Microelectrode recordings (MER) signals with subthalami nucleus (STN) deep brain stimulation (DBS) local field potentials (LFP) in basal ganglion circuitry in Parkinsonians

V. R. Raju
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Abstract

Since last 10 years, the authors have established what seems designate a extremely effective phenomenological model-prototype for evaluating the D B S in alleviating symptoms of Parkinson disease (PD). In this study, we broaden the scope of the model applying it to predict the computation and then generating more frequencies as of net-works (NW) tuned to a particular frequency, in fact not an self - oscillatory in any way. Two main issues discussed, 1. basic and fundamental systems are connected (or coupled) in an excitatory vogue, that is designated by ‘+ / +’, 2. Where the basic/constituent systems are connected in excitatory-inhibitory way, designated by ‘+ / -’. It expects that as of a ‘basic-system’ tuned-to tremor-frequency such that we can compute/ generate infinite (limitless) range-of-frequencies. Our example specifically, start as of systems that are primarily non oscillatory, which while the connecting coefficient surpasses a certain/threshold-value, the system starts to oscillate by the signal-amplitude that enhances through he connecting/‘coupling-strength’. One more feature-manifestation, that shown to rise by connecting complex net-works based on physiology of basal-ganglia(BG) be exemplified through “root-locus” strategy method that displays enhancing plus reducing oscillatory frequencies, present concurrently, has the theory which their symmetrical average-mean leftovers/remnants significantly continuous as the connecting-strength(amplitude) is speckled. Through this method, we are offering a new utility-tool to comprehend reality also interface of “pathological-oscillations” that trigger, PD plus more ailments ex. Memory, cognition, cognitive-impairment (CI), cognitive dementia (CD), depression, epileptic-seizures, Tourette’s syndrome, Huntington’s disease, and axial symptoms like speech, hallucinations, and gait.
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帕金森病患者丘脑下核(STN)脑深部刺激(DBS)基底神经节回路局部场电位(LFP)微电极记录(MER)信号
在过去的10年里,作者已经建立了一个似乎是指定的非常有效的现象学模型-原型来评估D B S减轻帕金森病(PD)的症状。在这项研究中,我们扩大了模型的范围,应用它来预测计算,然后产生更多的频率作为网络(NW)调谐到一个特定的频率,实际上不是一个自振荡在任何方式。讨论了两个主要问题;基本系统和基本系统以“+ / +”,2表示的兴奋时尚连接(或耦合)。其中基本/组成系统以兴奋-抑制方式连接,用“+ / -”表示。它期望作为一个“基本系统”调谐到振动频率,这样我们就可以计算/产生无限(无限)的频率范围。具体来说,我们的例子从主要是非振荡的系统开始,当连接系数超过一定/阈值时,系统开始通过连接/“耦合强度”增强的信号幅度振荡。另一个特征表现是,通过连接基于基底神经节(BG)生理学的复杂网络而上升,通过“根-轨迹”策略方法举例说明,该方法显示增强和减少振荡频率,同时存在的理论是,它们的对称平均剩余物/残余物随着连接强度(振幅)的斑点化而显著连续。通过这种方法,我们提供了一种新的实用工具来理解现实,以及触发PD和更多疾病的“病理振荡”界面,例如记忆、认知、认知障碍(CI)、认知痴呆(CD)、抑郁、癫痫发作、图雷特氏综合征、亨廷顿氏病,以及语言、幻觉和步态等轴向症状。
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