Multi-contrast Anatomical Subcortical Structures Parcellation

Published: May 28, 2020, 10 p.m.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.05.26.115865v1?rss=1 Authors: Bazin, P.-L., Alkemade, A., Mulder, M., Henry, A. G., Forstmann, B. Abstract: The human subcortex is comprised of more than 450 individual nuclei which lie deep in the brain. Due to their small size and close proximity, up until now only 7% have been depicted in standard MRI atlases. Thus, the human subcortex can largely be considered as terra incognita. Here we present a new open source parcellation algorithm to map terra incognita automatically. The new algorithm has been tested on 17 prominent subcortical structures based on a large quantitative MRI dataset at 7 Tesla. The algorithm is carefully validated against expert human raters, available in Open Source, and can easily be extended to other subcortical structures and applied to any quantitative MRI dataset. In sum, we hope this novel parcellation algorithm will facilitate functional and structural neuroimaging research into small subcortical nuclei and help to chart terra incognita. Copy rights belong to original authors. Visit the link for more info