معرفی
Dr. Xuan Li is a Researcher at the Research Center Jülich GmbH, affiliated with the Institute of Neuroscience and Medicine (INM), specifically within the department of Brain and Behavior (INM-7). Their work focuses on advanced neuroimaging techniques and computational methods to study functional brain networks, with an emphasis on understanding neural connectivity patterns in both healthy and diseased states such as Alzheimer’s disease. Dr. Li’s research integrates machine learning approaches like non-negative matrix factorization and sparse coding to uncover complex network structures in resting-state and task-based fMRI data.
Key research interests include developing predictive frameworks for naturalistic viewing experiments, analyzing hemispheric asymmetries, and identifying biomarkers through alterations in brain network topology. Their contributions span methodologies for detecting overlapping communities in brain networks, improving functional connectivity metrics, and enhancing signal processing in neuroimaging data.
Dr. Li’s publications reflect a strong interdisciplinary approach, combining neuroscience, network science, and computational methods to address fundamental questions in brain function and disease. They are actively involved in the analysis of large-scale neuroimaging datasets to advance our understanding of individual brain variability and its implications for diagnostics and personalized medicine.
