In silico development and validation of Bayesian methods for optimizing deep brain stimulation to enhance cognitive control.
Journal of neural engineering(2023)
摘要
We show that the optimization can converge even with lag between stimulation and effect, and that a complete optimization can be done in a clinically feasible timespan (a few hours). Further, the approach requires no specialized recording or imaging hardware, and thus could be a scalable path to expand the use of DBS in psychiatric and other non-motor applications.
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关键词
Bayesian Optimization,Closed loop,DBS programming,Deep brain stimulation
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