Dynamic Mapping and Interfacing with the Human Brain
Event details
| Date | 27.06.2016 |
| Hour | 13:00 › 14:00 |
| Speaker | Professor Bin He, University of Minnesota, USA |
| Location | |
| Category | Conferences - Seminars |
Brain activity is distributed over the 3-dimensional volume and evolves in time. Mapping the spatio-temporal distribution of brain activation is of great importance for understanding the brain and aiding clinical diagnosis and management of brain disorders. Electrophysiological source imaging from high resolution electroencephalography (EEG) has shown great promise for mapping brain function and dysfunction. We will discuss EEG-based electrophysiological source imaging in localizing and imaging human brain activity with applications to seizure localization.
We will also discuss the merits and challenges of multimodal functional neuroimaging by integrating electrophysiological and hemodynamic measurements. Our work indicates that the BOLD functional MRI and EEG can be integrated in a principled way, leading to substantially enhanced spatio-temporal resolution for functional imaging of dynamic brain activation. Finally, we will discuss the co-localization of hemodynamic and electrophysiological signals associated with motor imagery tasks, and discuss our recent progress in EEG based brain-computer interface, demonstrating that humans can control a quadcopter or a robotic arm by “mind” from noninvasive EEG signals.
Bio: Bin He, Ph.D.
Distinguished McKnight University Professor of Biomedical Engineering
Medtronic-Bakken Endowed Chair for Engineering in Medicine
Director, Institute for Engineering in Medicine
Director, Center for Neuroengineering
University of Minnesota
We will also discuss the merits and challenges of multimodal functional neuroimaging by integrating electrophysiological and hemodynamic measurements. Our work indicates that the BOLD functional MRI and EEG can be integrated in a principled way, leading to substantially enhanced spatio-temporal resolution for functional imaging of dynamic brain activation. Finally, we will discuss the co-localization of hemodynamic and electrophysiological signals associated with motor imagery tasks, and discuss our recent progress in EEG based brain-computer interface, demonstrating that humans can control a quadcopter or a robotic arm by “mind” from noninvasive EEG signals.
Bio: Bin He, Ph.D.
Distinguished McKnight University Professor of Biomedical Engineering
Medtronic-Bakken Endowed Chair for Engineering in Medicine
Director, Institute for Engineering in Medicine
Director, Center for Neuroengineering
University of Minnesota
Practical information
- Informed public
- Free
Organizer
- Professor José del R. Millán