Spatiotemporal Brain Networks in Health and Disease
The brain is a complex system, operating under complex spatial and dynamic temporal organization. Deciphering brain networks with the high temporal and spatial resolution is of great significance for understanding normal cognitive processes, studying the pathogenesis of brain diseases, and transforming application. In this talk, I will discuss how mindfulness meditation influences brain-heart interactions in Tibetan monks and how we can make individual and objective prediction for mood disorders by combing brain imaging and artificial intelligence.
Dr. Jiang studied at Nanjing University of Posts and Telecommunications (B.S. in Electrical Engineering and Automation: 2004.9-2008.7), Southeast University (M.S. in Biomedical Engineering: 2008.9-2011.6), and the Donders Institute for Brain, Cognition and Behaviour at the Radboud University Nijmegen (Ph. D. in Cognitive Artificial Intelligence: 2011.9-2016.1). After his Ph.D., he worked in Nanjing Brain Hospital, Department of Biomedical Engineering, University of Minnesota and Department of Biomedical Engineering, Carnegie Mellon University, U.S.A. In September 2021, he joined the Moe Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University, and was also double-employed in the Mental Health Center affiliated with Zhejiang University School of Medicine (Hangzhou Seventh People's Hospital). His current research interests focus on artificial intelligence for medical imaging, neural engineering, and computational neuroscience. As a major participant, he has participated in several large research projects in China, EU, and NIH.