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A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie
Here we present a high-resolution functional magnetic resonance (fMRI) dataset – 20 participants recorded at high field strength (7 Tesla) during prolonged stimulation with an auditory feature film (“Forrest Gump”). In addition, a comprehensive set of auxiliary data (T1w, T2w, DTI, susceptibility-we...
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/PMC4322572/ https://www.ncbi.nlm.nih.gov/pubmed/25977761 http://dx.doi.org/10.1038/sdata.2014.3 |
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author | Hanke, Michael Baumgartner, Florian J. Ibe, Pierre Kaule, Falko R. Pollmann, Stefan Speck, Oliver Zinke, Wolf Stadler, Jörg |
author_facet | Hanke, Michael Baumgartner, Florian J. Ibe, Pierre Kaule, Falko R. Pollmann, Stefan Speck, Oliver Zinke, Wolf Stadler, Jörg |
author_sort | Hanke, Michael |
collection | PubMed |
description | Here we present a high-resolution functional magnetic resonance (fMRI) dataset – 20 participants recorded at high field strength (7 Tesla) during prolonged stimulation with an auditory feature film (“Forrest Gump”). In addition, a comprehensive set of auxiliary data (T1w, T2w, DTI, susceptibility-weighted image, angiography) as well as measurements to assess technical and physiological noise components have been acquired. An initial analysis confirms that these data can be used to study common and idiosyncratic brain response patterns to complex auditory stimulation. Among the potential uses of this dataset are the study of auditory attention and cognition, language and music perception, and social perception. The auxiliary measurements enable a large variety of additional analysis strategies that relate functional response patterns to structural properties of the brain. Alongside the acquired data, we provide source code and detailed information on all employed procedures – from stimulus creation to data analysis. In order to facilitate replicative and derived works, only free and open-source software was utilized. |
format | Online Article Text |
id | pubmed-4322572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-43225722015-05-14 A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie Hanke, Michael Baumgartner, Florian J. Ibe, Pierre Kaule, Falko R. Pollmann, Stefan Speck, Oliver Zinke, Wolf Stadler, Jörg Sci Data Data Descriptor Here we present a high-resolution functional magnetic resonance (fMRI) dataset – 20 participants recorded at high field strength (7 Tesla) during prolonged stimulation with an auditory feature film (“Forrest Gump”). In addition, a comprehensive set of auxiliary data (T1w, T2w, DTI, susceptibility-weighted image, angiography) as well as measurements to assess technical and physiological noise components have been acquired. An initial analysis confirms that these data can be used to study common and idiosyncratic brain response patterns to complex auditory stimulation. Among the potential uses of this dataset are the study of auditory attention and cognition, language and music perception, and social perception. The auxiliary measurements enable a large variety of additional analysis strategies that relate functional response patterns to structural properties of the brain. Alongside the acquired data, we provide source code and detailed information on all employed procedures – from stimulus creation to data analysis. In order to facilitate replicative and derived works, only free and open-source software was utilized. Nature Publishing Group 2014-05-27 /pmc/articles/PMC4322572/ /pubmed/25977761 http://dx.doi.org/10.1038/sdata.2014.3 Text en Copyright © 2014, Macmillan Publishers Limited http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported 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/3.0/. 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 Hanke, Michael Baumgartner, Florian J. Ibe, Pierre Kaule, Falko R. Pollmann, Stefan Speck, Oliver Zinke, Wolf Stadler, Jörg A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie |
title | A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie |
title_full | A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie |
title_fullStr | A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie |
title_full_unstemmed | A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie |
title_short | A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie |
title_sort | high-resolution 7-tesla fmri dataset from complex natural stimulation with an audio movie |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4322572/ https://www.ncbi.nlm.nih.gov/pubmed/25977761 http://dx.doi.org/10.1038/sdata.2014.3 |
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