Description: The ability to modulate the brain of a specific individual for an exact response relies on precise targeting. Targets are chosen, in many cases, for their effects on distant regions across widespread networks. Connectomics can inform targeting by providing a framework (structural or functional or both) on which to project these long-range networks and model the effect of distinct stimulation across the brain. The use of the connectome to optimize targeting can be considered as advancements along a continuum from a group to the individual. This progression, however, is opposed by the increased resources needed to acquire individual patient connectomes rather than the use of large, available databases. In this session we will present three examples of the current state of the art application of connectome informed targeting. In each case, the optimization of patient specific targeting vs. clinical utility will be described.
