To facilitate seed-based resting state fMRI (rs-fMRI) data analysis, we have been developing a method to automatically compute the seed location by using anatomical and rs-fMRI data. In the method, self-organizing map (SOM) is used to cluster voxels within searching ROI and then the seed locations are derived from the voxel clusters. The methods were tested on ten subjects to find seed in the motor cortex. The computed seeds successfully matched unilateral finger tapping fMRI maps in eight out of ten subjects.
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