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Neuroimaging techniques and computational analysis

Our primary imaging modality is Magnetic Resonance Imaging (MRI), which provides high-resolution insights into brain structure and function. We also incorporate Positron Emission Tomography (PET) in select studies to investigate molecular aspects of neurodegeneration, such as amyloid plaques and metabolic activity. Technically, our lab focus on computational neuroanatomy and image analysis. We develop and apply advanced image-processing methods and deep-learning models to extract quantitative biomarkers from brain scans. These approaches help us detect subtle signs of both pathological and healthy ageing. By combining multi-modal imaging with cutting-edge analytics, we aim to construct comprehensive models of brain ageing.

Current research focus: Cerebrovascular health

A key area of our research is cerebrovascular injury and its impact on brain ageing. Growing evidence highlights the interplay between vascular pathology and neurodegeneration in dementia. Vascular burden can accelerate cognitive decline and may act as an early trigger for diseases like Alzheimer’s. Likewise, neurodegeneration can further damage blood vessels, creating a cycle that worsens brain injury over time. By using neuroimaging to detect and quantify vascular lesions, we examine how vascular health influences the course of brain ageing and dementia. Our goal is to enhance early detection of vascular contributions to cognitive decline and explore interventions that promote vascular brain health.

Our team

Our lab is home to a multidisciplinary team of researchers, including research students, postdoctoral fellows, and visiting scholars. This diversity fosters a dynamic environment where individuals from varied backgrounds learn from each other. Alumni from our lab have gone on to careers in academia, healthcare, and industry. Our lab culture promotes collaboration, curiosity, and continuous learning in the pursuit of understanding the ageing brain.

Collaboration and multidisciplinary approach

Breakthroughs in neuroimaging rely on multidisciplinary collaboration, and our lab embraces this fully. We work closely with experts in psychiatry, geriatric medicine, biomedical engineering, computer science, data science, and mathematics. By connecting these disciplines, we address complex questions that no single field could tackle alone.

We also partner with research groups and consortia in Australia and internationally. These collaborations provide access to large neuroimaging datasets and a breadth of expertise—from MRI sequencing to population health. Through these global efforts, we contribute to identifying biomarkers of brain ageing and advancing dementia prevention.

We welcome prospective students and fellows from fields such as biology, psychology, medicine, engineering, physics, computer science, and data science. If you’re passionate about understanding the brain and improving ageing outcomes, we invite you to join our team.