Abstract
Deep Brain Stimulation (DBS) is a widely-used and effective therapeutic strategy for Parkinson’s Disease (PD). However, many previous studies observed non-significant effects and/or reported severe side effects of DBS. One possible reason is that the continuous DBS with a constant simulation pattern cannot provide an appropriate modulation to the neural network, of which the dynamics switch rapidly between different neural states and changes gradually along with the progression of disease. A novel intelligent DBS with neural feedbacks holds great promise to improve the effects and efficiency of DBS.
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