Abstract
Electroencephalogram (EEG) measurement could help to distinguish the level of consciousness in an individual without requiring a behavioral response, which could be useful as a diagnostic aid in patients with disorders of consciousness. In this study, we explored the EEG-evoked perturbation and analyzed consciousness using event-related spectral perturbation and convolutional neural network. We observed a novel EEG neurophysiological signature that can be used to monitor brain activity during unconsciousness. Also, the performance accuracy in the parietal region was higher than in the frontal region. The sensitivity for conscious experience was 90.9%, whereas sensitivity for unconscious experience was at the chance level in the parietal region. These results could be evidence for the importance of the posterior hot zone and could help shed light on the internal neural dynamics related to conscious experience.
Original language | English |
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Title of host publication | 2018 6th International Conference on Brain-Computer Interface, BCI 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-3 |
Number of pages | 3 |
ISBN (Electronic) | 9781538625743 |
DOIs | |
Publication status | Published - 2018 Mar 9 |
Event | 6th International Conference on Brain-Computer Interface, BCI 2018 - GangWon, Korea, Republic of Duration: 2018 Jan 15 → 2018 Jan 17 |
Publication series
Name | 2018 6th International Conference on Brain-Computer Interface, BCI 2018 |
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Volume | 2018-January |
Other
Other | 6th International Conference on Brain-Computer Interface, BCI 2018 |
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Country/Territory | Korea, Republic of |
City | GangWon |
Period | 18/1/15 → 18/1/17 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- classification
- consciousness
- sedation
- sleep
- transcranial magnetic stimulation
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Behavioral Neuroscience