High-resolution 7-Tesla fMRI data on the perception of musical genres

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Abstract/Contents

Abstract: This is an extension to the studyforrest dataset (http://studyforrest.org, see also ds113). This release adds more high-resolution, ultra high-field (7 Tesla) fMRI data from the same individuals. The twenty participants were repeatedly stimulated with a total of 25 music clips, with and without speech content, from five different genres using a slow event-related paradigm. The data release includes raw fMRI data, as well as pre-computed structural alignments for within-subject and group analysis. In addition to fMRI, simultaneously recorded cardiac and respiratory traces, as well the complete implementation of the stimulation paradigm, including stimuli, and extracted auditory features are provided.

Location	https://purl.stanford.edu/vb917sg2499

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License: This work is licensed under an Open Data Commons Public Domain Dedication & License 1.0.

Preferred Citation: Hanke, Michael; Dinga, Richard; Häusler, Christian; Guntupalli, J. Swaroop; Casey, Michael; Kaule, Falko R.; Stadler, Jörg. (2014). High-resolution 7-Tesla fMRI data on the perception of musical genres. Stanford Digital Repository. Available at: http://purl.stanford.edu/vb917sg2499 and https://openfmri.org/dataset/ds000113b/

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