I study how the brain perceives rhythm, predicts events and coordinates movement, particularly in Parkinson’s disease. Combining MEG, EEG, MRI, behavioural experiments and computational modelling, I investigate how hearing, vision and touch support timing. My research connects music neuroscience with clinical questions about movement and rehabilitation, alongside interests in neuroplasticity and music’s effects on pain.
I supervise bachelor’s and master’s projects in cognitive neuroscience, focusing on rhythm, movement and Parkinson’s disease. Students engage in ongoing research and develop skills in experimental design, MEG and MRI analysis, computational modelling, systematic reviews and scientific writing. My supervision emphasises critical thinking, practical research experience and increasing independence.
I collaborate with researchers in neuroscience, music cognition, psychology and clinical medicine at Aarhus University and internationally. These collaborations combine neuroimaging, computational modelling and clinical expertise to investigate rhythm, movement and Parkinson’s disease, as well as music’s effects on pain. I welcome interdisciplinary partnerships connecting fundamental brain research with clinical applications.
