Prediction of arm movement trajectories from ECoG-recordings in humans

Electrocorticographic (ECoG) signals have been shown to contain reliable information about the direction of arm movements and can be used for on-line cursor control. These findings indicate that the ECoG is a potential basis for a brain-machine interface (BMI) for application in paralyzed patients....

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Bibliographic Details
Published inJournal of neuroscience methods Vol. 167; no. 1; pp. 105 - 114
Main Authors Pistohl, Tobias, Ball, Tonio, Schulze-Bonhage, Andreas, Aertsen, Ad, Mehring, Carsten
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 15.01.2008
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Summary:Electrocorticographic (ECoG) signals have been shown to contain reliable information about the direction of arm movements and can be used for on-line cursor control. These findings indicate that the ECoG is a potential basis for a brain-machine interface (BMI) for application in paralyzed patients. However, previous approaches to ECoG-BMIs were either based on classification of different movement patterns or on a voluntary modulation of spectral features. For a continuous multi-dimensional BMI control, the prediction of complete movement trajectories, as it has already been shown for spike data and local field potentials (LFPs), would be a desirable addition for the ECoG, too. Here, we examined ECoG signals from six subjects with subdurally implanted ECoG-electrodes during continuous two-dimensional arm movements between random target positions. Our results show that continuous trajectories of 2D hand position can be approximately predicted from the ECoG recorded from hand/arm motor cortex. This indicates that ECoG signals, related to body movements, can directly be transferred to equivalent controls of an external effector for continuous BMI control.
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ISSN:0165-0270
1872-678X
DOI:10.1016/j.jneumeth.2007.10.001