@article {3563,
	title = {Contralesional Brain-Computer Interface Control of a Powered Exoskeleton for Motor Recovery in Chronic Stroke Survivors.},
	journal = {Stroke},
	year = {2017},
	month = {May},
	abstract = {There are few effective therapies to achieve functional recovery from motor-related disabilities affecting the upper limb after stroke. This feasibility study tested whether a powered exoskeleton driven by a brain-computer interface (BCI), using neural activity from the unaffected cortical hemisphere, could affect motor recovery in chronic hemiparetic stroke survivors. This novel system was designed and configured for a home-based setting to test the feasibility of BCI-driven neurorehabilitation in outpatient environments.},
	issn = {1524-4628},
	doi = {10.1161/STROKEAHA.116.016304},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/28550098},
	author = {Bundy, David T. and Souders, Lauren and Baranyai, Kelly and Leonard, Laura and Gerwin Schalk and Coker, Robert and Moran, Daniel W. and Huskey, Thy and Leuthardt, Eric C.}
}
@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}
}
