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  A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures

Gorgolewski, K. J., Mendes, N., Wilfling, D., Wladimirow, E., Gauthier, C., Bonnen, T., et al. (2015). A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures. Scientific Data, 2: 140054. doi:10.1038/sdata.2014.54.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-DCA6-D Version Permalink: https://hdl.handle.net/21.11116/0000-0003-788D-8
Genre: Journal Article

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 Creators:
Gorgolewski, Krzysztof J.1, Author           
Mendes, Natacha1, Author           
Wilfling, Domenica2, Author
Wladimirow, Elisabeth2, Author
Gauthier, Claudine3, 4, Author           
Bonnen, Tyler1, Author
Ruby, Florence J.M5, Author
Trampel, Robert2, Author           
Bazin, Pierre-Louis2, 3, Author           
Cozatl, Roberto6, Author           
Smallwood, Jonathan5, Author           
Margulies, Daniel S.1, Author           
Affiliations:
1Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              
2Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634549              
4PERFORM Center, Concordia University, Montréal, QC, Canada, ou_persistent22              
5Department of Psychology, University of York, Heslington, United Kingdom, ou_persistent22              
6MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634548              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2014-08-292014-10-292015-01-20
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/sdata.2014.54
PMID: 25977805
PMC: PMC4412153
Other: eCollection 2015
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Title: Scientific Data
Source Genre: Journal
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Publ. Info: London, United Kingdom : Nature Publishing Group
Pages: - Volume / Issue: 2 Sequence Number: 140054 Start / End Page: - Identifier: Other: 2052-4463
CoNE: https://pure.mpg.de/cone/journals/resource/2052-4463