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University of Texas at El Paso

2 ARTICLES PUBLISHED IN JoVE

Biology

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

J. Adam Wilson¹, Gerwin Schalk², Léo M. Walton¹, Justin C. Williams¹

¹Department of Biomedical Engineering, University of Wisconsin-Madison, ²Wadsworth Center, New York State Dept. of Health

In this video, we demonstrate the steps required to run a brain-computer interface experiment, including setting up the EEG cap, calibrating the system, and training the user to move a cursor in two dimensions using imagined movements.

Neuroscience

Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

N. Jeremy Hill¹, Disha Gupta^1,2, Peter Brunner^1,2, Aysegul Gunduz^1,2, Matthew A. Adamo³, Anthony Ritaccio², Gerwin Schalk^1,2,4,5,6,7

¹Wadsworth Center, New York State Department of Health, ²Department of Neurology, Albany Medical College, ³Department of Neurosurgery, Albany Medical College, ⁴Department of Neurosurgery, Washington University, ⁵Department of Biomed. Eng., Rensselaer Polytechnic Institute, ⁶Department of Biomed. Sci., State University of New York at Albany, ⁷Department of Elec. and Comp. Eng., University of Texas at El Paso

We present a method for collecting electrocorticographic signals for research purposes from humans who are undergoing invasive epilepsy monitoring. We show how to use the BCI2000 software platform for data collection, signal processing and stimulus presentation. Specifically, we demonstrate SIGFRIED, a BCI2000-based tool for real-time functional brain mapping.