Graph theoretical analysis of EEG functional network during multi-workload flight simulation experiment in virtual reality environment

Shengqian Zhang, Yuan Zhang, Yu Sun, Nitish V Thakor, Anastasios Bezerianos

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

Abstract

The research field of mental workload has attracted abundant researchers as mental workload plays a crucial role in real-life performance and safety. While previous studies have examined the neural correlates of mental workload in 2D scenarios (i.e., presenting stimuli on a computer screen (CS) environment using univariate methods (e.g., EEG channel power), it is still unclear of the findings of one that uses multivariate approach using graphical theory and the effects of a 3D environment (i.e., presenting stimuli on a Virtual Reality (VR)). In this study, twenty subjects undergo flight simulation in both CS and VR environment with three stages each. After preprocessing, the Electroencephalogram (EEG) signals were a connectivity matrix based on Phase Lag Index (PLI) will be constructed. Graph theory analysis then will be applied based on their global efficiency, local efficiency and nodal efficiency on both alpha and theta band. For global efficiency and local efficiency, VR values are generally lower than CS in both bands. For nodal efficiency, the regions that show at least marginally significant decreases are very different for CS and VR. These findings suggest that 3D simulation effects a higher mental workload than 2D simulation and that they each involved a different brain region.

Original languageEnglish (US)
Title of host publication2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationSmarter Technology for a Healthier World, EMBC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3957-3960
Number of pages4
ISBN (Electronic)9781509028092
DOIs
StatePublished - Sep 13 2017
Externally publishedYes
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of
Duration: Jul 11 2017Jul 15 2017

Other

Other39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
CountryKorea, Republic of
CityJeju Island
Period7/11/177/15/17

Fingerprint

Electroencephalography
Workload
Virtual reality
Experiments
Graph theory
Research Personnel
Safety
Brain
Research

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Zhang, S., Zhang, Y., Sun, Y., Thakor, N. V., & Bezerianos, A. (2017). Graph theoretical analysis of EEG functional network during multi-workload flight simulation experiment in virtual reality environment. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 3957-3960). [8037722] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8037722

Graph theoretical analysis of EEG functional network during multi-workload flight simulation experiment in virtual reality environment. / Zhang, Shengqian; Zhang, Yuan; Sun, Yu; Thakor, Nitish V; Bezerianos, Anastasios.

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3957-3960 8037722.

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

Zhang, S, Zhang, Y, Sun, Y, Thakor, NV & Bezerianos, A 2017, Graph theoretical analysis of EEG functional network during multi-workload flight simulation experiment in virtual reality environment. in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8037722, Institute of Electrical and Electronics Engineers Inc., pp. 3957-3960, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, Korea, Republic of, 7/11/17. https://doi.org/10.1109/EMBC.2017.8037722
Zhang S, Zhang Y, Sun Y, Thakor NV, Bezerianos A. Graph theoretical analysis of EEG functional network during multi-workload flight simulation experiment in virtual reality environment. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 3957-3960. 8037722 https://doi.org/10.1109/EMBC.2017.8037722
Zhang, Shengqian ; Zhang, Yuan ; Sun, Yu ; Thakor, Nitish V ; Bezerianos, Anastasios. / Graph theoretical analysis of EEG functional network during multi-workload flight simulation experiment in virtual reality environment. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 3957-3960
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