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EEG Coherence Metrics for Vigilance: Sensitivity to Workload, Time-on-Task, and Individual Differences.

Altyngul Kamzanova¹, Gerald Matthews², Almira Kustubayeva³

¹Center for Cognitive Neuroscience, Al-Farabi Kazakh National University, 71 al-Farabi Ave, 050040, Almaty, Republic of Kazakhstan.

Applied Psychophysiology and Biofeedback

|April 17, 2020

Summary

Electroencephalogram (EEG) coherence measures show promise for monitoring vigilance and sustained attention. Brain network connectivity, particularly in alpha and theta bands, relates to workload and performance, offering new diagnostic tools.

Keywords:

Coherence Diagnostic monitoring EEG Individual differences Synchronization Vigilance Workload

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Area of Science:

Neuroscience
Cognitive Psychology
Psychophysiology

Background:

Vigilance decrement impacts operational performance across various applied settings.
Current psychophysiological monitoring of vigilance relies heavily on electroencephalogram (EEG) power spectral density.
Alternative EEG measures, such as coherence, may offer novel insights into sustained attention.

Purpose of the Study:

To investigate the diagnostic utility of EEG coherence as a measure of vigilance.
To explore the relationship between EEG coherence in different brain networks and factors like workload and time-on-task.
To determine if individual differences in coherence correlate with sustained attention performance.

Main Methods:

Calculated EEG coherence across seven pre-defined brain networks.
Analyzed the influence of workload and time-on-task on alpha and theta coherence.
Correlated individual differences in coherence with performance metrics.

Main Results:

Workload and time-on-task significantly affected alpha and theta coherence in anterior, central, and inter-hemispheric networks.
Individual variations in coherence within inter-hemispheric, left intro-hemispheric, and posterior networks were linked to performance.
EEG coherence demonstrates potential as a functional connectivity measure for sustained attention.

Conclusions:

EEG coherence metrics show potential for the applied monitoring of vigilance and sustained attention.
Coherence analysis provides insights into brain network dynamics supporting cognitive functions.
Further methodological development is needed to overcome current limitations for practical application.