TY - GEN
T1 - Spatiooral analysis of EEG signal during consciousness using convolutional neural network
AU - Lee, Minji
AU - Yeom, Seul Ki
AU - Baird, Benjamin
AU - Gosseries, Olivia
AU - Nieminen, Jakko O.
AU - Tononi, Giulio
AU - Lee, Seong Whan
N1 - Funding Information:
This work was supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (No. 2017-0-00451, Development of BCI based Brain and Cognitive Computing
Publisher Copyright:
© 2018 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/3/9
Y1 - 2018/3/9
N2 - 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.
AB - 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.
KW - classification
KW - consciousness
KW - sedation
KW - sleep
KW - transcranial magnetic stimulation
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UR - http://www.scopus.com/inward/citedby.url?scp=85050795936&partnerID=8YFLogxK
U2 - 10.1109/IWW-BCI.2018.8311489
DO - 10.1109/IWW-BCI.2018.8311489
M3 - Conference contribution
AN - SCOPUS:85050795936
T3 - 2018 6th International Conference on Brain-Computer Interface, BCI 2018
SP - 1
EP - 3
BT - 2018 6th International Conference on Brain-Computer Interface, BCI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Brain-Computer Interface, BCI 2018
Y2 - 15 January 2018 through 17 January 2018
ER -