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

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作者
Krzysztof J Gorgolewski
Natacha Mendes
Domenica Wilfling
Elisabeth Wladimirow
Claudine J Gauthier
Tyler Bonnen
Florence J.M Ruby
Robert Trampel
Pierre-Louis Bazin
Roberto Cozatl
Jonathan Smallwood
Daniel S Margulies
机构
[1] Max Planck Research Group for Neuroanatomy and Connectivity,Department of Neurophysics
[2] Max Planck Institute for Human Cognitive and Brain Sciences,Department of Neurology
[3] Max Planck Institute for Human Cognitive and Brain Sciences,Department of Psychology
[4] Max Planck Institute for Human Cognitive and Brain Sciences,undefined
[5] Concordia University/PERFORM Center,undefined
[6] University of York,undefined
[7] Databases and IT Group,undefined
[8] Max Planck Institute for Human Cognitive and Brain Sciences,undefined
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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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