Thin-film, high-density micro-electrocorticographic decoding of a human cortical gyrus
| Autor: | Leah Muller, Satinderpall S. Pannu, Kye Y Lee, Edward F. Chang, Sarah Felix, Kedar G. Shah |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Computer science Speech recognition Electroencephalography Article 03 medical and health sciences Neural activity Superior temporal gyrus 0302 clinical medicine Gyrus medicine Humans Cortical surface Electrocorticography Brain–computer interface Cerebral Cortex medicine.diagnostic_test Electrodes Implanted 030104 developmental biology medicine.anatomical_structure Cerebral cortex 030217 neurology & neurosurgery Decoding methods Biomedical engineering |
| Zdroj: | EMBC |
| Popis: | High-density electrocorticography (ECoG) arrays are promising interfaces for high-resolution neural recording from the cortical surface. Commercial options for high-density arrays are limited, and historically tradeoffs must be made between spatial coverage and electrode density. However, thin-film technology is a promising alternative for generating electrode arrays capable of large area coverage and high channel count, with resolution on the order of cortical columns in the functional surface unit of a human gyrus. Here, we evaluate the sensing performance of a high-density thin-film 128-electrode array designed specifically for recording the distributed neural activity of a single human cortical gyrus. We found robust field potential responses throughout the superior temporal gyrus evoked by speech sounds, and clear phonetic feature selectivity at the resolution of 2 mm inter-electrode distance. Decoding accuracy improved with increasing density of electrodes over all three patients tested. Thin-film ECoG has significant potential for high-density neural interface applications at the scale of a human gyrus. |
| Databáze: | OpenAIRE |
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