Decoding of intended saccade direction in an oculomotor brain–computer interface
| Autor: | Mikhail Panko, Frank H. Guenther, Earl K. Miller, Andres F. Salazar-Gomez, Nan Jia, Scott L. Brincat |
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| Rok vydání: | 2017 |
| Předmět: |
Male
Computer science Interface (computing) 0206 medical engineering Biomedical Engineering Prefrontal Cortex 02 engineering and technology Article Random Allocation 03 medical and health sciences Cellular and Molecular Neuroscience 0302 clinical medicine Oculomotor Nerve Saccades medicine Animals Computer vision Prefrontal cortex Brain–computer interface Working memory business.industry Eye movement Frontal eye fields Macaca mulatta 020601 biomedical engineering Electrodes Implanted Dorsolateral prefrontal cortex Macaca fascicularis medicine.anatomical_structure Brain-Computer Interfaces Saccade Artificial intelligence business Photic Stimulation 030217 neurology & neurosurgery |
| Zdroj: | Journal of Neural Engineering. 14:046007 |
| ISSN: | 1741-2552 1741-2560 |
| DOI: | 10.1088/1741-2552/aa5a3e |
| Popis: | Objective. To date, invasive brain–computer interface (BCI) research has largely focused on replacing lost limb functions using signals from the hand/arm areas of motor cortex. However, the oculomotor system may be better suited to BCI applications involving rapid serial selection from spatial targets, such as choosing from a set of possible words displayed on a computer screen in an augmentative and alternative communication (AAC) application. Here we aimed to demonstrate the feasibility of a BCI utilizing the oculomotor system. Approach. We developed a chronic intracortical BCI in monkeys to decode intended saccadic eye movement direction using activity from multiple frontal cortical areas. Main results. Intended saccade direction could be decoded in real time with high accuracy, particularly at contralateral locations. Accurate decoding was evident even at the beginning of the BCI session; no extensive BCI experience was necessary. High-frequency (80–500 Hz) local field potential magnitude provided the best performance, even over spiking activity, thus simplifying future BCI applications. Most of the information came from the frontal and supplementary eye fields, with relatively little contribution from dorsolateral prefrontal cortex. Significance. Our results support the feasibility of high-accuracy intracortical oculomotor BCIs that require little or no practice to operate and may be ideally suited for 'point and click' computer operation as used in most current AAC systems. |
| Databáze: | OpenAIRE |
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