Controlling target brain regions by optimal selection of input nodes.

ABSTRACT: The network control theory framework holds great potential to inform neurostimulation experiments aimed at inducing desired activity states in the brain. However, the current applicability of the framework is limited by inappropriate modeling of brain dynamics, and an overly ambitious focus on whole-brain activity control. In this work, we leverage recent progress in linear modeling of brain dynamics (effective connectivity) and we exploit the concept of target controllability to focus on the control of a single region or a small subnetwork of nodes. We discuss when control may be possible with a reasonably low energy cost and few stimulation loci, and give general predictions on where to stimulate depending on the subset of regions one wishes to control. Importantly, using the robustly as

SUBMITTER: Manjunatha KKH 

PROVIDER: S-EPMC10810536 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature