A particularly powerful way of linking specific network states to particular behaviors, is through the study of individual differences. By searching for networks whose variance across individuals accurately predicts their variability in performance on the task of interest, we can create hypotheses about the function of these networks. Through the combination of multiple different tasks, we can begin to attempt to deconstruct the different processes which underlie complex tasks.
In order to better characterize the link between a specific network state and behavior, we must have an objective and robust behavioral tool which reliably predicts individual differences in the observed network state.
Recent research has overturned the notion that the adult brain loses its capacity for plasticity. While the potential for plasticity in the adult brain clearly exists under some circumstances, we still lack an understanding of the possible range for change and of the constraints, as well as what drives them.