Multi-resolution 7T fMRI data on the representation of visual orientation
Dataset Description
This dataset consists of empirical ultra high-field fMRI data recorded at four
spatial resolutions (0.8 mm, 1.4 mm, 2 mm, and 3 mm isotropic voxel size) for
orientation decoding in visual cortex — in order to test hypotheses on the
strength and spatial scale of orientation discriminating signals. This is an
extension of the studyforrest project. All seven participants previously
volunteered for the audio-only and the audio-visual Forrest Gump study. The
dataset is compliant with the BIDS data description standard
(http://bids.neuroimaging.io). A detailed description can be found in:
Sengupta, A., Yakupov, R., Speck, O., Pollmann, S., Hanke, M. Ultra
High-Field (7 Tesla) multi-resolution fMRI data on the representation
of visual orientation. Data in Brief (submitted)
For more information about the project visit: http://studyforrest.org
Alternative Data Access
This dataset may also be accessed using git/git-annex. Please refer to the github project page: studyforrest-data-multires7t for more information.
Investigators:
- Michael Hanke
- Stefan Pollmann
- Oliver Speck
- Renat Yakupov
- Ayan Sengupta
Acknowledgements and Funding:
Only open-source research software was employed in this study. We thank their respective authors for making it publicly available. Please follow good scientific practice by citing the associated data descriptor: Sengupta et al. (2016), Data in Brief This research was supported by a grant from the German Research Foundation (DFG) awarded to S. Pollmann and O. Speck (DFG PO 548/15-1). This research was, in part, also supported by the German Federal Ministry of Education and Research (BMBF) as part of a US-German collaboration in computational neuroscience (CRCNS), co-funded by the BMBF and the US National Science Foundation (BMBF 01GQ1112; NSF 1129855). Work on the data-sharing technology employed for this research was supported by US-German CRCNS project, co-funded by the BMBF and the US National Science Foundation (BMBF 01GQ1411; NSF 1429999).
Sample Size:
7
Scanner Type:
Siemens 7T
License:
Accession Number:
ds000113c
How to cite this dataset:
In addition to any citation requirements in the dataset summary please use the following to cite this dataset:
This data was obtained from the OpenfMRI database. Its accession number is ds000113c
Curated:
Yes
Browse Data For All Revisions on S3
Direct Links to data:
Revision: 1.0.0 Date Set: May 20, 2016, 3:04 p.m.
Notes:
Initial Publishing.