Fig. 4: The algorithm of striosome- and matrix-like voxel identification. | npj Parkinson's Disease

Fig. 4: The algorithm of striosome- and matrix-like voxel identification.

From: Analysis of striatal connectivity corresponding to striosomes and matrix in de novo Parkinson’s disease and isolated REM behavior disorder

Fig. 4

a Probabilistic tractography is initiated using the striatum as a seed and striosome- and matrix-favoring brain regions as targets. The resulting two images contain voxel values which represent the tractographic scores. b These images are then processed using FSL’s proj_thresh tool, which sums the voxel values of both images and generates a summed image and two new striosome- and matrix-associated images. The value of a voxel in the two newly generated images represents a fraction of the respective compartment’s tractographic score in the summed image. c If in either of these images a voxel value exceeds 0.87, the voxel is identified as striosome- or matrix-like, respectively.

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