@article {4095,
	title = {Differential roles of high gamma and local motor potentials for movement preparation and execution},
	journal = {Brain-Computer Interfaces},
	volume = {3},
	year = {2016},
	month = {May},
	pages = {88-102},
	abstract = {Determining a person{\textquoteright}s intent, such as the planned direction of their movement, directly from their cortical activity could support important applications such as brain-computer interfaces (BCIs). Continuing development of improved BCI systems requires a better understanding of how the brain prepares for and executes movements. To contribute to this understanding, we recorded surface cortical potentials (electrocorticographic signals; ECoG) in 11 human subjects performing a delayed center-out task to establish the differential role of high gamma activity (HGA) and the local motor potential (LMP) as a function of time and anatomical area during movement preparation and execution. High gamma modulations mostly confirm previous findings of sensorimotor cortex involvement, whereas modulations in LMPs are observed in prefrontal cortices. These modulations include directional information during movement planning as well as execution. Our results suggest that sampling signals from these widely distributed cortical areas improves decoding accuracy.},
	keywords = {BCI, brain-computer interfaces, ECoG, Electrocorticography, sensorimotor systems},
	doi = {https://doi.org/10.1080/2326263X.2016.1179087},
	author = {Gunduz, Aysegul and Peter Brunner and Sharma, Mohit and Leuthardt, Eric C. and Ritaccio, Anthony L. and Pesaran, Bijan and Schalk, Gerwin}
}
@conference {2261,
	title = {Brain-Computer Interaction.},
	booktitle = {5th Intl. Conference on Augmented Cognition},
	year = {2009},
	month = {2009},
	publisher = {Springer},
	organization = {Springer},
	abstract = {<p><span style="color: $\#$333333; font-family: {\textquoteright}Helvetica Neue{\textquoteright}, Arial, Helvetica, sans-serif; font-size: 13px; line-height: 20px;">Detection and automated interpretation of attention-related or intention-related brain activity carries significant promise for many military and civilian applications. This interpretation of brain activity could provide information about a person{\textquoteright}s intended movements, imagined movements, or attentional focus, and thus could be valuable for optimizing or replacing traditional motor-based communication between a person and a computer or other output devices. We describe here the objective and preliminary results of our studies in this area.</span></p>},
	keywords = {BCI, brain-computer interface, neural engineering, neural prosthesis},
	isbn = {978-3-642-02811-3},
	doi = {10.1007/978-3-642-02812-0_81},
	url = {http://link.springer.com/chapter/10.1007\%2F978-3-642-02812-0_81},
	author = {Peter Brunner and Gerwin Schalk}
}
@article {3113,
	title = {A scanning protocol for a sensorimotor rhythm-based brain-computer interface.},
	journal = {Biological psychology},
	volume = {80},
	year = {2009},
	month = {02/2009},
	pages = {169{\textendash}175},
	abstract = {The scanning protocol is a novel brain-computer interface (BCI) implementation that can be controlled with sensorimotor rhythms (SMRs) of the electroencephalogram (EEG). The user views a screen that shows four choices in a linear array with one marked as target. The four choices are successively highlighted for 2.5s each. When a target is highlighted, the user can select it by modulating the SMR. An advantage of this method is the capacity to choose among multiple choices with just one learned SMR modulation. Each of 10 naive users trained for ten 30 min sessions over 5 weeks. User performance improved significantly (p<0.001) over the sessions and ranged from 30 to 80\% mean accuracy of the last three sessions (chance accuracy=25\%). The incidence of correct selections depended on the target position. These results suggest that, with further improvements, a scanning protocol can be effective. The ultimate goal is to expand it to a large matrix of selections.},
	keywords = {BCI, brain-computer interface, scanning protocol, sensorimotor rhythm},
	issn = {1873-6246},
	doi = {10.1016/j.biopsycho.2008.08.004},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/18786603},
	author = {Friedrich, Elisabeth V. C. and Dennis J. McFarland and Neuper, Christa and Theresa M Vaughan and Peter Brunner and Jonathan Wolpaw}
}
