Validation of a Novel Cortical Biomarker Signature for Pain

NCT ID: NCT04241562

Last Updated: 2023-04-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

159 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-11-04

Study Completion Date

2022-10-10

Brief Summary

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The study aims to undertake analytical validation of an brain biomarker in healthy participants experiencing a model of sustained temporomandibular pain. The biomarker could detect participants at greater risk of developing more severe pain.

Detailed Description

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Chronic pain is a major health burden associated with immense economic and social costs. Predictive biomarkers that can identify individuals at risk of developing severe and persistent pain, which is associated with worse disability and greater reliance on opioids, would promote aggressive, early intervention that could halt the transition to chronic pain. The investigative team has uncovered evidence of a unique cortical biomarker signature that predicts pain susceptibility (severity and duration). The biomarker signature combines resting state sensorimotor peak alpha frequency (PAF) measured using electroencephalograph (EEG) and corticomotor excitability (CME) measured using transcranial magnetic stimulation (TMS). This PAF/CME biomarker signature could be capable of predicting the severity of pain experienced by an individual minutes to months in the future, as well as the duration of pain (time to recovery). In the current study, the investigators aim to undertake analytical validation of this biomarker in healthy participants using a standardized model of the transition to sustained myofascial temporomandibular pain (masseter intramuscular injection of nerve growth factor). The investigators will record PAF/CME at multiple time points before and during the development of pain and use online diaries and in-laboratory assessments of pain, sleep, stress, and other psychosocial variables. Specifically, the investigators will test if the biomarker signature predicts an individual's pain sensitivity (high- or low-pain sensitive).

Conditions

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TMD

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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Injection of Nerve Growth Factor

Injection of Nerve Growth Factor to the right masseter

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* healthy

Exclusion Criteria

* unable or refusal to provide written consent
* presence of any acute pain disorder
* history or presence of any chronic pain disorder
* history or presence of any other medical or psychiatric compliant
* use of opioids or illicit drugs in the past 3 months
* pregnant or lactating women
* excessive alcohol use
* contraindicated for TMS (metal implants, epilepsy)
Minimum Eligible Age

18 Years

Maximum Eligible Age

44 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Neuroscience Research Australia

OTHER

Sponsor Role collaborator

University of Maryland, Baltimore

OTHER

Sponsor Role lead

Responsible Party

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David Seminowicz

Associate Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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David A Seminowicz, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Maryland School of Dentistry

Siobhan M Schabrun, PhD

Role: PRINCIPAL_INVESTIGATOR

Neuroscience Research Australia; University of New South Wales

Locations

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University of Maryland School of Dentistry

Baltimore, Maryland, United States

Site Status

Neuroscience Research Australia

Sydney, New South Wales, Australia

Site Status

Countries

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United States Australia

References

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Seminowicz DA, Bilska K, Chowdhury NS, Skippen P, Millard SK, Chiang AKI, Chen S, Furman AJ, Schabrun SM. A novel cortical biomarker signature for predicting pain sensitivity: protocol for the PREDICT longitudinal analytical validation study. Pain Rep. 2020 Jul 27;5(4):e833. doi: 10.1097/PR9.0000000000000833. eCollection 2020 Jul-Aug.

Reference Type DERIVED
PMID: 32766469 (View on PubMed)

Other Identifiers

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1R61NS113269-01

Identifier Type: NIH

Identifier Source: org_study_id

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