Electrocorticographic Brain-Computer Interfaces

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Mikhail A Lebedev

Department of Mathematical Analysis, Faculty of Mechanics and Mathematics, Lomonosov Moscow State University

Alexei Ossadtchi

National Research University Higher School of Economics

Mikhail Sinkin

Research Institute of Emergency Care

Christoph Guger

g.tec medical engineering GmbH

Alessandro Vato

National Center for Adaptive Neurotechnologies

Eric Leuthardt

Washington University in St. Louis

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Recently, we have seen an increased interest to brain-computer interfaces (BCIs) that utilize electrocorticographic (ECoG) recordings. ECoG is a minimally invasive neural recording technique suitable for sampling high-frequency cortical signals in multiple areas. ECoG has lower risks to patients compared to other invasive recording methods. This recording method is routinely used in clinical practice for preoperational mapping in epileptic patients. Studies conducted in these patients have demonstrated the feasibility of ECoG-based BCIs that enable controlling movements of the lower and upper limbs and communication functions. Moreover, ECoG approach is suitable for developing bidirectional BCIs that combine an efferent loop that processes information derived from neural activity and an afferent loop that carries information to the brain. With the development of fully implantable ECoG systems and technologies for high-density ECoG recordings, ECoG-based BCIs offer a range of practical solutions for patients suffering from neurological disease, trauma and limb loss.

We invite manuscripts on all aspects of the ECoG-based BCIs: ECoG recordings, electrical stimulation with ECoG grids, processing of ECoG signals, decoding, BCIs for motor control and communications, systems for detection and suppression of epileptic activity, cognitive BCIs, and other themes.

Topic Editor Christoph Guger is the CEO of Guger Technologies. All other topic editors declare no competing interests with regards to the Research Topic subject.

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Editors

Mikhail A Lebedev

Department of Mathematical Analysis, Faculty of Mechanics and Mathematics, Lomonosov Moscow State University

Alexei Ossadtchi

National Research University Higher School of Economics

Mikhail Sinkin

Research Institute of Emergency Care

Christoph Guger

g.tec medical engineering GmbH

Alessandro Vato

National Center for Adaptive Neurotechnologies

Eric Leuthardt

Washington University in St. Louis

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Published In

Frontiers in Neuroscience

Neuroprosthetics

Frontiers in Neurology

Neuroprosthetics

Frontiers in Neuroinformatics

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