Evidence map›Paper›PMID 34974114›Full record

ArticleNeuroImage2022

Layer-specific activation in human primary somatosensory cortex during tactile temporal prediction error processing.

Yinghua Yu, Laurentius Huber, Jiajia Yang, Masaki Fukunaga, Yuhui Chai, David C Jangraw, Gang Chen, Daniel A Handwerker, Peter J Molfese, Yoshimichi Ejima and 3 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 4 countries.

Yinghua YuGraduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama 700-8530, Japan; Section on Functional Imaging Methods, National Institute of Mental Health, Building 10, 10 Center Dr Bethesda, MD 20892, USA. Electronic address: yinghua.yyh@gmail.com.
Laurentius HuberMR-Methods Group, MBIC, Cognitive Neuroscience Department, Faculty of Psychology and Neuroscience, University of Maastricht, Cognitive Neuroscience, Room 1.014, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands.
Jiajia YangGraduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama 700-8530, Japan; Section on Functional Imaging Methods, National Institute of Mental Health, Building 10, 10 Center Dr Bethesda, MD 20892, USA.
Masaki FukunagaDivision of Cerebral Research, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki, Aichi, 444-8585 Japan.
Yuhui ChaiSection on Functional Imaging Methods, National Institute of Mental Health, Building 10, 10 Center Dr Bethesda, MD 20892, USA.
David C JangrawSection on Functional Imaging Methods, National Institute of Mental Health, Building 10, 10 Center Dr Bethesda, MD 20892, USA.
Gang ChenScientific and Statistical Computational Core, National Institute of Mental Health, Building 10, 10 Center Dr Bethesda, MD 20892, USA.
Daniel A HandwerkerSection on Functional Imaging Methods, National Institute of Mental Health, Building 10, 10 Center Dr Bethesda, MD 20892, USA.
Peter J MolfeseSection on Functional Imaging Methods, National Institute of Mental Health, Building 10, 10 Center Dr Bethesda, MD 20892, USA.
Yoshimichi EjimaGraduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama 700-8530, Japan.
Norihiro SadatoDivision of Cerebral Research, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki, Aichi, 444-8585 Japan.
Jinglong WuGraduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama 700-8530, Japan; Beijing Institute of Technology, 5 South Zhongguancun Street, Hiadian District, Beijing 100081, China.
Peter A BandettiniSection on Functional Imaging Methods, National Institute of Mental Health, Building 10, 10 Center Dr Bethesda, MD 20892, USA; Functional MRI Core Facility, National Institute of Mental Health, Building 10, 10 Center Dr Bethesda, MD 20892, USA.
National Institute of Mental Health · USOkayama University · JPNational Institute for Physiological Sciences · JPMaastricht University · NL

Funding

Functional MRI Method DevelopmentZIAMH002783 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BANDETTINI, PETER · 2009 to 2025
$38.4M
Scientific and Statistical Computing CoreZICMH002888 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI TAYLOR, PAUL · 2009 to 2025
$30.9M
Functional MRI Method DevelopmentZ01MH002783 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BANDETTINI, PETER A · 2002 to 2008
$5.7M
Intramural NIH HHS Z01 MH002783Intramural NIH HHS Z99 MH999999Intramural NIH HHS ZIA MH002783
6 · The paper itself

Abstract

The human brain continuously generates predictions of incoming sensory input and calculates corresponding prediction errors from the perceived inputs to update internal predictions. In human primary somatosensory cortex (area 3b), different cortical layers are involved in receiving the sensory input and generation of error signals. It remains unknown, however, how the layers in the human area 3b contribute to the temporal prediction error processing. To investigate prediction error representation in the area 3b across layers, we acquired layer-specific functional magnetic resonance imaging (fMRI) data at 7T from human area 3b during a task of index finger poking with no-delay, short-delay and long-delay touching sequences. We demonstrate that all three tasks increased activity in both superficial and deep layers of area 3b compared to the random sensory input. The fMRI signal was differentially modulated solely in the deep layers rather than the superficial layers of area 3b by the delay time. Compared with the no-delay stimuli, activity was greater in the deep layers of area 3b during the short-delay stimuli but lower during the long-delay stimuli. This difference activity features in the superficial and deep layers suggest distinct functional contributions of area 3b layers to tactile temporal prediction error processing. The functional segregation in area 3b across layers may reflect that the excitatory and inhibitory interplay in the sensory cortex contributions to flexible communication between cortical layers or between cortical areas.

Indexed as

Brain MappingTime PerceptionAdultFemaleFingersHealthy VolunteersHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleReproducibility of ResultsSensitivity and SpecificitySomatosensory CortexTouchHigh-resolution CBV–fMRILayer-specific fMRIPrimary somatosensory cortexTactile predictionTemporal prediction error

Identifiers

PMID34974114
PMCPMC11835052
OpenAlexW4200338751

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.