A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures
Krzysztof J. Gorgolewski and Natacha Mendes and Domenica Wilfling and Elisabeth Wladimirow and Claudine J. Gauthier and Tyler Bonnen and Robert Trampel and Pierre-Louis Bazin and Roberto Cozatl and Florence J. M. Ruby and Jonathan Smallwood and Daniel S.

@article{,
title= {A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures},
journal= {},
author= {Krzysztof J. Gorgolewski and Natacha Mendes and Domenica Wilfling and Elisabeth Wladimirow and Claudine J. Gauthier and Tyler Bonnen and Robert Trampel and Pierre-Louis Bazin and Roberto Cozatl and Florence J. M. Ruby and Jonathan Smallwood  and Daniel S. Margulies},
year= {2014},
url= {},
license= {CC0},
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 timepoints. 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. Please subscribe to http://groups.google.com/group/7t_trt for important annoucements. More information at http://dx.doi.org/10.1101/008706.},
keywords= {fMRI, resting state, human, brain},
terms= {},
superseded= {}
}