational Intelligence Group, Dept CCIA, UPV/EHU, San Sebastian, Spain
Venue:
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Year:
2010

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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.