Title
Graph Theoretical Analysis Of Eeg Functional Network During Multi-Workload Flight Simulation Experiment In Virtual Reality Environment
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.
Year
DOI
Venue
2017
10.1109/EMBC.2017.8037722
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Neural correlates of consciousness,Virtual reality,Computer science,Flight simulator,Artificial intelligence,Electroencephalography,Graph theory,Computer vision,Simulation,Workload,Preprocessor,Univariate,Machine learning
Conference
2017
ISSN
Citations 
PageRank 
1094-687X
0
0.34
References 
Authors
2
5
Name
Order
Citations
PageRank
Shengqian Zhang100.34
Yuan Zhang212146.72
Yu Sun35213.82
nitish v thakor455995.33
anastasios bezerianos547362.08