Advances in the Deep Brain Stimulation for Parkinson’s Disease

Abstract

Parkinson’s disease (PD) is a neurodegenerative disease. The subject of PD patients are between 60 and 90 years old, and human patients suffer from PD before the age of 50 are particularly small. Deep brain stimulation (DBS) is one of the most efficient method to treat PD. It is found that there are some problems in the current clinical use of DBS (which is always called conventional deep brain stimulation (cDBS), such as the adjustment of parameters requires doctors to adjust parameters by experience. In the improvement process of DBS, adaptive deep brain stimulation (aDBS) has been widely studied because of its ability to better adjust the parameters. The cDBS is an open-loop system, and aDBS is a closed-loop system which the parameters can be better matched. Artificial intelligence deep brain stimulation (AIDBS) is not only an intelligent device, which can adjust the parameters quickly and accurately, furthermore it can be used to find the biomarkers of PD in future studies.