Evidence map›Paper›PMID 41494156›Full record

ArticlePain2026

Clinical pain increased with older brain age, yet placebo effects were preserved.

Rachel L Cundiff-O'Sullivan, Yang Wang, Jerry Li, Timur H Latypov, Shuo Chen, Mojgan Hodaie, Luana Colloca

Abstract read
In one paragraph

Article in Pain, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Rachel L Cundiff-O'SullivanProgram in Neuroscience, Graduate Program in Life Sciences, University of Maryland, Baltimore, MD, United States.
Yang WangDepartment of Pain and Translational Symptom Sciences, School of Nursing, University of Maryland, Baltimore, MD, United States.
Jerry LiInstitute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Timur H LatypovInstitute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Shuo ChenSchool of Medicine, University of Maryland, Baltimore, MD, United States.
Mojgan HodaieInstitute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Luana CollocaDepartment of Pain and Translational Symptom Sciences, School of Nursing, University of Maryland, Baltimore, MD, United States.ORCID 0000-0002-6503-4709

Funding

NRSA Training CoreTL1TR003100 · NCATS · JOHNS HOPKINS UNIVERSITY · PI SAHA, SOMNATH · 2019 to 2023
$4.5M
Neural correlates of hypoalgesia driven by observationR01AT010333 · NCCIH · UNIVERSITY OF MARYLAND BALTIMORE · PI COLLOCA, LUANA · 2019 to 2023
$3.7M
Neural Mechanisms of Immersive Virtual Reality in Chronic PainR01AT011347 · NCCIH · UNIVERSITY OF MARYLAND BALTIMORE · PI Luana Colloca · 2021 to 2026
$3.2M
Chronic orofacial pain: genetics, cognitive-emotional factors, and endogenous modulatory systemsR01DE025946 · NIDCR · UNIVERSITY OF MARYLAND BALTIMORE · PI COLLOCA, LUANA · 2016 to 2019
$2.1M
Canadian Graduate Scholarship Master's ProgramNCATS NIH HHS TL1 TR003100NCCIH NIH HHS R01 AT010333NCCIH NIH HHS R01 AT011347NIDCR NIH HHS R01 DE025946NIDCR NIH HHS R01DE025946
6 · The paper itself

Abstract

abstractChronic pain is linked to accelerated brain aging, often measured through the brain-age gap (BAG), the difference between chronological age and neuroimaging-derived brain age. Whether endogenous pain modulation declines with brain aging remains unknown. We tested this in participants with temporomandibular disorder (TMD) in a cross-sectional study with 84 TMD participants and 84 age- and sex-matched healthy controls (HCs) from the Cambridge Centre for Ageing and Neuroscience database. Temporomandibular disorder participants completed the Graded Chronic Pain Scale and a placebo procedure combining verbal suggestion and classical conditioning. We estimated brain age using machine-learning and deep-learning approaches: a previously published Gaussian process regression (GPR) model trained on cortical thickness features, and a convolutional neural network (CNN) trained end-to-end on T1-weighted volumes. The brain-age gap was calculated as the difference between the estimated brain age and chronological age. Using both GPR and CNN models, we found that TMD participants exhibited an older estimated brain age compared with HCs. Higher estimated brain age was associated with greater pain severity and statistically mediated the link between chronological age and pain severity. In addition, the CNN model suggested that older brain age was associated with greater pain interference and a higher likelihood of experiencing high-impact pain, controlling for sex and race. However, neither estimated brain age nor BAG influenced the magnitude of placebo effects. These findings suggest that while older brain age is associated with greater chronic pain severity and interference, placebo effects remain robust despite age-related changes in the brain, highlighting the therapeutic potential of placebo effects for older adults living with chronic pain.

Indexed as

AgingBrainChronic PainPlacebo EffectTemporomandibular Joint DisordersAdultAgedCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPain MeasurementYoung AdultBrain-age gapConvolutional neural networkEndogenous pain modulationGaussian process regressionPain interferencePain severity

Identifiers

PMID41494156
PMCPMC13198175

What OpenQuestion holds

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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.