Evidence map›Paper›PMID 33595765›Full record

ArticleJournal of computational neuroscience2021

Predictive coding models for pain perception.

Yuru Song, Mingchen Yao, Helen Kemprecos, Aine Byrne, Zhengdong Xiao, Qiaosheng Zhang, Amrita Singh, Jing Wang, Zhe S Chen

Abstract read
In one paragraph

Article in Journal of computational neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

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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

9 authors.

Yuru Song *Department of Psychiatry, New York University School of Medicine, New York, USA.
Mingchen Yao *Department of Psychiatry, New York University School of Medicine, New York, USA.ORCID http://orcid.org/0000-0002-2794-0014
Helen KemprecosDepartment of Biochemistry, New York University, New York, USA.
Aine ByrneCenter for Neural Science, New York University, New York, USA.ORCID http://orcid.org/0000-0002-8424-8710
Zhengdong XiaoDepartment of Psychiatry, New York University School of Medicine, New York, USA.
Qiaosheng ZhangDepartment of Anesthesiology, Pain and Operative Medicine, New York University School of Medicine, New York, USA.ORCID http://orcid.org/0000-0003-0485-3126
Amrita SinghDepartment of Anesthesiology, Pain and Operative Medicine, New York University School of Medicine, New York, USA.
Jing WangDepartment of Anesthesiology, Pain and Operative Medicine, New York University School of Medicine, New York, USA.ORCID http://orcid.org/0000-0003-1580-1356
Zhe S ChenDepartment of Psychiatry, New York University School of Medicine, New York, USA. zhe.chen@nyulangone.org.ORCID http://orcid.org/0000-0002-6483-6056

Funding

Central glutamate signaling in postoperative pain regulation - Revision - 1R01GM115384 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Jing Wang · 2015 to 2026
$5.4M
CRNS: An Integrative Study of Hippocampal-Neocortical Memory Coding during Sleep R01MH118928 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHEN, ZHE SAGE, WILSON, MATTHEW A · 2018 to 2022
$1.8M
CRCN: Dissecting Neural Circuits for Acute PainR01NS100065 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHEN, ZHE SAGE, WANG, JING · 2016 to 2019
$1.5M
Training a new generation of computational neuroscientists bridging neurobiologyR90DA043849 · NIDA · NEW YORK UNIVERSITY · PI MA, WEI JI, WANG, XIAO-JING · 2016 to 2020
$926k
Training a new generation of computational neuroscientists bridging neurobiology and cognitionT90DA043219 · NIDA · NEW YORK UNIVERSITY · PI MA, WEI JI, WANG, XIAO-JING · 2016 to 2020
$615k
NIDA NIH HHS R90 DA043849NIDA NIH HHS T90 DA043219NIGMS NIH HHS R01 GM115384NIMH NIH HHS R01 MH118928NINDS NIH HHS R01 NS100065
6 · The paper itself

Abstract

Pain is a complex, multidimensional experience that involves dynamic interactions between sensory-discriminative and affective-emotional processes. Pain experiences have a high degree of variability depending on their context and prior anticipation. Viewing pain perception as a perceptual inference problem, we propose a predictive coding paradigm to characterize evoked and non-evoked pain. We record the local field potentials (LFPs) from the primary somatosensory cortex (S1) and the anterior cingulate cortex (ACC) of freely behaving rats-two regions known to encode the sensory-discriminative and affective-emotional aspects of pain, respectively. We further use predictive coding to investigate the temporal coordination of oscillatory activity between the S1 and ACC. Specifically, we develop a phenomenological predictive coding model to describe the macroscopic dynamics of bottom-up and top-down activity. Supported by recent experimental data, we also develop a biophysical neural mass model to describe the mesoscopic neural dynamics in the S1 and ACC populations, in both naive and chronic pain-treated animals. Our proposed predictive coding models not only replicate important experimental findings, but also provide new prediction about the impact of the model parameters on the physiological or behavioral read-out-thereby yielding mechanistic insight into the uncertainty of expectation, placebo or nocebo effect, and chronic pain.

Indexed as

Models, NeurologicalPain PerceptionAnimalsGyrus CinguliPainRatsRats, Sprague-DawleySomatosensory CortexAnterior cingulate cortexChronic painMean field modelPain perceptionPlaceboPredictive codingSomatosensory cortex

Identifiers

PMID33595765
PMCPMC8046732

What OpenQuestion holds

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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.