Age-related changes in midfrontal theta activity during steering control: A driving simulator study

Area of Science:

• Neuroscience
• Cognitive Psychology
• Human Factors Engineering

Background:

• Motor control is crucial for driving and demands significant cognitive resources, especially in older adults.
• Aging impacts cognitive functions, but neural mechanisms underlying age-related changes in driving motor control are understudied.
• Understanding these changes is vital for developing safety interventions for aging drivers.

Purpose of the Study:

• To investigate age-related differences in cognitive control and attention allocation during a simulated driving task.
• To identify neural markers associated with cognitive load during steering in young, middle-aged, and older adults.
• To explore potential age-related limitations in neural resource allocation for motor control in driving.

Main Methods:

• Utilized electroencephalography (EEG) to measure brain activity during a simulated steering task.
• Recorded midfrontal theta power (cognitive control) and posterior alpha power (attention allocation).
• Individualized task difficulty by adapting driving speed for 26 young, 25 middle-aged, and 28 older adults.

Main Results:

• Older adults did not show the expected increase in midfrontal theta power during demanding driving segments, unlike younger and middle-aged adults.
• No significant age-related differences were found in posterior alpha power, indicating similar attention allocation across groups.
• Steering accuracy remained comparable across all age groups, despite differing neural responses.
• The absence of theta power upregulation in older adults suggests cognitive resource saturation or less automatic processing.

Conclusions:

• Older adults may experience cognitive resource saturation during driving, potentially limiting their capacity for motor-related neural processing.
• Age-related changes in cognitive control mechanisms, specifically midfrontal theta activity, are evident in driving tasks.
• Future research should explore interventions to mitigate age-related cognitive load in driving to enhance safety.