Data from: Stimulation-based control of dynamic brain networks

The ability to modulate brain states using targeted stimulation is
increasingly being employed to treat neurological disorders and to enhance
human performance. Despite the growing interest in brain stimulation as a
form of neuromodulation, much remains unknown about the network-level
impact of these focal perturbations. To study the system wide impact of
regional stimulation, we employ a data-driven computational model of
nonlinear brain dynamics to systematically explore the effects of targeted
stimulation. Validating predictions from network control theory, we
uncover the relationship between regional controllability and the focal
versus global impact of stimulation, and we relate these findings to
differences in the underlying network architecture. Finally, by mapping
brain regions to cognitive systems, we observe that the default mode
system imparts large global change despite being highly constrained by
structural connectivity. This work forms an important step towards the
development of personalized stimulation protocols for medical treatment or
performance enhancement.