EEG-based brain connectivity analysis of states of unawareness

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

EEG-based brain connectivity analysis of states of unawareness. / Li, L.; Witon, Adrien; Marcora, Samuele; Bowman, Howard; Mandic, Danilo P.

Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 1002-5.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Li, L, Witon, A, Marcora, S, Bowman, H & Mandic, DP 2014, EEG-based brain connectivity analysis of states of unawareness. in Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. Institute of Electrical and Electronics Engineers (IEEE), pp. 1002-5, Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, Chicago, United States, 26/08/14. https://doi.org/10.1109/EMBC.2014.6943762

APA

Li, L., Witon, A., Marcora, S., Bowman, H., & Mandic, D. P. (2014). EEG-based brain connectivity analysis of states of unawareness. In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE (pp. 1002-5). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EMBC.2014.6943762

Vancouver

Li L, Witon A, Marcora S, Bowman H, Mandic DP. EEG-based brain connectivity analysis of states of unawareness. In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. Institute of Electrical and Electronics Engineers (IEEE). 2014. p. 1002-5 https://doi.org/10.1109/EMBC.2014.6943762

Author

Li, L. ; Witon, Adrien ; Marcora, Samuele ; Bowman, Howard ; Mandic, Danilo P. / EEG-based brain connectivity analysis of states of unawareness. Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. Institute of Electrical and Electronics Engineers (IEEE), 2014. pp. 1002-5

Bibtex

@inproceedings{a8022ab3175744d4b623b185acd29698,
title = "EEG-based brain connectivity analysis of states of unawareness",
abstract = "This work investigates phase synchrony as a neuro-marker for the identification of two brain states: coma and quasi-brain-death. Scalp electroencephalography (EEG) data of 34 patients were recorded in an intensive care unit (ICU), with 17 recordings for patients in a coma state, and 17 recordings for patients in a quasi-brain-death state. Phase synchrony was used for feature extraction from EEG recording by comparing the phase value between pairs of electrodes using an entropy based measure. In particular, we performed phase synchrony analysis in five standard frequency bands and provide visualization of the phase synchronies in matrices. The effectiveness of the phase synchrony features in each of the frequency bands are evaluated with statistical analysis. Results suggest phase synchrony for coma patients has a significant increase in the theta / alpha band compared to quasi-brain-death patients. Hence, we propose phase synchrony as a candidate for the identification of consciousness states between coma and quasi-brain-death.",
author = "L. Li and Adrien Witon and Samuele Marcora and Howard Bowman and Mandic, {Danilo P}",
year = "2014",
month = aug,
doi = "10.1109/EMBC.2014.6943762",
language = "English",
isbn = "978-1-4244-7929-0",
pages = "1002--5",
booktitle = "Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
note = "Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE ; Conference date: 26-08-2014 Through 30-08-2014",

}

RIS

TY - GEN

T1 - EEG-based brain connectivity analysis of states of unawareness

AU - Li, L.

AU - Witon, Adrien

AU - Marcora, Samuele

AU - Bowman, Howard

AU - Mandic, Danilo P

PY - 2014/8

Y1 - 2014/8

N2 - This work investigates phase synchrony as a neuro-marker for the identification of two brain states: coma and quasi-brain-death. Scalp electroencephalography (EEG) data of 34 patients were recorded in an intensive care unit (ICU), with 17 recordings for patients in a coma state, and 17 recordings for patients in a quasi-brain-death state. Phase synchrony was used for feature extraction from EEG recording by comparing the phase value between pairs of electrodes using an entropy based measure. In particular, we performed phase synchrony analysis in five standard frequency bands and provide visualization of the phase synchronies in matrices. The effectiveness of the phase synchrony features in each of the frequency bands are evaluated with statistical analysis. Results suggest phase synchrony for coma patients has a significant increase in the theta / alpha band compared to quasi-brain-death patients. Hence, we propose phase synchrony as a candidate for the identification of consciousness states between coma and quasi-brain-death.

AB - This work investigates phase synchrony as a neuro-marker for the identification of two brain states: coma and quasi-brain-death. Scalp electroencephalography (EEG) data of 34 patients were recorded in an intensive care unit (ICU), with 17 recordings for patients in a coma state, and 17 recordings for patients in a quasi-brain-death state. Phase synchrony was used for feature extraction from EEG recording by comparing the phase value between pairs of electrodes using an entropy based measure. In particular, we performed phase synchrony analysis in five standard frequency bands and provide visualization of the phase synchronies in matrices. The effectiveness of the phase synchrony features in each of the frequency bands are evaluated with statistical analysis. Results suggest phase synchrony for coma patients has a significant increase in the theta / alpha band compared to quasi-brain-death patients. Hence, we propose phase synchrony as a candidate for the identification of consciousness states between coma and quasi-brain-death.

U2 - 10.1109/EMBC.2014.6943762

DO - 10.1109/EMBC.2014.6943762

M3 - Conference contribution

C2 - 25570130

SN - 978-1-4244-7929-0

SP - 1002

EP - 1005

BT - Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

Y2 - 26 August 2014 through 30 August 2014

ER -