ID 58107
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Author
Yu, Yinghua Graduate School of Interdisciplinary Science and Engineering in Health Systems,Okayama University ORCID
Huber, Laurentius Section on Functional Imaging Methods, National Institute of Mental Health
Yang, Jiajia Graduate School of Interdisciplinary Science and Engineering in Health Systems,Okayama University
Jangraw, David C. Section on Functional Imaging Methods, National Institute of Mental Health
Handwerker, Daniel A. Section on Functional Imaging Methods, National Institute of Mental Health
Molfese, Peter J. Section on Functional Imaging Methods, National Institute of Mental Health
Chen, Gang Scientific and Statistical Computing Core, National Institute of Mental Health
Ejima, Yoshimichi Graduate School of Interdisciplinary Science and Engineering in Health Systems,Okayama University Kaken ID
Wu, Jinglong Graduate School of Interdisciplinary Science and Engineering in Health Systems,Okayama University
Bandettini, Peter A. Section on Functional Imaging Methods, National Institute of Mental Health
Abstract
When humans perceive a sensation, their brains integrate inputs from sensory receptors and process them based on their expectations. The mechanisms of this predictive coding in the human somatosensory system are not fully understood. We fill a basic gap in our understanding of the predictive processing of somatosensation by examining the layer-specific activity in sensory input and predictive feedback in the human primary somatosensory cortex (S1). We acquired submillimeter functional magnetic resonance imaging data at 7T (n = 10) during a task of perceived, predictable, and unpredictable touching sequences. We demonstrate that the sensory input from thalamic projects preferentially activates the middle layer, while the superficial and deep layers in S1 are more engaged for cortico-cortical predictive feedback input. These findings are pivotal to understanding the mechanisms of tactile prediction processing in the human somatosensory cortex.
Published Date
2019-05-01
Publication Title
Science Advances
Volume
volume5
Issue
issue5
Publisher
American Association for the Advancement of Science
Start Page
eaav9053
ISSN
2375-2548
Content Type
Journal Article
language
英語
OAI-PMH Set
岡山大学
Copyright Holders
© 2019 The Authors
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publisher
PubMed ID
DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.1126/sciadv.aav9053
License
http://creativecommons.org/licenses/by/4.0/
Funder Name
Japan Society for the Promotion of Science
助成番号
JP17J40084
JP18K15339
JP18H05009
JP17K18855