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

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

doi:10.1038/sdata.2014.54

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

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

School of Medicine

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

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.

Original language	English (US)
Article number	140054
Journal	Scientific Data
Volume	2
DOIs	https://doi.org/10.1038/sdata.2014.54
State	Published - Jan 20 2015

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

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10.1038/sdata.2014.54

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

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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AU - Gorgolewski, Krzysztof J.

AU - Mendes, Natacha

AU - Wilfling, Domenica

AU - Wladimirow, Elisabeth

AU - Gauthier, Claudine J.

AU - Bonnen, Tyler

AU - Ruby, Florence J.M.

AU - Trampel, Robert

AU - Bazin, Pierre Louis

AU - Cozatl, Roberto

AU - Smallwood, Jonathan

AU - Margulies, Daniel S.

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

Abstract

ASJC Scopus subject areas

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