MR Imaging of Brain Dynamics, Melanin, and Iron
报告时间：2019年 6月19日 （周三）上午10:00-12:00
报告地点：北京师范大学 京师学堂第三会议室（地下室一层）
报告人：Xiaoping Hu
Professor and Chair, Department of Bioengineering,
Director, Center for Advanced Neuroimaging
University of California, Riverside
报告人简介：
Dr. Hu obtained his Ph.D. in medical physics from the University of Chicago in 1988. He has worked on the development and biomedical application of magnetic resonance imaging for 4 decades. As one of the early players, Dr. Hu conducted extensive and pioneering work in functional MRI (fMRI). He has published 290+ refereed journal articles (h-index: 81). His recent interests include the development of MRI biomarkers for the diagnosis and early detection of Parkinson’s disease, molecular imaging with MRI, and the application of deep learning in analyzing fMRI data. He was a deputy editor of Magnetic Resonance in Medicine from 2005 to 2013 and an Associate Editor of IEEE Transactions on Medical Imaging from 1994 to 2004. He is currently an editor of Brain Connectivity, an associate editor of Magnetic Resonance in Medicine, and an editor of Frontiers in Neuroscience. He was named a fellow of the International Society for Magnetic Resonance in 2004 and a fellow of IEEE and a fellow of American Institute of Medical and Biological Engineering in 2009.
报告摘要：
In addition to providing exquisite details of brain anatomy, MRI can also map the function, connectivity, and other important characteristics, such as melanin and iron contents, of the brain. In this talk, I will highlight our work on the methodological development and applications in some of these aspects. The first part will be on the study of brain dynamics with resting-state functional MRI. In this regard, I will describe how we can characterize the brain dynamics with a hidden Markov model, revealing spatiotemporal characteristics of resting state brain, and how to take advantage of the dynamic information in brain segmentation and subject identification. In the second part, I will describe the use of MRI to image brain melanin and iron and their application in the diagnosis of Parkinson’s disease (PD), with the potential for early detection.
