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A probabilistic atlas of the basal ganglia using 7 T MRI

A common localization procedure in functional imaging studies includes the overlay of statistical parametric functional magnetic resonance imaging (fMRI) maps or coordinates with neuroanatomical atlases in standard space, e.g., MNI-space. This procedure allows the identification of specific brain re...

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Detalles Bibliográficos
Autores principales: Keuken, Max C., Forstmann, Birte U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4543077/
https://www.ncbi.nlm.nih.gov/pubmed/26322322
http://dx.doi.org/10.1016/j.dib.2015.07.028
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author Keuken, Max C.
Forstmann, Birte U.
author_facet Keuken, Max C.
Forstmann, Birte U.
author_sort Keuken, Max C.
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description A common localization procedure in functional imaging studies includes the overlay of statistical parametric functional magnetic resonance imaging (fMRI) maps or coordinates with neuroanatomical atlases in standard space, e.g., MNI-space. This procedure allows the identification of specific brain regions. Most standard MRI software packages include a wide range of atlases but have a poor coverage of the subcortex. We estimated that approximately 7% of the known subcortical structures are mapped in standard MRI-compatible atlases [1]. Here we provide a data description of a subcortical probabilistic atlas based on ultra-high resolution in-vivo anatomical imaging using 7 T (T) MRI. The atlas includes six subcortical nuclei: the striatum (STR), the globus pallidus internal and external segment (GPi/e), the subthalamic nucleus (STN), the substantia nigra (SN), and the red nucleus (RN). These probabilistic atlases are shared on freely available platforms such as NITRC and NeuroVault and are published in NeuroImage “Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI” [2].
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spelling pubmed-45430772015-08-28 A probabilistic atlas of the basal ganglia using 7 T MRI Keuken, Max C. Forstmann, Birte U. Data Brief Data Article A common localization procedure in functional imaging studies includes the overlay of statistical parametric functional magnetic resonance imaging (fMRI) maps or coordinates with neuroanatomical atlases in standard space, e.g., MNI-space. This procedure allows the identification of specific brain regions. Most standard MRI software packages include a wide range of atlases but have a poor coverage of the subcortex. We estimated that approximately 7% of the known subcortical structures are mapped in standard MRI-compatible atlases [1]. Here we provide a data description of a subcortical probabilistic atlas based on ultra-high resolution in-vivo anatomical imaging using 7 T (T) MRI. The atlas includes six subcortical nuclei: the striatum (STR), the globus pallidus internal and external segment (GPi/e), the subthalamic nucleus (STN), the substantia nigra (SN), and the red nucleus (RN). These probabilistic atlases are shared on freely available platforms such as NITRC and NeuroVault and are published in NeuroImage “Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI” [2]. Elsevier 2015-07-31 /pmc/articles/PMC4543077/ /pubmed/26322322 http://dx.doi.org/10.1016/j.dib.2015.07.028 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Keuken, Max C.
Forstmann, Birte U.
A probabilistic atlas of the basal ganglia using 7 T MRI
title A probabilistic atlas of the basal ganglia using 7 T MRI
title_full A probabilistic atlas of the basal ganglia using 7 T MRI
title_fullStr A probabilistic atlas of the basal ganglia using 7 T MRI
title_full_unstemmed A probabilistic atlas of the basal ganglia using 7 T MRI
title_short A probabilistic atlas of the basal ganglia using 7 T MRI
title_sort probabilistic atlas of the basal ganglia using 7 t mri
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4543077/
https://www.ncbi.nlm.nih.gov/pubmed/26322322
http://dx.doi.org/10.1016/j.dib.2015.07.028
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