Marceglia Sara, Rossi Lorenzo, Foffani Guglielmo, Bianchi Annamaria, Cerutti Sergio, Priori Alberto
Università di Milano, Dipartimento di Scienze Neurologiche, Fondazione IRCCS Ospedale Policlinico, Milano, Italy.
Expert Rev Med Devices. 2007 Sep;4(5):605-14. doi: 10.1586/17434440.4.5.605.
The analysis of neural rhythms measured in local field potentials (LFPs) through deep brain stimulation (DBS) electrodes have provided a new insight into brain mechanisms of information processing. The application of novel methodological approaches for LFP analysis is of key importance to uncover the complexity of such mechanisms, thereby clarifying the relationship between the LFP code and patient's clinical state. Thanks to a new device for recording artifact-free LFPs during high-frequency stimulation, DBS-induced neural rhythms modulations and their nonlinear features can be analyzed and used in the development of a new, adaptive DBS approach: the frequency, strength and site of DBS could be controlled, in a closed-loop system, through LFP-based variables obtained through the application of different methodological approaches.
通过深部脑刺激(DBS)电极对局部场电位(LFP)中测量的神经节律进行分析,为大脑信息处理机制提供了新的见解。应用新颖的LFP分析方法对于揭示此类机制的复杂性至关重要,从而阐明LFP编码与患者临床状态之间的关系。得益于一种在高频刺激期间记录无伪迹LFP的新设备,可以分析DBS诱导的神经节律调制及其非线性特征,并将其用于开发一种新的自适应DBS方法:在闭环系统中,可以通过应用不同方法获得的基于LFP的变量来控制DBS的频率、强度和部位。