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A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures
Here we present a test-retest dataset of functional magnetic resonance imaging (fMRI) data acquired at rest. 22 participants were scanned during two sessions spaced one week apart. Each session includes two 1.5 mm isotropic whole-brain scans and one 0.75 mm isotropic scan of the prefrontal cortex, g...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4412153/ https://www.ncbi.nlm.nih.gov/pubmed/25977805 http://dx.doi.org/10.1038/sdata.2014.54 |
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author | Gorgolewski, Krzysztof J Mendes, Natacha Wilfling, Domenica Wladimirow, Elisabeth Gauthier, Claudine J Bonnen, Tyler Ruby, Florence J.M Trampel, Robert Bazin, Pierre-Louis Cozatl, Roberto Smallwood, Jonathan Margulies, Daniel S |
author_facet | Gorgolewski, Krzysztof J Mendes, Natacha Wilfling, Domenica Wladimirow, Elisabeth Gauthier, Claudine J Bonnen, Tyler Ruby, Florence J.M Trampel, Robert Bazin, Pierre-Louis Cozatl, Roberto Smallwood, Jonathan Margulies, Daniel S |
author_sort | Gorgolewski, Krzysztof J |
collection | PubMed |
description | Here we present a test-retest dataset of functional magnetic resonance imaging (fMRI) data acquired at rest. 22 participants were scanned during two sessions spaced one week apart. Each session includes two 1.5 mm isotropic whole-brain scans and one 0.75 mm isotropic scan of the prefrontal cortex, giving a total of six time-points. Additionally, the dataset includes measures of mood, sustained attention, blood pressure, respiration, pulse, and the content of self-generated thoughts (mind wandering). This data enables the investigation of sources of both intra- and inter-session variability not only limited to physiological changes, but also including alterations in cognitive and affective states, at high spatial resolution. The dataset is accompanied by a detailed experimental protocol and source code of all stimuli used. |
format | Online Article Text |
id | pubmed-4412153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44121532015-05-14 A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures Gorgolewski, Krzysztof J Mendes, Natacha Wilfling, Domenica Wladimirow, Elisabeth Gauthier, Claudine J Bonnen, Tyler Ruby, Florence J.M Trampel, Robert Bazin, Pierre-Louis Cozatl, Roberto Smallwood, Jonathan Margulies, Daniel S Sci Data Data Descriptor Here we present a test-retest dataset of functional magnetic resonance imaging (fMRI) data acquired at rest. 22 participants were scanned during two sessions spaced one week apart. Each session includes two 1.5 mm isotropic whole-brain scans and one 0.75 mm isotropic scan of the prefrontal cortex, giving a total of six time-points. Additionally, the dataset includes measures of mood, sustained attention, blood pressure, respiration, pulse, and the content of self-generated thoughts (mind wandering). This data enables the investigation of sources of both intra- and inter-session variability not only limited to physiological changes, but also including alterations in cognitive and affective states, at high spatial resolution. The dataset is accompanied by a detailed experimental protocol and source code of all stimuli used. Nature Publishing Group 2015-01-20 /pmc/articles/PMC4412153/ /pubmed/25977805 http://dx.doi.org/10.1038/sdata.2014.54 Text en Copyright © 2015, 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 Gorgolewski, Krzysztof J Mendes, Natacha Wilfling, Domenica Wladimirow, Elisabeth Gauthier, Claudine J Bonnen, Tyler Ruby, Florence J.M Trampel, Robert Bazin, Pierre-Louis Cozatl, Roberto Smallwood, Jonathan Margulies, Daniel S A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures |
title | A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures |
title_full | A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures |
title_fullStr | A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures |
title_full_unstemmed | A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures |
title_short | A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures |
title_sort | high resolution 7-tesla resting-state fmri test-retest dataset with cognitive and physiological measures |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4412153/ https://www.ncbi.nlm.nih.gov/pubmed/25977805 http://dx.doi.org/10.1038/sdata.2014.54 |
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