EEG-based Dynamic Brain Imaging and Brain-Computer Interface
Brain activity is distributed over the 3-dimensional volume and evolves in time. Mapping dynamic brain activation with high spatial resolution and high temporal resolution is of great importance for understanding the brain functions and aiding in the clinical diagnosis and management of brain disorders. Electroencephalography (EEG) is a noninvasive technique to probe brain dynamics, and has been developed into a three-dimensional functional imaging modality for dynamic brain mapping. EEG has also played a significant role in our attempt to decode brain intention controlling a computer or device. This talk will consist of two parts: First, we will discuss the fundamental concepts of EEG and its relationship with the underlying brain activity, how EEG source imaging can offer a noninvasive window probing brain dynamics, and clinical applications to epilepsy source localization. Next, we will discuss the concepts and principles of EEG based brain-computer interface, and present our recent progresses in noninvasive brain-computer interface for controlling a virtual and physical object including flying a drone and controlling a robotic arm by “thought”. The presentation will feature the recent results from the group, and discuss challenges and opportunities of brain-computer interface, for aiding paralyzed patients as a medical technology, as well as the general population as a human-machine interface technology.
Professor Bin He is Trustee Professor of Biomedical Engineering, Electrical and Computer Engineering, and Neuroscience, and Head of Carnegie Mellon University’s Department of Biomedical Engineering. Dr. He has made significant contributions to the fields of neuroengineering and biomedical imaging, advancing electroencephalography to a three-dimensional dynamic functional imaging modality and for brain control of a computer and device. He is the sole editor of textbook “Neural Engineering” with its 3rd edition being published by Springer. His research has been recognized by a number of prestigious awards, including the IEEE William J. Molock Award (2019), the IEEE Biomedical Engineering Award (2017), the IEEE Engineering in Medicine and Biology Society Academic Career Achievement Award (2015), the International Federation of Clinical Neurophysiology Outstanding Research Award (2012), among others. Previously He was recognized by the Distinguished McKnight University Professorship of Biomedical Engineering and Medtronic-Bakken Endowed Chair for Engineering in Medicine at the University of Minnesota. Dr. He served as a Past President of the IEEE Engineering in Medicine and Biology Society, Chair of Publications Committee of American Institute of Medical and Biological Engineering, and serves as the Chair of the International Academy of Medical and Biological Engineering. He also served as Editor-in-Chief of IEEE Transactions on Biomedical Engineering from 2013-2018, and as a Member of NIH BRAIN Initiative Multi-Council Working Group from 2015-2019. He is an elected Fellow of International Academy of Medical and Biological Engineering, IEEE, American Institute of Medical and Biological Engineering, and Biomedical Engineering Society.
贺斌教授是生物医学工程系、电气与计算机工程系、神经科学系教授，美国卡耐基梅隆大学生物医学工程系主任。贺斌教授在神经工程学和生物医学成像领域做出了多个重要贡献，尤其是推进了脑电图三维动态功能成像模式以用于计算和相关设备的脑机控制。贺斌教授出版了英文学术独著《Neural Engineering》，目前由Springer出版社已再版第三版。贺斌教授荣获了多项著名学术荣誉奖项，包括IEEE William J. Molock 奖（2019）、IEEE生物医学工程奖（2017）、IEEE医学和生物工程学会学术职业成就奖（2015）、IEEE医学和生物工程学会杰出服务奖（2014）、国际临床神经生理学协会杰出研究奖（2012）等。此前，贺斌教授还曾荣任明尼苏达大学生物医学工程Distinguished McKnight University Professorship及Medtronic-Bakken Endowed Chair；曾任IEEE医学和生物工程学会前主席、美国医学与生物工程院（AIMBE）出版物委员会主席、国际医学与生物工程院（IAMBE）主席。贺斌教授于2013年至2018年担任IEEE Transactions on Biomedical Engineering期刊主编，并于2015年至2019年担任NIH BRAIN Initiative Multi-Council工作组委员。此外，贺斌教授也是多个学会和组织的会士（FELLOW），包括：International Academy of Medical and Biological Engineering, IEEE, American Institute of Medical and Biological Engineering, and Biomedical Engineering Society。