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Brain Network Changes in Fatigued Drivers: A Longitudinal Study in a Real-World Environment Based on the Effective
André Fonseca1,2, Scott Kerick3, Jung-Tai King4
1Center of Mathematics, Computation and Cognition, Federal University of ABC, São Paulo, Brazil.
Frontiers in Human Neuroscience
|November 29, 2018
Summary
Neurophysiological changes during driving reveal fatigue mechanisms. Combining electroencephalography (EEG), actigraphy, and behavioral data offers new insights into alertness decline and aids in developing fatigue countermeasures.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Transportation Safety
Background:
- Fatigue is a major cause of vehicle accidents.
- Alertness fluctuations during driving are linked to brain network connectivity changes.
- Sleep quality and time on task significantly impact driver alertness.
Purpose of the Study:
- To investigate neurophysiological changes related to driver fatigue.
- To explore shifts in effective brain connectivity during sustained driving.
- To determine if combined EEG, actigraphy, and behavioral data can reveal fatigue indicators.
Main Methods:
- Conducted a 5-month longitudinal study with daily actigraphy and electroencephalography (EEG) data collection.
- Utilized a sustained-attention driving task in a near-real-world setting.
- Analyzed dynamical coupling between brain areas using Convergent Cross Mapping to assess effective connectivity shifts across frequency bands.
Main Results:
- Identified driver fatigue levels using a performance index based on reaction times and a sleep quality predictive score.
- Observed shifts in effective connectivity across different frequency bands correlating with fatigue.
- Demonstrated that combined EEG, behavioral, and actigraphy data reveal novel features of alertness decline.
Conclusions:
- Integrating EEG, behavioral, and actigraphy data provides a comprehensive approach to understanding driver fatigue.
- Directed connectivity measures like Convergent Cross Mapping are valuable for detecting fatigue-related brain changes.
- Findings support the development of advanced fatigue countermeasure devices for drivers.
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