Between-Frequency Topographical and Dynamic High-Order Functional Connectivity for Driving Drowsiness Assessment

Jonathan Harvy, Nitish Thakor, Anastasios Bezerianos, Junhua Li

Research output: Contribution to journalArticlepeer-review

Abstract

Previous studies exploring driving drowsiness utilized spectral power and functional connectivity without considering between-frequency and more complex synchronizations. To complement such lacks, we explored inter-regional synchronizations based on the topographical and dynamic properties between frequency bands using high-order functional connectivity (HOFC) and envelope correlation. We proposed the dynamic interactions of HOFC, associated-HOFC, and a global metric measuring the aggregated effect of the functional connectivity. The EEG dataset was collected from 30 healthy subjects, undergoing two driving sessions. The two-session setting was employed for evaluating the metric reliability across sessions. Based on the results, we observed reliably significant metric changes, mainly involving the alpha band. In HOFCθ α HOFC α β associated-HOFC θ α , and associated-HOFC α β the connection-level metrics in frontal-central, central-central, and central-parietal/occipital areas were significantly increased, indicating a dominance in the central region. Similar results were also obtained in the HOFC θ α β and aHOFC θ α β. For dynamic-low-order-FC and dynamic-HOFC, the global metrics revealed a reliably significant increment in the alpha, theta-alpha, and alpha-beta bands. Modularity indexes of associated-HOFCα and associated-HOFC θ α also exhibited reliably significant differences. This paper demonstrated that within-band and between-frequency topographical and dynamic FC can provide complementary information to the traditional individual-band LOFC for assessing driving drowsiness.

Original languageEnglish (US)
Article number8620342
Pages (from-to)358-367
Number of pages10
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume27
Issue number3
DOIs
StatePublished - Mar 2019
Externally publishedYes

Keywords

  • EEG
  • High-order functional connectivity
  • between-frequency connectivity
  • driving drowsiness
  • dynamic connectivity
  • supra-adjacency matrix

ASJC Scopus subject areas

  • Internal Medicine
  • Neuroscience(all)
  • Biomedical Engineering

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