Decoding Movement From Electrocorticographic Activity: A Review
Electrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for people suffering from neurological disabilities. This recording technique combines adequate temporal and spatial resolution with the lower risks of medical complications compared to the other invasive method...
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doaj-1846ec66858b4e08b3649eb486dbe2df2020-11-25T02:39:50ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962019-12-011310.3389/fninf.2019.00074470003Decoding Movement From Electrocorticographic Activity: A ReviewKsenia Volkova0Mikhail A. Lebedev1Alexander Kaplan2Alexander Kaplan3Alexander Kaplan4Alexei Ossadtchi5Center for Bioelectric Interfaces, Higher School of Economics, National Research University, Moscow, RussiaCenter for Bioelectric Interfaces, Higher School of Economics, National Research University, Moscow, RussiaCenter for Bioelectric Interfaces, Higher School of Economics, National Research University, Moscow, RussiaCenter for Biotechnology Development, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, RussiaLaboratory for Neurophysiology and Neuro-Computer Interfaces, Faculty of Biology, Lomonosov Moscow State University, Moscow, RussiaCenter for Bioelectric Interfaces, Higher School of Economics, National Research University, Moscow, RussiaElectrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for people suffering from neurological disabilities. This recording technique combines adequate temporal and spatial resolution with the lower risks of medical complications compared to the other invasive methods. ECoG is routinely used in clinical practice for preoperative cortical mapping in epileptic patients. During the last two decades, research utilizing ECoG has considerably grown, including the paradigms where behaviorally relevant information is extracted from ECoG activity with decoding algorithms of different complexity. Several research groups have advanced toward the development of assistive devices driven by brain-computer interfaces (BCIs) that decode motor commands from multichannel ECoG recordings. Here we review the evolution of this field and its recent tendencies, and discuss the potential areas for future development.https://www.frontiersin.org/article/10.3389/fninf.2019.00074/fullelectrocorticographyECoGbrain-computer interfaceBCImovement decoding |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ksenia Volkova Mikhail A. Lebedev Alexander Kaplan Alexander Kaplan Alexander Kaplan Alexei Ossadtchi |
spellingShingle |
Ksenia Volkova Mikhail A. Lebedev Alexander Kaplan Alexander Kaplan Alexander Kaplan Alexei Ossadtchi Decoding Movement From Electrocorticographic Activity: A Review Frontiers in Neuroinformatics electrocorticography ECoG brain-computer interface BCI movement decoding |
author_facet |
Ksenia Volkova Mikhail A. Lebedev Alexander Kaplan Alexander Kaplan Alexander Kaplan Alexei Ossadtchi |
author_sort |
Ksenia Volkova |
title |
Decoding Movement From Electrocorticographic Activity: A Review |
title_short |
Decoding Movement From Electrocorticographic Activity: A Review |
title_full |
Decoding Movement From Electrocorticographic Activity: A Review |
title_fullStr |
Decoding Movement From Electrocorticographic Activity: A Review |
title_full_unstemmed |
Decoding Movement From Electrocorticographic Activity: A Review |
title_sort |
decoding movement from electrocorticographic activity: a review |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neuroinformatics |
issn |
1662-5196 |
publishDate |
2019-12-01 |
description |
Electrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for people suffering from neurological disabilities. This recording technique combines adequate temporal and spatial resolution with the lower risks of medical complications compared to the other invasive methods. ECoG is routinely used in clinical practice for preoperative cortical mapping in epileptic patients. During the last two decades, research utilizing ECoG has considerably grown, including the paradigms where behaviorally relevant information is extracted from ECoG activity with decoding algorithms of different complexity. Several research groups have advanced toward the development of assistive devices driven by brain-computer interfaces (BCIs) that decode motor commands from multichannel ECoG recordings. Here we review the evolution of this field and its recent tendencies, and discuss the potential areas for future development. |
topic |
electrocorticography ECoG brain-computer interface BCI movement decoding |
url |
https://www.frontiersin.org/article/10.3389/fninf.2019.00074/full |
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