Persistent homology broadens the controllable subspace in human structural connectomes
Finding better ways to steer brain networks by looking beyond simple connection counts
Researchers comparing two methods for identifying which brain regions should be targeted to control network activity found that a method based on topological structure and a traditional method based on connection strength cost nearly the same amount of energy—yet steer the brain in fundamentally different ways. The topology-based approach distributes its control across more dimensions of brain state space, giving it more flexibility to reach certain target brain states even when overall energy cost stays the same.
For neuroscience, this means that choosing which brain regions to stimulate or target therapeutically affects not just how much energy is needed, but which brain states become reachable. Two interventions might cost the same overall but produce different outcomes—suggesting that existing energy-based calculations miss important information when designing treatments for neurological conditions or brain stimulation therapies.