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We integrated the information from structural and diffusion MRI from a group of healthy subjects, to develop a data-driven parcellation of the human subcortex. We first identified the data features that are sensitive to the micro-architectural variabilities within subcortex and then segregated specialised sub-regions with discernible properties. Our parcellated sub-regions demonstrated remarkable similarities to known nuclei and sub-structures within striatum, globus pallidus, and thalamus. Our parcellation has also identified regions which are known to have distinct anatomical and functional properties but that are yet to be explicitly added to extant human brain atlases.
Ali et al. (Wed,) studied this question.
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