Dr. Yu’s research expertise is in the areas of multimodal neuroimaging (MRI and EEG/MEG) and brain network (or connectome) analyses in dementia and mood disorders. Dr. Yu’s current research focuses on the identification of genetic architecture of brain structural and functional networks in Alzheimer’s Disease and multilayer brain structure-function connectome in normal controls and Alzheimer’s Disease. Specifically, Dr. Yu is interested in identifying associations between the human connectome (measured by functional and diffusion MRI) and amyloid-β and tau pathologies (measured by PET imaging data), as well as blood-based microarray RNA gene expression profiles (transcriptome) and DNA variations (genome) in AD.
From 2017 to 2019, Dr. Yu worked as a Postdoc Fellow in Computational Neuroscience/Psychiatry for the Department of Psychiatry at the University of Pennsylvania. There he conducted studies in functional and structural network analysis in patients with depression and anxiety symptoms. In 2017, Dr. Yu obtained his PhD in Computational Neuroscience from the Department of Neurophysiology & Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands. During his doctoral studies, his research included: EEG/MEG network analysis in Alzheimer’s Disease and frontotemporal dementia, developing novel connectivity and network metrics and neural network modeling in neurological disorders. Dr. Yu earned his Master’s (2013) and Bachelor’s (2010) degrees in Theoretical Physics from China.
Learn more about Dr. Yu's research at his lab website (AD Connectome Lab).
Understanding spreading patterns of Alzheimer's