ID | 58107 |
FullText URL | |
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
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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.
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Published Date | 2019-05-01
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Publication Title |
Science Advances
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Volume | volume5
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Issue | issue5
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Publisher | American Association for the Advancement of Science
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Start Page | eaav9053
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ISSN | 2375-2548
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Content Type |
Journal Article
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language |
English
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OAI-PMH Set |
岡山大学
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Copyright Holders | © 2019 The Authors
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File Version | publisher
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PubMed ID | |
DOI | |
Web of Science KeyUT | |
Related Url | isVersionOf https://doi.org/10.1126/sciadv.aav9053
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License | http://creativecommons.org/licenses/by/4.0/
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Funder Name |
Japan Society for the Promotion of Science
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助成番号 | JP17J40084
JP18K15339
JP18H05009
JP17K18855
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