An effective network perspective focused on measuring directional interactions of electroencephalographic in different cortical regions during a sustained attentive task requiring vigilance. A novel measure referred to as dynamic partial directed coherence was used to map the cognitive state of vigilance based on graph theory. In the right parieto-occipital area, the area is significantly higher than in other regions of interest (the areas are 0.601 and 0.632 for out-degree and in-degree, respectively). A similar analysis in the right fronto-central area revealed significant differences in the different cognitive states. Across the six regions of interest, significant differences of in-degree and out-degree based alpha band are observed in the right fronto-central and the right parieto-occipital (P < 0.05). The performance was compared with those from a support vector machine using different network-based phase-locking values, partial directed coherence, and dynamic partial directed coherence. Results show that dynamic partial directed coherence can provide more information about direction (compared with phase-locking values) and accuracy (when compared with partial directed coherence). The graph theoretical analysis shows that the effective network based dynamic partial directed coherence has a small-world property for synchronizing neural activity between brain regions. Moreover, the alpha band is well correlated with the cognitive state compared to other frequency bands.
Cite this article
Volume | Year
Open Access Original Research
EEG effective connectivity networks for an attentive task requiring vigilance based on dynamic partial directed coherence
Songyun Xie1, Yabing Li2,*
1 NPU-TUP Joint Laboratory for Neural Informatics, Northwestern Polytechnical University, Xi’an, Shaanxi Province, 710129, P. R. China
2 School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi Province, 710121, P. R. China
*Correspondence: firstname.lastname@example.org (Yabing Li)
J. Integr. Neurosci. 2020, 19(1), 111–118; https://doi.org/10.31083/j.jin.2020.01.1234
Submitted: 11 November 2019 | Accepted: 7 February 2020 | Published: 30 March 2020
Copyright: © 2020 Xie and Li. Published by IMR press.
This is an open access article under the CC BY-NC 4.0 license (https://creativecommons.org/licenses/by-nc/4.0/)
partial directed coherence