Older driver crashes result more from age-related declines in driving abilities rather than risk-taking or careless driving, as is the case for younger drivers. In particular, some of the important factors that lead to automobile crashes include cognitive decrements in memory and visual perceptual skills, visual impairment in acuity, field of view deficits and difficulty in judging and responding to traffic flow. The driving aging study will investigate age-related changes in driving behavior and examine correlation among neuroimaging measures, neuropsychological performance, as well as performance in a full-scale driving simulator. This is a multi-disciplinary study and involves collaborators from Traffic Engineering and Kinesiology. Correlating imaging markers with behavioral measures would enhance understanding of the neural mechanisms underlying age-related differences in driving behavior.
The PI of this project was: Vivek Prabhakaran, MD, PhD
This project was funded by: VP Start Up Funds
The term of this project was: April 2013 to April 2013
The number of subjects scanned during this project was: 25