mni.mean.statistics: Run a linear model on the average of a series of cortical...
In BIC-MNI/mni.cortical.statistics: Regression analyses on the surface

Uses a GLIM matrix and regresses the average of each file listed in the first column against the model.Any formula that is valid for lm is also valid here.

1	mni.mean.statistics(glim.matrix, statistics.model, vertex.table=FALSE)

`glim.matrix`	The matrix to test against. Usually read using mni.read.glim.file.
`statistics.model`	The model to test, where y takes the place of the independent variable. For example, 'y ~ Intercept + Group'
`vertex.table`	A matrix containing the vertex data on which the analysis will be run. This matrix is best generated through mni.build.data.table. Alternately, the argument can be left as FALSE, in which case the vertex table will be built from the glim matrix specified as the first argument.