A paper titled “Road safety behavior of drivers with neurological diseases affecting cognitive functions: an interdisciplinary Structural Equation Model analysis approach” authored by Dimosthenis Pavlou and George Yannis is now published in Advances in Transportation Studies. This research suggests the evaluation of driving behavior by using multiple driving indexes in a combined integrated manner, through a large-scale driving simulator experiment, comprising medical/neurological and neuropsychological assessments of 225 active drivers, and a set of driving tasks for different traffic volumes, different driving environments, including in-vehicle distraction conditions. The statistical analysis methodology developed and implemented was based on Principal Component Analysis and Structural Equation Models (SEMs). SEM results indicated that the impact of neurological diseases affecting cognitive functions is significantly detrimental on the latent variables “driving performance” and on the observed variables “reaction time” and “accident probability”. The AD group had the worse driving behavior profile among the examined groups with neurological diseases affecting cognitive functions.