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Multi-modal ultra-high resolution structural 7-Tesla MRI data repository
Structural brain data is key for the understanding of brain function and networks, i.e., connectomics. Here we present data sets available from the ‘atlasing of the basal ganglia (ATAG)’ project, which provides ultra-high resolution 7 Tesla (T) magnetic resonance imaging (MRI) scans from young, midd...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4421933/ https://www.ncbi.nlm.nih.gov/pubmed/25977801 http://dx.doi.org/10.1038/sdata.2014.50 |
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author | Forstmann, Birte U Keuken, Max C Schafer, Andreas Bazin, Pierre-Louis Alkemade, Anneke Turner, Robert |
author_facet | Forstmann, Birte U Keuken, Max C Schafer, Andreas Bazin, Pierre-Louis Alkemade, Anneke Turner, Robert |
author_sort | Forstmann, Birte U |
collection | PubMed |
description | Structural brain data is key for the understanding of brain function and networks, i.e., connectomics. Here we present data sets available from the ‘atlasing of the basal ganglia (ATAG)’ project, which provides ultra-high resolution 7 Tesla (T) magnetic resonance imaging (MRI) scans from young, middle-aged, and elderly participants. The ATAG data set includes whole-brain and reduced field-of-view MP2RAGE and T2*-weighted scans of the subcortex and brainstem with ultra-high resolution at a sub-millimeter scale. The data can be used to develop new algorithms that help building high-resolution atlases both relevant for the basic and clinical neurosciences. Importantly, the present data repository may also be used to inform the exact positioning of electrodes used for deep-brain-stimulation in patients with Parkinson’s disease and neuropsychiatric diseases. |
format | Online Article Text |
id | pubmed-4421933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44219332015-05-14 Multi-modal ultra-high resolution structural 7-Tesla MRI data repository Forstmann, Birte U Keuken, Max C Schafer, Andreas Bazin, Pierre-Louis Alkemade, Anneke Turner, Robert Sci Data Data Descriptor Structural brain data is key for the understanding of brain function and networks, i.e., connectomics. Here we present data sets available from the ‘atlasing of the basal ganglia (ATAG)’ project, which provides ultra-high resolution 7 Tesla (T) magnetic resonance imaging (MRI) scans from young, middle-aged, and elderly participants. The ATAG data set includes whole-brain and reduced field-of-view MP2RAGE and T2*-weighted scans of the subcortex and brainstem with ultra-high resolution at a sub-millimeter scale. The data can be used to develop new algorithms that help building high-resolution atlases both relevant for the basic and clinical neurosciences. Importantly, the present data repository may also be used to inform the exact positioning of electrodes used for deep-brain-stimulation in patients with Parkinson’s disease and neuropsychiatric diseases. Nature Publishing Group 2014-12-09 /pmc/articles/PMC4421933/ /pubmed/25977801 http://dx.doi.org/10.1038/sdata.2014.50 Text en Copyright © 2014, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Forstmann, Birte U Keuken, Max C Schafer, Andreas Bazin, Pierre-Louis Alkemade, Anneke Turner, Robert Multi-modal ultra-high resolution structural 7-Tesla MRI data repository |
title | Multi-modal ultra-high resolution structural 7-Tesla MRI data repository |
title_full | Multi-modal ultra-high resolution structural 7-Tesla MRI data repository |
title_fullStr | Multi-modal ultra-high resolution structural 7-Tesla MRI data repository |
title_full_unstemmed | Multi-modal ultra-high resolution structural 7-Tesla MRI data repository |
title_short | Multi-modal ultra-high resolution structural 7-Tesla MRI data repository |
title_sort | multi-modal ultra-high resolution structural 7-tesla mri data repository |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4421933/ https://www.ncbi.nlm.nih.gov/pubmed/25977801 http://dx.doi.org/10.1038/sdata.2014.50 |
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