A/Prof Rutger de Zoete

A/Prof Rutger de Zoete

Chronic neck and back pain are massive, invisible burdens in Australia, costing the healthcare system over $10 billion every year and causing substantial personal suffering. For decades, patients have been told to focus primarily on the joint or muscle, yet this traditional “one-size-fits-all” approach has contributed to a frustrating cycle of clinical trial-and-error, where many patients endure ineffective interventions, prolonged recovery times, and ongoing disability. A key challenge in contemporary musculoskeletal health is understanding why identical physical treatments succeed for some individuals but fail for others, and how care can be tailored more precisely to the individual from the outset. By investigating the brain’s role in musculoskeletal pain, Associate Professor de Zoete’s vision is to help make treatment more targeted, personalised, and effective.

Associate Professor Rutger de Zoete addresses the global disability burden of musculoskeletal pain by exploring how the central nervous system contributes to persistent symptoms. His research uses advanced structural and functional MRI to investigate unique brain signatures that may ultimately help predict whether a specific intervention will benefit an individual before therapy even begins. His work provides early evidence that chronic neck pain is associated with neuroplastic changes in the central nervous system, identifying features such as the volume and connectivity of the insular cortex as potential markers of treatment response. By exploring these neural signatures, Associate Professor de Zoete is working to characterise distinct treatment-response phenotypes, while investigating how targeted exercise might positively influence these brain characteristics. This research represents an important step toward person-centred precision medicine. For people living with chronic pain, moving from empirical trial-and-error pathways toward tailored exercise therapy holds the potential to support faster recovery, reduce ineffective interventions, and optimise healthcare resources.

2026