Abstract
This study aims to use functional magnetic resonance imaging (fMRI) to assess the effective connectivity between the regions of the brain activated when driving and performing a secondary task (addition task). The subjects used an MR-compatible driving simulator ㅊ to manipulate the driving wheel with both hands and control the pedals (accelerator and brake) with their right foot as if they were driving in an actual environment. Effective connectivity analysis was performed for three regions of the right and the left hemispheres with the highest z-scores, and six of the regions of the entire brain (right and left hemisphere) activated during driving by dynamic causal modeling (DCM). In the right hemisphere, a motor control pathway related to movement control for driving performance was discovered; in the left hemisphere, the pathways in the regions related to movement control for driving performance, starting with the region associated with the secondary task, were discovered. In the whole brain, connectivity was discovered in each of the right and left hemispheres. The motor network of declarative memory, which is the connectivity of the right thalamus, left lingual gyrus, and right precentral gyrus, was worth noting. These results seem meaningful, as they demonstrate the connectivity associated with the control of voluntary movement related to memory from human experience, although limited to driving tasks.
Highlights
The development of functional magnetic resonance imaging technology has made it possible to study the functions and connectivity of brain regions
When simultaneously performing driving and secondary tasks, a motor control pathway related to movement control for driving performance was observed in the right hemisphere
The motor network of declarative memory was observed in the region related to movement control for driving performance, starting with the region in the left hemisphere related to the additional task, which was the secondary task
Summary
The development of functional magnetic resonance imaging (fMRI) technology has made it possible to study the functions and connectivity of brain regions. Research on driving, which requires complex cognitive processing, including attention, learning, memory, and decision making, using a driving simulator is ongoing [1,2,3,4,5]. The driver must perform the driving task properly while being careful not to make a mistake, and this requires complex cognitive processing. More than 90% of these required cognitive and judgment processes are based on the information acquired by vision. For this reason, research on the neurological aspects of driving performance mainly focuses on complex cognition, including vision
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