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Journal Article

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

MPS-Authors
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Gorgolewski,  Krzysztof J.
Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Mendes,  Natacha
Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Wilfling,  Domenica
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Wladimirow,  Elisabeth
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Gauthier,  Claudine
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
PERFORM Center, Concordia University, Montréal, QC, Canada;

Bonnen,  Tyler
Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Trampel,  Robert
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Bazin,  Pierre-Louis
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Cozatl,  Roberto
MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Margulies,  Daniel S.
Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Gorgolewski_Mendes_2015.pdf
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Citation

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.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0028-DCA6-D
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.