Motivation
Brain MRI network representations provide a powerful framework to integrate structural, functional, microstructural, and metabolic information across scales. By combining advances in MRI and MR spectroscopy with network theory, we aim to understand how human brain organization emerges, adapts, and reorganizes across health and disease.
Methodological questions
We develop quantitative, multimodal MRI-based network representations that are accurate, reproducible, and biologically meaningful. Our methodological research focuses on integrating multiple MRI contrasts, improving acquisition and preprocessing strategies, and designing network metrics sensitive to brain dynamics, microstructure, and metabolism.
Applications
We apply these methods to study human brain plasticity and network reorganization in health and disease. Applications include learning- and experience-dependent plasticity, sensory deprivation, and neurological and neurodegenerative conditions such as dementia, Parkinson’s disease, and brain tumors.
