Kyle Taljan1,2, Cameron McIntyre1, Ken Sakaie3
1Lerner Research Institute, Biomedical Engineering, Cleveland Clinic, Cleveland, OH, United States; 2Biomedical Engineering, Cleveland State University, Cleveland, OH, United States; 3Imaging Institute, Cleveland Clinic
In order to optimize electrode placement in deep brain stimulation it is essential to know what subcortical tracts are being stimulated. We use probabilistic tractography to segment the internal capsule (IC) of six macaques according to highest connectivity to caudate, lentiform nucleus, and thalamus. We include a statistical correction to account for distance-related tractography bias. We find that correction results in 236% change in IC voxel classification. There are consistent patterns of IC connectivity across the 6 subjects with the filter, as opposed to numerous IC segmentation differences across subjects without the correction.