EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving.

Area of Science:

• Neuroscience
• Traffic Safety
• Cognitive Psychology

Background:

• Drowsy driving is a persistent traffic safety concern.
• Previous research linked fatigue to spectral power and cortico-cortical pathways.
• Understanding brain connectivity across fatigue levels is crucial.

Purpose of the Study:

• To investigate the relationship between brain connectivity and driving behavior at varying daily fatigue levels.
• To analyze EEG data transfer entropy to map brain region connections.
• To differentiate connectivity patterns in low, median, and high fatigue states.

Main Methods:

• Utilized electroencephalography (EEG) data transfer entropy.
• Examined brain connectivity across three fatigue levels: low, median, and high.
• Correlated brain connectivity patterns with driving performance metrics.

Main Results:

• An inverted U-shaped connectivity change was observed in low- and medium-fatigue groups correlating with performance.
• Connectivity magnitude decreased in the frontal region as fatigue increased.
• Connectivity magnitude increased in the occipital region with rising fatigue levels.

Conclusions:

• Daily fatigue levels significantly influence brain connectivity.
• Altered brain connectivity in frontal and occipital regions is associated with impaired driving behavior.
• Findings provide insights into the neural mechanisms underlying drowsy driving.