Evidence map›Paper›PMID 31349067›Full record

ArticleNeuroImage2019

Identifying inter-individual differences in pain threshold using brain connectome: a test-retest reproducible study.

Yiheng Tu, Binlong Zhang, Jin Cao, Georgia Wilson, Zhiguo Zhang, Jian Kong

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 45 citations in OpenAlex.

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  6. Targeting Prefrontal Cortex Dysfunction in Pain.The Journal of pharmacology and experimental therapeutics · 2024
    Review
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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

6 authors at 3 institutions in 2 countries.

Yiheng TuDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Binlong ZhangDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Jin CaoDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Georgia WilsonDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Zhiguo ZhangSchool of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
Jian KongDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA. Electronic address: jkong2@mgh.harvard.edu.
Massachusetts General Hospital · USHarvard University · USShenzhen University Health Science Center · CN

Funding

Neuromodulation of placebo and nocebo effectsR01AT008563 · NCCIH · MASSACHUSETTS GENERAL HOSPITAL · PI KONG, JIAN · 2015 to 2019
$3.9M
Modulation effects of imagined acupuncture and no touch placebo acupunctureR33AT009310 · NCCIH · MASSACHUSETTS GENERAL HOSPITAL · PI KONG, JIAN · 2018 to 2021
$2.7M
Mechanistic Studies on video guided acupuncture imagery treatment of painR61AT009310 · NCCIH · MASSACHUSETTS GENERAL HOSPITAL · PI KONG, JIAN · 2016 to 2017
$845k
Neural dynamics of directly and indirectly conditioned placebo/nocebo effectR21AT008707 · NCCIH · MASSACHUSETTS GENERAL HOSPITAL · PI KONG, JIAN · 2016 to 2017
$479k
NCCIH NIH HHS R01 AT008563NCCIH NIH HHS R21 AT008707NCCIH NIH HHS R33 AT009310NCCIH NIH HHS R61 AT009310
6 · The paper itself

Abstract

Individuals are unique in terms of brain and behavior. Some are very sensitive to pain, while others have a high tolerance. However, how inter-individual intrinsic differences in the brain are related to pain is unknown. Here, we performed longitudinal test-retest analyses to investigate pain threshold variability among individuals using a resting-state fMRI brain connectome. Twenty-four healthy subjects who received four MRI sessions separated by at least 7 days were included in the data analysis. Subjects' pain thresholds were measured using two modalities of experimental pain (heat and pressure) on two different locations (heat pain: leg and arm; pressure pain: leg and thumbnail). Behavioral results showed strong inter-individual variability and strong within-individual stability in pain threshold. Resting state fMRI data analyses showed that functional connectivity profiles can accurately identify subjects across four sessions, indicating that an individual's connectivity profile may be intrinsic and unique. By using multivariate pattern analyses, we found that connectivity profiles could be used to predict an individual's pain threshold at both within-session and between-session levels, with the most predictive contribution from medial-frontal and frontal-parietal networks. These results demonstrate the potential of using a resting-state fMRI brain connectome to build a 'neural trait' for characterizing an individual's pain-related behavior, and such a 'neural trait' may eventually be used to personalize clinical assessments.

Indexed as

Biological Variation, IndividualIndividualityAdultBrainConnectomeFemaleHumansMagnetic Resonance ImagingMaleNerve NetPain MeasurementPain ThresholdReproducibility of ResultsYoung AdultfMRI brain connectomeInter-individual variabilityNeural traitPain thresholdWithin-individual stability

Identifiers

PMID31349067
PMCPMC6819259
OpenAlexW2963726561

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.