Chronic pain

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Researchers: Associate Professor Sylvia Gustin, Nell-Norman-Nott, Dr Negin Hesam- Shariati, Dr. Chelsey Wilks (University of Washington).

Emerging evidence has shown that negative emotional states play a key role in the development and maintenance of chronic pain. The No Worries Trial will evaluate the effectiveness of a four-week internet-delivered Dialectical Behaviour Therapy (DBT) skills training to help chronic pain sufferers cope with painful, fearful, worrisome, anxious, and negative thoughts and emotions. Moreover, by having the DBT skills training online it is more accessible to those in remote communities, to those with restricted mobility, and more broadly it adds to the knowledge of internet-delivered therapies at a time when online is increasingly necessary to deliver treatment due to COVID-19.

Chronic pain is a significant problem worldwide that results in enormous suffering and costs to affected individuals, their loved ones, and society. The experience of chronic pain is so much more than a sensation. Chronic pain impacts our emotions, cognition and social life.

Researchers: A/Prof Sylvia Gustin, Dr Negin Hesam-Shariati, Dr Wei-Ju Chang, A/Prof James McAuley, Dr Andrew Booth, A/Prof Toby Newton-John, Prof Chin-Teng Lin, A/Prof Zina Trost

Chronic pain is a global health problem, affecting around one in five individuals in the general population. The understanding of the key role of functional brain alterations in the generation of chronic pain has led researchers to focus on pain treatments that target brain activity. Electroencephalographic (EEG) neurofeedback attempts to modulate the power of maladaptive EEG frequency powers to decrease chronic pain. Although several studies provide promising evidence, the effect of EEG neurofeedback on chronic pain is uncertain. This systematic review aims to synthesise the evidence from randomised controlled trials (RCTs) to evaluate the analgesic effect of EEG neurofeedback.

The search strategy will be performed on five electronic databases (Cochrane Central, MEDLINE, Embase, PsycInfo, and CINAHL) for published studies and on clinical trial registries for completed unpublished studies. We will include studies that used EEG neurofeedback as an intervention for people with chronic pain. Risk of bias tools will be used to assess methodological quality of the included studies. RCTs will be included if they have compared EEG neurofeedback with any other intervention or placebo control. The data from RCTs will be aggregated to perform a meta-analysis for quantitative synthesis. In addition, non-randomised studies will be included for a narrative synthesis. The data from non-randomised studies will be extracted and summarised in a descriptive table. The primary outcome measure is pain intensity assessed by self-report scales. Secondary outcome measures include depressive symptoms, anxiety symptoms, and sleep quality measured by self-reported questionnaires. Further, we will investigate the non-randomised studies for additional outcomes addressing safety, feasibility, and resting-state EEG analysis.

Pain is the single most common reason for seeking medical attention. Under normal circumstances, pain acts to signal injury and is a protective response that prevents further damage and promotes tissue healing. People differ not only in their ability to detect and tolerate pain, but also in their ability to recover from an injury, with some people experiencing pain that outlasts the duration of tissue healing. Interventions to treat or cure chronic pain have had limited success.

Recent research has identified a novel cortical biomarker that could identify individuals at risk of developing chronic pain, which could be used to identify individuals at high risk of transitioning from acute to chronic pain (PREDICT project). However, whether a causal relationship exists between this cortical biomarker and pain is unknown.

The pain biomarker is based on rhythmic patterns of electrical activity in the brain and is measured using electroencephalography (EEG). Previous research suggests that the speed of this rhythmic activity can be altered through the administration of nicotine. MODULATE will attempt to alter the speed of the brain’s rhythmic activity, using nicotine gum, and observe the impact on pain. The project will help determine whether a causal relationship exists between the biomarker and pain.

Temporomandibular disorder (TMD) is the second most common musculoskeletal pain condition and is associated with pain and tenderness of the jaw. Although a number of biological factors have shown an association with chronic TMD in cross-sectional and case control studies, there are currently no biomarkers that can predict the development of chronic symptoms. Because of the difficulty in treating chronic pain, development of brain signal predictive biomarkers is of growing interest.

The PREDICT project will aim to develop a predictive biomarker signature of pain severity and duration using two commonly available techniques – electroencephalogram (EEG) and transcranial magnetic stimulation (TMS) – and perform initial clinical validation in first onset TMD. The biomarker could have utility in identifying patients at high risk of transitioning from acute to chronic pain and has additional potential for clinical application in the treatment and prevention of chronic pain.

This project will be carried out in collaboration with a team at the University of Maryland, Baltimore lead by A/Prof David Seminowicz (see more information here).

PREDICT Publications

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

Social media is a potentially powerful tool to provide a message of education and reassurance to the general public about low back pain. This project will use social media to educate the general public about low back pain and promote self-management.

The project involves three stages. Firstly, we will conduct a content analysis to gain an insight into social media users’ perceptions and understanding about low back pain. This could determine whether social media could serve as an educational tool through which accurate information related to low back pain could be disseminated to the public.

Second, a recent Delphi survey of 150 low back pain researchers identified 30 key messages considered to be important for the general public to know about LBP. These statements provide evidence-based information on the diagnosis, prognosis and management of LBP and are intended to educate, reassure and promote self-management. We will investigate the attitude of the general public towards these messages.

Third, working in conjunction with a media company Y&R, we will design and test a social media campaign to encourage self-management for people with low back pain.

Chronic pain is a significant problem worldwide affecting nearly 8 million Australians. Unfortunately, despite the availability of analgesics and other pain therapies, no treatment has been found that benefits the majority of individuals, and most of the available treatments have significant side effects or risks for serious adverse events, e.g. kidney failure.

For people with back pain who are having trouble with their sleep. We are testing whether a simple sleep tablet will help people reduce their pain and sleep better.

For people with long term back pain that is not getting better. We are testing two pain treatment programs that target the brain, for people with chronic low back pain.

We are trying to identify how a constant sensory input (muscle pain) causes two divergent patterns of sympathetic response: an increase in MSNA and blood pressure in some individuals and a decrease in others.

Chronic pain, defined as pain lasting for >3 months, typically develops from injuries to deep tissues such as muscle, yet little is known about how long-lasting pain affects a person’s blood pressure or capacity to control their muscles. This project assesses the effects of tonic muscle pain on sympathetic nerve activity and stretch sensitivity of muscle spindles.