Ghasemzadeh Nazlar, Rahatabad Fereidoun Nowshiravan, Haghipour Siamak, Miandoab Shabnam Andalibi, Maghooli Keivan
Department of Biomedical Engineering, College of Medical Science and Technologies, Science and Research Branch, Islamic Azad University, Tehran, Iran.
J Biosci. 2023;48.
We examined electrical and optogenetic stimulations to explore their benefits and the effective range of their network effects. The error index () and beta-activity of a network were considered by us as appropriate phenomena to compare stimulations. The basal ganglia (BG) network model considers areas of the brain affected by Parkinson's disease (PD). It consists of the thalamus (TH), subthalamic nucleus (STN), globus pallidus interna (GPi,), and globus pallidus externa (GPe). To control the BG in PD, we stimulated the STN, GPe, and GPi with deep brain stimulation (DBS) and optogenetic stimulation, and to examine TH performance, we used the sensorimotor cortex (SMC). BG network performance was evaluated by measuring how TH responded to SMC input, and how STN, GPe, and Gpi were affected by DBS and optogenetic stimulation as evaluated using and beta-activity. By comparing the firing rates obtained from four applied stimulations at optimal conditions of the model, the effect of each stimulation was studied. The results indicated that applying monophasic DBS causes STN, GPi, and GPe cells to fire regularly, and biphasic DBS leads to increased oscillations between firings of STN cells; three-state optogenetic inhibition using halorhodopsin (NpHR) synchronizes the firing of GPe and GPi, and suppresses the neural activity of STN; and four-state optogenetic excitation using channelrhodopsin-2 (ChR2) incites the STN to excite and depolarize neural activity. All these events avoided pathological activation of PD and returned the performance to that of the healthy state. Finally, to evaluate our suggested method, we measured the beta-activity of monophasic and biphasic DBS and optogenetic inhibition and excitation by varying the electrical stimulation intensity (A) and optical stimulation intensity (A) and obtained optimal values for each state. According to our results, increasing A does not cause immediate decrease of beta-activity in monophasic and biphasic DBS. Increasing A causes immediate decrease of beta-activity in NpHR, which then remains constant. In ChR2 there is no significant relation between beta-activity and A.
我们研究了电刺激和光遗传学刺激,以探索它们的益处及其网络效应的有效范围。我们将网络的误差指数()和β活性视为比较刺激的合适现象。基底神经节(BG)网络模型考虑了受帕金森病(PD)影响的脑区。它由丘脑(TH)、底丘脑核(STN)、内侧苍白球(GPi)和外侧苍白球(GPe)组成。为了控制帕金森病中的基底神经节,我们通过深部脑刺激(DBS)和光遗传学刺激来刺激STN、GPe和GPi,并且为了检查丘脑的性能,我们使用了感觉运动皮层(SMC)。通过测量丘脑对感觉运动皮层输入的反应,以及使用和β活性评估深部脑刺激和光遗传学刺激对STN、GPe和苍白球内侧核的影响,来评估基底神经节网络的性能。通过比较在模型的最佳条件下从四种应用刺激获得的放电率,研究了每种刺激的效果。结果表明,施加单相深部脑刺激会使STN、GPi和GPe细胞有规律地放电,而双相深部脑刺激会导致STN细胞放电之间的振荡增加;使用嗜盐菌视紫红质(NpHR)的三态光遗传学抑制使GPe和GPi的放电同步,并抑制STN的神经活动;使用通道视紫红质-2(ChR2)的四态光遗传学兴奋促使STN激发并使神经活动去极化。所有这些情况都避免了帕金森病的病理性激活,并使性能恢复到健康状态。最后,为了评估我们建议的方法,我们通过改变电刺激强度(A)和光刺激强度(A)来测量单相和双相深部脑刺激以及光遗传学抑制和兴奋的β活性,并获得每种状态的最佳值。根据我们的结果,增加A不会导致单相和双相深部脑刺激中β活性立即降低。增加A会导致NpHR中β活性立即降低,然后保持恒定。在ChR2中,β活性与A之间没有显著关系。