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

doi:10.1523/ENEURO.0429-19.2019

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 © 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

Ai Koizumi¹,²,³,
Minye Zhan⁴,
Hiroshi Ban¹,
Ikuhiro Kida¹,
Federico De Martino⁴,
Maarten J. Vaessen⁴,
Beatrice de Gelder⁴,⁵ and
Kaoru Amano¹

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
⁴Department of Cognitive Neuroscience, Maastricht University, 6229 EV Maastricht, The Netherlands
⁵Department of Computer Science, University College London, London WC1E 6EA, England

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

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designed research; A.K., M.Z., and F.D.M. performed research; A.K., M.Z., H.B., I.K., F.D.M., and M.J.V. contributed unpublished reagents/analytic tools; A.K., M.Z., H.B., F.D.M., B.d.G., and K.A. analyzed data; A.K., M.Z., H.B., I.K., F.D.M., M.J.V., B.d.G., and K.A. wrote the paper.

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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.).