Abstract：
Deep brain stimulation(DBS) has become an effective intervention for advanced Parkinson\'s disease(PD), but the exact mechanism of DBS is still unclear. In this review, we discuss the history of DBS, the anatomy and internal architecture of the basal ganglia (BG), the abnormal pathological changes of the BG in PD, and how computational models can help understand and advance DBS. We also describe two types of models: mathematical theoretical models and clinical predictive models. Mathematical theoretical models simulate neurons or neural networks of BG to shed light on the mechanistic principle underlying DBS, while clinical predictive models focus more on patients\' outcomes, helping to adapt treatment plans for each patient and advance novel electrode designs. Finally, we provide insights and an outlook on future technologies.
摘要：
脑深部电刺激(DBS)已成为晚期帕金森病(PD)的有效干预措施,但DBS的确切机制尚不清楚。在这次审查中,我们讨论星展银行的历史，基底神经节（BG）的解剖结构和内部结构，PD中BG的异常病理变化，以及计算模型如何帮助理解和推进DBS。我们还描述了两种类型的模型：数学理论模型和临床预测模型。数学理论模型模拟BG的神经元或神经网络，以阐明DBS背后的机械原理，虽然临床预测模型更多地关注患者的预后，帮助适应每个患者的治疗计划和推进新的电极设计。最后,我们提供对未来技术的见解和展望。
