White Matter Network Architecture Guides Direct Electrical Stimulation through Optimal State Transitions.

ABSTRACT: Optimizing direct electrical stimulation for the treatment of neurological disease remains difficult due to an incomplete understanding of its physical propagation through brain tissue. Here, we use network control theory to predict how stimulation spreads through white matter to influence spatially distributed dynamics. We test the theory's predictions using a unique dataset comprising diffusion weighted imaging and electrocorticography in epilepsy patients undergoing grid stimulation. We find statistically significant shared variance between the predicted activity state transitions and the observed activity state transitions. We then use an optimal control framework to posit testable hypotheses regarding which brain states and structural properties will efficiently improve memory encodin

SUBMITTER: Stiso J 

PROVIDER: S-EPMC6849479 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature