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Research ArticleNew Research, Cognition and Behavior

Threat Anticipation in Pulvinar and in Superficial Layers of Primary Visual Cortex (V1). Evidence from Layer-Specific Ultra-High Field 7T fMRI

Ai Koizumi, Minye Zhan, Hiroshi Ban, Ikuhiro Kida, Federico De Martino, Maarten J. Vaessen, Beatrice de Gelder and Kaoru Amano
eNeuro 6 November 2019, 6 (6) ENEURO.0429-19.2019; DOI: https://doi.org/10.1523/ENEURO.0429-19.2019
Ai Koizumi
1Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT) and Osaka University, Osaka 565-0871, Japan
2Sony Computer Science Laboratories, Inc, Tokyo, 141-0022, Japan
3Graduate School of Media and Governance, Keio University, Kanagawa 252-0882, Japan
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Minye Zhan
4Department of Cognitive Neuroscience, Maastricht University, 6229 EV Maastricht, The Netherlands
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Hiroshi Ban
1Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT) and Osaka University, Osaka 565-0871, Japan
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Ikuhiro Kida
1Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT) and Osaka University, Osaka 565-0871, Japan
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Federico De Martino
4Department of Cognitive Neuroscience, Maastricht University, 6229 EV Maastricht, The Netherlands
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Maarten J. Vaessen
4Department of Cognitive Neuroscience, Maastricht University, 6229 EV Maastricht, The Netherlands
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Beatrice de Gelder
4Department of Cognitive Neuroscience, Maastricht University, 6229 EV Maastricht, The Netherlands
5Department of Computer Science, University College London, London WC1E 6EA, England
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Kaoru Amano
1Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT) and Osaka University, Osaka 565-0871, Japan
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0429-19.2019
PubMed 
31694815
Published By 
Society for Neuroscience
History 
  • Received October 14, 2019
  • Accepted October 17, 2019
  • Published online November 6, 2019.
Copyright & Usage 
Copyright © 2019 Koizumi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Ai Koizumi1,2,3,
  2. Minye Zhan4,
  3. Hiroshi Ban1,
  4. Ikuhiro Kida1,
  5. Federico De Martino4,
  6. Maarten J. Vaessen4,
  7. Beatrice de Gelder4,5 and
  8. Kaoru Amano1
  1. 1Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT) and Osaka University, Osaka 565-0871, Japan
  2. 2Sony Computer Science Laboratories, Inc, Tokyo, 141-0022, Japan
  3. 3Graduate School of Media and Governance, Keio University, Kanagawa 252-0882, Japan
  4. 4Department of Cognitive Neuroscience, Maastricht University, 6229 EV Maastricht, The Netherlands
  5. 5Department of Computer Science, University College London, London WC1E 6EA, England
  1. Correspondence should be addressed to Ai Koizumi at bellkoizumi{at}gmail.com or Beatrice de Gelder at b.degelder{at}maastrichtuniversity.nl.
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Author contributions

  1. Author contributions: A.K., B.d.G., and K.A. designed research; A.K., M.Z., and F.D.M. performed research; A.K., M.Z., H.B., I.K., F.D.M., and M.J.V. contributed unpublished reagents/analytic tools; A.K., M.Z., H.B., F.D.M., B.d.G., and K.A. analyzed data; A.K., M.Z., H.B., I.K., F.D.M., M.J.V., B.d.G., and K.A. wrote the paper.

Disclosures

  • The authors declare no competing financial interests.

  • This work was supported by a European Research Council grant under the European 512 Union Seventh Framework Program for Research 2007–2013 (Grant Agreement 513 295673); European Union’s Horizon 2020 Research and Innovation Program under grant 514 Agreement 645553; Information and Communication Technologies DANCE (Innovation Action, 2015-2017); incentive grant of National Institute of Information and Communications Technology, Japan, Japan Society for the Promotion of Science KAKENHI Grants 16K21687 and 18H02714 (to A.K.); and the Exploratory Research for Advanced Technology Grant JPMJER1801 (to H.B.).

Funding

  • EC | European Research Council (ERC)

    513 295673
  • European Union's Horizon

    645553
  • National Institute of Information and Communications Technology (NICT)

    NA
  • Japan Society for the Promotion of Science (JSPS)

    16K21687; 18H02714

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Threat Anticipation in Pulvinar and in Superficial Layers of Primary Visual Cortex (V1). Evidence from Layer-Specific Ultra-High Field 7T fMRI
Ai Koizumi, Minye Zhan, Hiroshi Ban, Ikuhiro Kida, Federico De Martino, Maarten J. Vaessen, Beatrice de Gelder, Kaoru Amano
eNeuro 6 November 2019, 6 (6) ENEURO.0429-19.2019; DOI: 10.1523/ENEURO.0429-19.2019

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Threat Anticipation in Pulvinar and in Superficial Layers of Primary Visual Cortex (V1). Evidence from Layer-Specific Ultra-High Field 7T fMRI
Ai Koizumi, Minye Zhan, Hiroshi Ban, Ikuhiro Kida, Federico De Martino, Maarten J. Vaessen, Beatrice de Gelder, Kaoru Amano
eNeuro 6 November 2019, 6 (6) ENEURO.0429-19.2019; DOI: 10.1523/ENEURO.0429-19.2019
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Keywords

  • 7 tesla fMRI
  • fearful face
  • pulvinar
  • threat perception
  • V1 cortical layer

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