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Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity.

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Deep brain stimulation: Imaging on a group level., , , , , , and . NeuroImage, (2020)Brain fMRI processing and classification based on combination of PCA and SVM., , , , and . IJCNN, page 3384-3389. IEEE Computer Society, (2009)Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity., , , , , , , and . NeuroImage, (2018)Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging., , , , , , , , , and 9 other author(s). NeuroImage, (2019)Normative vs. patient-specific brain connectivity in deep brain stimulation., , , , , , , , , and 3 other author(s). NeuroImage, (2021)Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks., , , , , , , , , and 13 other author(s). NeuroImage, (March 2023)Optimization and comparative evaluation of nonlinear deformation algorithms for atlas-based segmentation of DBS target nuclei., , , , , and . NeuroImage, (2019)