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| Name | Class |
|---|---|
| Neuroscience Research Australia | OTHER |
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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.
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).
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Injection of Nerve Growth Factor | Other | Injection of Nerve Growth Factor to the right masseter |
| Measure | Description | Time Frame |
|---|---|---|
| Peak pain intensity from diary ratings | Pain sensitivity | 0 to 30 days following NGF injection |
| Measure | Description | Time Frame |
|---|---|---|
| Average Peak daily pain intensity from from diary ratings | Pain severity | 0 to 30 days following NGF injection |
| The time between pain onset and complete resolution of pain for two consecutive days |
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Inclusion Criteria:
Exclusion Criteria:
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Healthy men and women with no medical complaints, no history of chronic pain and no current acute pain between the ages of 18 and 44 years will be included.
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| Name | Affiliation | Role |
|---|---|---|
| David A Seminowicz, PhD | University of Maryland School of Dentistry | Principal Investigator |
| Siobhan M Schabrun, PhD | Neuroscience Research Australia; University of New South Wales | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Maryland School of Dentistry | Baltimore | Maryland | 21201 | United States | ||
| Neuroscience Research Australia |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32766469 | Derived | 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. |
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De-identified, individual participant data will be made available immediately following publication via an open-access data repository.
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Pain duration
| 0 to 30 days following NGF injection |
| Sydney |
| New South Wales |
| 2031 |
| Australia |