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1000 Titel
  • Ultra high-field (7 T) multi-resolution fMRI data for orientation decoding in visual cortex
1000 Autor/in
  1. Sengupta, Ayan |
  2. Yakupov, Renat |
  3. Speck, Oliver |
  4. Pollmann, Stefan |
  5. Hanke, Michael |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-05-24
1000 Erschienen in
1000 Quellenangabe
  • 13: 219-222
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.dib.2017.05.014 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459569/ |
1000 Ergänzendes Material
  • http://www.sciencedirect.com/science/article/pii/S2352340917302056?via%3Dihub#s0025 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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 BIDS (Brain Imaging Data Structure) format, and freely available from the OpenfMRI portal (dataset accession number: http://openfmri.org/dataset/ds000113c ds000113c).
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/U2VuZ3VwdGEsIEF5YW4=|https://frl.publisso.de/adhoc/creator/WWFrdXBvdiwgUmVuYXQ=|http://orcid.org/0000-0002-6019-5597|https://frl.publisso.de/adhoc/creator/UG9sbG1hbm4sIFN0ZWZhbg==|https://frl.publisso.de/adhoc/creator/SGFua2UsIE1pY2hhZWw=
1000 Label
1000 Förderer
  1. German Research Foundation (DFG) |
  2. German Federal State of Saxony-Anhalt |
  3. Center for Behavioral Brain Sciences |
1000 Fördernummer
  1. DFG PO 548/15-1
  2. -
  3. -
1000 Förderprogramm
  1. -
  2. -
  3. European Regional Development Fund (ERDF)
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer German Research Foundation (DFG) |
    1000 Förderprogramm -
    1000 Fördernummer DFG PO 548/15-1
  2. 1000 joinedFunding-child
    1000 Förderer German Federal State of Saxony-Anhalt |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Center for Behavioral Brain Sciences |
    1000 Förderprogramm European Regional Development Fund (ERDF)
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6405189.rdf
1000 Erstellt am 2017-10-25T15:09:48.885+0200
1000 Erstellt von 25
1000 beschreibt frl:6405189
1000 Bearbeitet von 288
1000 Zuletzt bearbeitet Wed Mar 31 09:17:33 CEST 2021
1000 Objekt bearb. Wed Mar 31 09:17:33 CEST 2021
1000 Vgl. frl:6405189
1000 Oai Id
  1. oai:frl.publisso.de:frl:6405189 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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