ABSTRACT
Neurofunctional research, a relatively new area of inquiry, seeks to directly measure brain activity as the essential ingredient in models to predict behavioral performance. The major challenge in translating neuroscience research to real-world use is validating that the scenario used in the functional Magnetic Resonance Imaging (fMRI) or magnetoencephalography (MEG) environment is predictive of real-world performance. The neural correlates underlying multitasks in the crash avoidance metrics partnership paradigms were coherent between static lab, fMRI and MEG results. The equivalent technology developed for military field use needs to be as robust, or likely more robust than clinical fMRI. fMRI is a technology that allows monitoring of blood flow in the brain. Driving is an integrated multitask behavior engaging several processes requiring the performance of different but interrelated skills that rely on interconnected visual, motor, and cognitive brain systems, and the associative centers and networks that combine them, similar to complex activities that are performed in military environments.
