23. Gaussian Random Fields
This video introduces Gaussian Random Field (GRF) theory, including an explanation of what if meant by "fields" of data and why they are relevant to fMRI. I introduce the Euler characteristic of GRFs and how we can use it analytically solve for a height threshold that maintains a family-wise false positive rate of p is less than 0.05 over the GRF. I end by discussing the strengths and weaknesses of this form of voxel-wise thresholding.
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