Special Seminar – Imaging Brain Networks

Department of Electrical, Computer and Biomedical Engineering

Speaker: Dr. Lei Ding, Presidential Professor; Biomedical, Electrical and Computer Engineering; University of Oklahoma
Location: Chafee 273
Date/Time: Monday, April 23, 2018 at 2:00 p.m.
Title: “Adaptive Neuroimaging Technologies in Constructing Cortical Electrophysiological Tomography for Resting State Networks”


Much of the recent progresses in neuroscience, concerning language, attention, memory, and many others that were intractable in the past, are derived from technological advancements in functional neuroimaging. These technologies are rapidly entering clinical practice and have dramatically advanced our capability in medical diagnosis and presurgical planning of various neurological diseases. Functional magnetic resonance maging (fMRI) has excellent millimeters spatial resolution, while both electroencephalogram (EEG) and magnetoencephalogram (MEG) provides millisecond temporal resolution in researching human brain activity. Unfortunately, EEG/MEG suffer from low spatial resolutions and ambiguity in defining spatial origins of brain activity because of the volume conductor effect, while fMRI is fundamentally limited in studying the temporal aspect of brain activity at the neuronal time scale of milliseconds, which is the essence of brain function. Furthermore, fMRI is not adaptive to any environments for data collections, which are essential in many cases to have neuroimaging technologies more accessible to patients. We have developed a suite of innovative functional neuroimaging technologies to address these limitations in both EEG/MEG and fMRI. In this talk, we will discuss functional neuroimaging technologies on brain networks based on EEG and MEG developed in our lab for the understanding, diagnosis, and treatment evaluation of brain disorders. Compared with fMRI based functional neuroimaging technologies, they are more accessible, easy-to-use, cheap, and supporting large-scale longitudinal studies. We also demonstrate the theoretical merits of these technologies since they are from direct measurements of primary responses of neurons and reflect dynamics of orchestrated neuronal activations forming networks.


Dr. Lei Ding is a Presidential Professor of Biomedical Engineering, Electrical and Computer Engineering, and Neuroscience, and Director of Institute for Biomedical Engineering, Science, and Technology (IBEST) at the University of Oklahoma. He is also an Affiliated Associate Professor at the Laureate Institute for Brain Research, Tulsa, Oklahoma. He has made significant original contributions to research in functional neuroimaging, noninvasive neuromodulation, brain-computer interface, and imaging biomarkers for neurological and psychiatric disorders. He received B.E. degree (Highest Honors) from Zhejiang University, China (2000), and Ph.D. degree (Dissertation Fellow) from the University of Minnesota (2007), both in biomedical engineering. Dr. Ding is the recipient of the National Science Foundation CAREER Award and the only recipient of the New Scientist Award from the State of Oklahoma in 2009. He is the recipient of Early Career Achievement Award of 2016 from IEEE Engineering in Medicine and Biology Society, the world largest biomedical engineering society. He has published over 100 peer-reviewed papers in areas of medical imaging and neural engineering.