The statistical analysis of cortical surface data

Keith Worsley
University of Chicago
Department of Mathematics and Statistics

This presentation emphasizes the mechanics, rather than the methods, > from data to publication. I will present Matlab software (SurfStat) for the statistical analysis of univariate and ultivariate surface data using linear mixed effects models (fitted by ReML) and random field theory (RFT).
> SurfStat is intended for cortical thickness data on triangular meshes, but it will handle any triangulated surface data; the only requirement
is that the triangulation scheme must be the same for all surfaces, i.e. the data must be registered to a common surface. Inference uses RFT for T, F,
Hotelling's T^2 and Roy's maximum root statistics. An attractive feature is the use of a model formula rather than a design matrix for specifying the linear model. It is fast, because everything is loaded into memory, permitting a truly interactive analysis, with no need for batch.
Finally, off-the-shelf Matlab graphics are ready to publish.

Audio (MP3 File, Podcast Ready)

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