Evidence map›Paper›PMID 31764389›Full record

ArticlePain2020

Brain signatures of threat-safety discrimination in adolescent chronic pain.

Lauren C Heathcote, Inge Timmers, Corey A Kronman, Farah Mahmud, J Maya Hernandez, Jason Bentley, Andrew M Youssef, Daniel S Pine, David Borsook, Laura E Simons

Abstract read
In one paragraph

Article in Pain, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Altered anterior insula functional connectivity in adolescent and young women with endometriosis-associated pain: Pilot resting-state fMRI study.European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. Article
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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

10 authors.

Lauren C HeathcoteDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Inge TimmersDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Corey A KronmanDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Farah MahmudCenter for Pain and the Brain, Massachusetts General Hospital, Boston Children's Hospital, McLean Hospital, Harvard Medical School, Boston, MA, United States.
J Maya HernandezDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Jason BentleyQuantitative Science Unit, Stanford University, Palo Alto, CA, United States.
Andrew M YoussefCenter for Pain and the Brain, Massachusetts General Hospital, Boston Children's Hospital, McLean Hospital, Harvard Medical School, Boston, MA, United States.
Daniel S PineSection on Development and Affective Neuroscience, National Institute of Mental Health Intramural Research Program, Bethesda, MD, United States.
David BorsookCenter for Pain and the Brain, Massachusetts General Hospital, Boston Children's Hospital, McLean Hospital, Harvard Medical School, Boston, MA, United States.
Laura E SimonsDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.

Funding

Fear learning in adolescents with chronic pain: Neural and behavioral mechanismsR01HD083270 · NICHD · STANFORD UNIVERSITY · PI SIMONS, LAURA E · 2016 to 2019
$2.4M
NICHD NIH HHS R01 HD083270
6 · The paper itself

Abstract

Approximately 1.7 million youth suffer from debilitating chronic pain in the US alone, conferring risk of continued pain in adulthood. Aberrations in threat-safety (T-S) discrimination are proposed to contribute to pain chronicity in adults and youth by interacting with pain-related distress. Yet, few studies have examined the neural circuitry underlying T-S discrimination in patients with chronic pain or how T-S discrimination relates to pain-related distress. In this study, 91 adolescents (10-24 years; 78 females) including 30 chronic pain patients with high pain-related distress, 29 chronic pain patients with low pain-related distress, and 32 healthy peers without chronic pain completed a developmentally appropriate T-S learning paradigm. We measured self-reported fear, psychophysiology (skin conductance response), and functional magnetic resonance imaging responses (N = 72 after functional magnetic resonance imaging exclusions). After controlling for age and anxiety symptoms, patients with high pain-related distress showed altered self-reported fear and frontolimbic activity in response to learned threat and safety cues compared with both patients with low pain-related distress and healthy controls. Specifically, adolescent patients with high pain-related distress reported elevated fear and showed elevated limbic (hippocampus and amygdala) activation in response to a learned threat cue (CS+). In addition, they showed decreased frontal (vmPFC) activation and aberrant frontolimbic connectivity in response to a learned safety cue (CS-). Patients with low pain-related distress and healthy controls appeared strikingly similar across brain and behavior. These findings indicate that altered T-S discrimination, mediated by frontolimbic activation and connectivity, may be one mechanism maintaining pain chronicity in adolescents with high levels of pain-related distress.

Indexed as

Discrimination LearningAdolescentAdolescent BehaviorBrainChildChronic PainFemaleHumansMaleNerve NetPain MeasurementSelf ReportYoung Adult

Identifiers

PMID31764389
PMCPMC7018610

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Registered trials

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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.