期刊
FRONTIERS IN NEUROINFORMATICS
卷 12, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fninf.2018.00065
关键词
BCI; ECoG; scalp-EEG; SSVEP; decoding; beamforming; CCA; cortex
资金
- Strategic Basic Research (SBO) - VLAIO (Flemish Agency for Innovation and Entrepreneurship)
- Hermes Fund of the National Fund for Scientific Research Flanders [SB/151022]
- Belgian Fund for Scientific Research Flanders [G0A0914N, G088314N]
- KU Leuven [PFV/10/008, IDO/12/007, IOF/HB/12/021]
- Interuniversity Attraction Poles Programme Belgian Science Policy [IUAP P7/11]
- Flemish Regional Ministry of Education (Belgium) [GOA 10/019]
- Hercules Foundation [AKUL 043]
We report on a unique electrocorticography (ECoG) experiment in which Steady-State Visual Evoked Potentials (SSVEPs) to frequency-and phase-tagged stimuli were recorded from a large subdural grid covering the entire right occipital cortex of a human subject. The paradigm is popular in EEG-based Brain Computer Interfacing where selectable targets are encoded by different frequency-and/or phase-tagged stimuli. We compare the performance of two state-of-the-art SSVEP decoders on both ECoG-and scalp-recorded EEG signals, and show that ECoG-based decoding is more accurate for very short stimulation lengths (i.e., less than 1 s). Furthermore, whereas the accuracy of scalp-EEG decoding bene fi ts from a multi-electrode approach, to address interfering EEG responses and noise, ECoG decoding enjoys only a marginal improvement as even a single electrode, placed over the posterior part of the primary visual cortex, seems to suf fi ce. This study shows, for the fi rst time, that EEG-based SSVEP decoders can in principle be applied to ECoG, and can be expected to yield faster decoding speeds using less electrodes.
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