Stimulation-Based Control of Dynamic Brain Networks.

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TitleStimulation-Based Control of Dynamic Brain Networks.
Publication TypeJournal Article
Year of Publication2016
AuthorsMuldoon, SFeldt, Pasqualetti, F, Gu, S, Cieslak, M, Grafton, ST, Vettel, JM, Bassett, DS
JournalPLoS Comput Biol
Date Published2016 Sep
KeywordsAdult, Brain, Brain Mapping, Computational Biology, Computer Simulation, Electric Stimulation Therapy, Female, Humans, Male, Models, Neurological, Nerve Net, Young Adult

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.

Alternate JournalPLoS Comput. Biol.
PubMed ID27611328
PubMed Central IDPMC5017638
Grant ListR01 DC009209 / DC / NIDCD NIH HHS / United States
R01 HD086888 / HD / NICHD NIH HHS / United States