International Graduate School of Neuroscience

Research Interests

Our research focuses on Quantitative Imaging and Neuromuscular Research, with a strong emphasis on translational and interdisciplinary approaches at the intersection of neuroscience, medical imaging, and data science. Our projects span from basic research on brain plasticity to clinical applications in neuromuscular disorders, combining advanced imaging methods, machine learning, and clinical collaboration.

The motivation for our research stems from the urgent need for more precise diagnostics and monitoring tools for neurological and neuromuscular diseases, which impact millions of patients globally. We are particularly interested in understanding how quantitative MRI (qMRI) can be leveraged to detect microstructural changes at the earliest stages of disease and how these changes relate to functional impairment and patient outcomes. Combining cutting-edge imaging techniques with automated data analysis methods helps us create new insights into disease mechanisms and improves diagnostic accuracy.

We are also fascinated by how the brain adapts to new experiences — ranging from motor skill learning to rehabilitation processes — and how these plastic changes can be visualized using high-resolution neuroimaging. The interplay between brain plasticity, muscle health, and disease progression is a recurring theme across many of our projects. By linking basic neurophysiological research with applied medical imaging, we aim to develop novel imaging-based biomarkers for diagnosis, disease monitoring, and therapy response prediction.

Within our research projects, we combine structural and functional imaging, machine learning-based data processing, and experimental studies. This multidisciplinary environment offers a unique training ground for students interested in contributing to innovative, patient-centered research.