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  Multi-contrast anatomical subcortical structures parcellation

Bazin, P.-L., Alkemade, A., Mulder, M. J., Henry, A. G., & Forstmann, B. U. (2020). Multi-contrast anatomical subcortical structures parcellation. eLife, 9: e59430. doi:10.7554/eLife.59430.

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 Creators:
Bazin, Pierre-Louis1, 2, Author              
Alkemade, Anneke1, Author
Mulder, Martijn J.1, 3, Author
Henry, Amanda G.4, Author
Forstmann, Birte U.1, Author
Affiliations:
1Integrative Model-Based Cognitive Neuroscience Research Unit (IMCN), University of Amsterdam, the Netherlands, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
3Department of Psychology, Utrecht University, the Netherlands, ou_persistent22              
4Faculty of Archaeology, Leiden University, the Netherlands, ou_persistent22              

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 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 automatically map the subcortex. The new algorithm has been tested on 17 prominent subcortical structures based on a large quantitative MRI dataset at 7 Tesla. It has been carefully validated against expert human raters and previous methods, 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.

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Language(s): eng - English
 Dates: 2020-05-282020-12-152020-12-29
 Publication Status: Published online
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 Identifiers: DOI: 10.7554/eLife.59430
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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 9 Sequence Number: e59430 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X