Evidence map›Paper›PMID 41404275›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Effects of childhood adversity on socially learned placebo analgesia in virtual reality: A cross-sectional study.

Lakota Watson, Yang Wang, Jewel N White, Roni Shafir, Giancarlo Colloca, Jonathan Michael Heagerty, Sida Li, Barbara Brawn, Amitabh Varshney, Shuo Chen and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Lakota WatsonDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore | Placebo Beyond Opinions Center, University of Maryland School of Nursing, Baltimore, MD, United States.ORCID 0000-0002-8456-3606
Yang WangDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore | Placebo Beyond Opinions Center, University of Maryland School of Nursing, Baltimore, MD, United States.
Jewel N WhiteDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore | Placebo Beyond Opinions Center, University of Maryland School of Nursing, Baltimore, MD, United States.ORCID 0000-0003-0047-2879
Roni ShafirDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore | Placebo Beyond Opinions Center, University of Maryland School of Nursing, Baltimore, MD, United States.
Giancarlo CollocaInformation Technology PhD Program, Towson University, Towson, United States.ORCID 0009-0002-5826-8256
Jonathan Michael HeagertyCollege of Computer, Mathematical, and Natural Sciences, University of Maryland College Park, College Park, MD, United States.ORCID 0009-0005-9761-0714
Sida LiCollege of Computer, Mathematical, and Natural Sciences, University of Maryland College Park, College Park, MD, United States.
Barbara BrawnCollege of Computer, Mathematical, and Natural Sciences, University of Maryland College Park, College Park, MD, United States.ORCID 0009-0004-6020-8409
Amitabh VarshneyCollege of Computer, Mathematical, and Natural Sciences, University of Maryland College Park, College Park, MD, United States.ORCID 0000-0002-9873-2212
Shuo ChenBiostatistics and Data Science, Maryland Psychiatric Research Center, School of Medicine, University of Maryland, Baltimore, US.
Luana CollocaDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore | Placebo Beyond Opinions Center, University of Maryland School of Nursing, 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
NCATS NIH HHS TL1 TR003100NCCIH NIH HHS R01 AT010333
6 · The paper itself

Abstract

Early life adversity (ELA), indexed through Adverse Childhood Experiences (ACEs), is associated with long-term alterations in emotion regulation, stress responsivity, and social learning-factors that may shape learned pain modulation. Social observation in immersive virtual environments offers a powerful way to investigate these mechanisms. To examine whether ELA influences social observation-induced placebo analgesia and empathy responses in immersive and non-immersive contexts. Adults with self-reported low versus high ACE exposure completed an observational learning task in immersive virtual reality (VR) or a non-immersive format. Participants observed Human or Avatar demonstrators experiencing pain relief and then underwent self-pain testing. Measures included socially induced placebo analgesia and affective and cognitive components of state empathy. Individuals with high ACE exposure showed stronger social observation-induced placebo analgesia, particularly within immersive VR. High ACE participants exhibited reduced affective state empathy, while cognitive empathy remained comparable to the low ACE group. Elevated ELA is unexpectedly associated with enhanced responsiveness to socially learned placebo analgesia, especially in immersive VR settings. These findings highlight how early adversity may shape sensitivity to socially transmitted treatment cues, with implications for the design of VR-based therapeutic interventions.

Indexed as

Adverse Childhood Experiences (ACE)Digital MedicineEarly Life Adversity (ELA)Observational LearningPain ModulationPlacebo AnalgesiaState Empathy

Identifiers

PMID41404275
PMCPMC12704645

What Socratic holds

Textmetadata
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 Socratic graph.