Kumaravelu Karthik, Brocker David T, Grill Warren M
Department of Biomedical Engineering, Duke University, 136 Hudson Hall, Box 90281, Durham, NC, 27708, USA.
Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
J Comput Neurosci. 2016 Apr;40(2):207-29. doi: 10.1007/s10827-016-0593-9. Epub 2016 Feb 11.
Electrical stimulation of sub-cortical brain regions (the basal ganglia), known as deep brain stimulation (DBS), is an effective treatment for Parkinson's disease (PD). Chronic high frequency (HF) DBS in the subthalamic nucleus (STN) or globus pallidus interna (GPi) reduces motor symptoms including bradykinesia and tremor in patients with PD, but the therapeutic mechanisms of DBS are not fully understood. We developed a biophysical network model comprising of the closed loop cortical-basal ganglia-thalamus circuit representing the healthy and parkinsonian rat brain. The network properties of the model were validated by comparing responses evoked in basal ganglia (BG) nuclei by cortical (CTX) stimulation to published experimental results. A key emergent property of the model was generation of low-frequency network oscillations. Consistent with their putative pathological role, low-frequency oscillations in model BG neurons were exaggerated in the parkinsonian state compared to the healthy condition. We used the model to quantify the effectiveness of STN DBS at different frequencies in suppressing low-frequency oscillatory activity in GPi. Frequencies less than 40 Hz were ineffective, low-frequency oscillatory power decreased gradually for frequencies between 50 Hz and 130 Hz, and saturated at frequencies higher than 150 Hz. HF STN DBS suppressed pathological oscillations in GPe/GPi both by exciting and inhibiting the firing in GPe/GPi neurons, and the number of GPe/GPi neurons influenced was greater for HF stimulation than low-frequency stimulation. Similar to the frequency dependent suppression of pathological oscillations, STN DBS also normalized the abnormal GPi spiking activity evoked by CTX stimulation in a frequency dependent fashion with HF being the most effective. Therefore, therapeutic HF STN DBS effectively suppresses pathological activity by influencing the activity of a greater proportion of neurons in the output nucleus of the BG.
对大脑皮层下区域(基底神经节)进行电刺激,即深部脑刺激(DBS),是治疗帕金森病(PD)的一种有效方法。在丘脑底核(STN)或苍白球内侧部(GPi)进行慢性高频(HF)DBS可减轻PD患者的运动症状,包括运动迟缓及震颤,但DBS的治疗机制尚未完全明确。我们构建了一个生物物理网络模型,该模型由代表健康大鼠和帕金森病大鼠大脑的闭环皮质-基底神经节-丘脑回路组成。通过将皮质(CTX)刺激在基底神经节(BG)核中诱发的反应与已发表的实验结果进行比较,验证了该模型的网络特性。该模型的一个关键涌现特性是产生低频网络振荡。与它们假定的病理作用一致,与健康状态相比,帕金森病状态下模型BG神经元的低频振荡更为明显。我们使用该模型量化了不同频率的STN DBS在抑制GPi低频振荡活动方面的有效性。频率低于40 Hz无效,50 Hz至130 Hz之间的频率,低频振荡功率逐渐降低,高于150 Hz时达到饱和。高频STN DBS通过兴奋和抑制GPe/GPi神经元的放电来抑制GPe/GPi中的病理振荡,高频刺激比低频刺激影响的GPe/GPi神经元数量更多。与病理振荡的频率依赖性抑制类似,STN DBS还以频率依赖性方式使CTX刺激诱发的异常GPi放电活动正常化,高频最为有效。因此,治疗性高频STN DBS通过影响BG输出核中更大比例神经元的活动,有效抑制了病理活动。