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Sengupta A, Yakupov R, Speck O, et al. Ultra high-field (7 T) multi-resolution fMRI data for orientation decoding in visual cortex. Data Brief. 2017;13:219-222doi: 10.1016/j.dib.2017.05.014.
Sengupta, A., Yakupov, R., Speck, O., Pollmann, S., & Hanke, M. (2017). Ultra high-field (7 T) multi-resolution fMRI data for orientation decoding in visual cortex. Data in brief, 13219-222. https://doi.org/10.1016/j.dib.2017.05.014
Sengupta, Ayan, et al. "Ultra high-field (7 T) multi-resolution fMRI data for orientation decoding in visual cortex." Data in brief vol. 13 (2017): 219-222. doi: https://doi.org/10.1016/j.dib.2017.05.014
Sengupta A, Yakupov R, Speck O, Pollmann S, Hanke M. Ultra high-field (7 T) multi-resolution fMRI data for orientation decoding in visual cortex. Data Brief. 2017 May 24;13:219-222. doi: 10.1016/j.dib.2017.05.014. eCollection 2017 Aug. PMID: 28616455; PMCID: PMC5459569.
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Data Brief. 2017 May 24;13:219-222. doi: 10.1016/j.dib.2017.05.014. eCollection 2017 Aug.

Ultra high-field (7 T) multi-resolution fMRI data for orientation decoding in visual cortex.

Data in brief

Ayan Sengupta, Renat Yakupov, Oliver Speck, Stefan Pollmann, Michael Hanke

Affiliations

  1. Department of Experimental Psychology, Institute of Psychology II, Otto-von-Guericke University, Universitätsplatz 2, 39016 Magdeburg, Germany.
  2. Psychoinformatics lab, Institute of Psychology II, Otto-von-Guericke University, Universitätsplatz 2, 39016 Magdeburg, Germany.
  3. Sir Peter Mansfield Imaging Centre, School of Physics & Astronomy, University of Nottingham, UK.
  4. Department of Biomedical Magnetic Resonance, Institute for Experimental Physics, Otto-von-Guericke University, Leipziger Str. 44, 39120 Magdeburg, Germany.
  5. Center for Behavioral Brain Sciences, Universitätsplatz 2, 39016 Magdeburg, Germany.
  6. Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118 Magdeburg, Germany.
  7. German Center for Neurodegenerative Disease (DZNE), site Magdeburg, Leipziger Straße 44, Germany.

PMID: 28616455 PMCID: PMC5459569 DOI: 10.1016/j.dib.2017.05.014

Abstract

Multivariate pattern classification methods have been successfully applied to decode orientation of visual grating stimuli from BOLD fMRI activity recorded in human visual cortex (Kamitani and Tong, 2005; Haynes and Rees, 2005) [12], [10]. Though there has been extensive research investigating the true spatial scale of the orientation specific signals (Op de Beeck, 2010; Swisher et al., 2010; Alink et al., 2013; Freeman et al., 2011, 2013) [2], [15], [1], [4], [5], it remained inconclusive what spatial acquisition resolution is required, or is optimal, for decoding analyses. The research article entitled "The effect of acquisition resolution on orientation decoding from V1 BOLD fMRI at 7 T" Sengupta et al. (2017) [14] studied the effect of spatial acquisition resolution and also analyzed the strength and spatial scale of orientation discriminating signals. In this article, for the first time, we present empirical ultra high-field fMRI data, obtained as a part of the aforementioned study, which were 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. The dataset is compliant with the

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