Generalized Covariance Analysis (gCVA)

Generalized Covariance Analysis: a platform for any PCA-based analysis on functional neuroimaging data (PET and fMRI).

Includes:

- Ordinal Trend Canonical Variance Analysis for parametric designs
(C. Habeck et al. A New Approach to Spatial Covariance Modeling of Functional Brain Imaging Data: Ordinal Trend Analysis. Neural Computation 2005; 17: 1602-1645)

- Partial Least Squares for any design matrix

- Subprofile Scaling Model for cross-sectional designs
(JR. Moeller, Strother SC. A regional covariance approach to the analysis of functional patterns in positron emission tomographic data.J Cereb Blood Flow Metab. 1991 Mar;11(2):A121-35.)
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Specifications

License:GNU General Public License (GPL)
Domain:MR, PET/SPECT

Recent Activity

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File Activity

gcva_pca: 1.2 release

GCVA_PCA.zip posted by Christian Habeck on Aug 22, 2011

File Activity

gcva_pca: 1.1 release

PCASuiteDocumentationCONSOLIDATED.pdf posted by Christian Habeck on Apr 13, 2010

File Activity

gcva_pca: GCVA 1.1 release

GCVA_Package.zip posted by Christian Habeck on Apr 13, 2010

Document Activity

Main Folder documentation

Overview of GCVA package posted by Christian Habeck on Apr 13, 2010