Executive Function Brain Network Activation Predicts Driving Hazard Detection in ADHD.

Area of Science:

• Neuroscience
• Psychology
• Transportation Safety

Background:

• Individuals with neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), face elevated risks in driving.
• Effective hazard detection is crucial for driving safety and skill proficiency.

Purpose of the Study:

• To investigate neural responses during driving hazard detection in individuals with ASD, ADHD, and typically developing (TD) controls.
• To explore the relationship between brain activation in executive function (EF) and theory of mind (ToM) networks and driving behavior.

Main Methods:

• Functional magnetic resonance imaging (fMRI) was employed to measure neural activity during a hazard detection task.
• Participants (12 ASD, 15 ADHD, 13 TD, ages 16-30) completed a driving simulator task and an in-scanner hazard detection task.
• Reaction times (RT) to social and nonsocial hazards were recorded and correlated with brain activation patterns.

Main Results:

• Stronger activation in the EF network (dorsolateral prefrontal cortex, posterior parietal cortex) during social hazard processing correlated with faster RT to social hazards in drivers with ADHD.
• No significant relationship was found between EF network activation and RT for social hazards in drivers with ASD or TD drivers.
• No association was observed between ToM network activation and RT to social hazards across any participant group.

Conclusions:

• This study provides initial evidence linking executive function network brain activation to driving performance in individuals with ADHD.
• Altered EF network function may contribute to driving behaviors observed in ADHD.
• The findings establish a foundation for future research correlating neural activity with driving behavior in NDD populations.