Department of Computer Science, 500 W. 120th St., New York, New York 10027 451
All are welcome (attendance required for graduate students). Lunch is provided.
Bin He, Carnegie Mellon University
Noninvasive Human Brain Mapping and Brain-Computer Interface
Brain activity is distributed over the 3-dimensional volume and evolves in time. Mapping spatio-temporal
distribution of brain activation with high spatial resolution and high temporal resolution is of great importance
for understanding the brain and aiding in the clinical diagnosis and management of brain disorders.
Electrophysiological source imaging (ESI) from noninvasively recorded high density electroencephalogram
(EEG) has played a significant role in advancing our ability to image brain function and dysfunction. We will
discuss principles and current state of EEG-based ESI in localizing and imaging human brain activity with
applications to imaging epileptic networks. Promising clinical results validated by intracranial recordings and
surgical resection outcomes demonstrate the merits of noninvasive EEG-based ESI in mapping epileptogenic
zones, aiding surgical treatment of intractable epilepsy. We will also discuss our recent progress in noninvasive
brain-computer interface, for controlling of a robotic arm from noninvasive EEG signals using a motor imagery
paradigm. Our work in a group of human subjects demonstrate the capability of controlling a virtual or physical
device using only the “thoughts” as decoded from noninvasive recordings.