| Effective suppression of beta oscillation in Parkinsonian state via a noisy direct delayed feedback control scheme |
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| 作者姓名： | 于海涛 孟紫寒 刘晨 王江 刘静 |
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| 作者单位： | School of Electrical and Information Engineering;Department of Neurology |
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| 基金项目： | Project supported by Tianjin Natural Science Foundation,China(Grant No.19JCYBJC18800);Tangshan Science and Technology Project,China(Grant No.18130208A);Hebei Science and Technology Project,China(Grant No.18277773D). |
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| 摘 要： | This work explores the function of the noisy direct delayed feedback(NDDF)control strategy in suppressing the pathological oscillations in the basal ganglia(BG)with Parkinson’s disease(PD).Deep brain stimulation(DBS)alleviates the PD state fantastically.However,due to its unclear mechanism and open-loop characteristic,it is challenging to further improve its effects with lower energy expenditure.The noise stimulus performs competitively in alleviating the PD state theoretically,but it cannot adapt to the neural condition timely and automatically due to its open-loop control scheme.The direct delayed feedback(DDF)control strategy is able to disturb excessive synchronous effectively.Therefore,the NDDF control strategy is proposed and researched based on a BG computational model,which can reflect the intrinsic properties of the BG neurons and their connections with thalamic neurons.Simulation results show that the NDDF control strategy with optimal parameters is effective in removing the pathological beta oscillations.By comparison,we find the NDDF control strategy performs more excellent than DDF in alleviating PD state.Additionally,we define the multiple-NDDF control strategy and find that the multiple-NDDF with appropriate parameters performs better than NDDF.The obtained results contribute to the cure for PD symptoms by optimizing the noise-induced improvement of the BG dysfunction.
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| 关 键 词： | basal ganglia neural networks Parkinsonian state noise delayed feedback |
Effective suppression of beta oscillation in Parkinsonian state via a noisy direct delayed feedback control scheme |
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| Hai-Tao Yu,Zi-Han Meng,Chen Liu,Jiang Wang,Jing Liu.Effective suppression of beta oscillation in Parkinsonian state via a noisy direct delayed feedback control scheme[J].Chinese Physics B,2021(3). |
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| Authors: | Hai-Tao Yu Zi-Han Meng Chen Liu Jiang Wang Jing Liu |
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| Affiliation: | (School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China;Department of Neurology,Tangshan Gongren Hospital,Tangshan 063000,China) |
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| Abstract: | This work explores the function of the noisy direct delayed feedback(NDDF) control strategy in suppressing the pathological oscillations in the basal ganglia(BG) with Parkinson's disease(PD). Deep brain stimulation(DBS) alleviates the PD state fantastically. However, due to its unclear mechanism and open-loop characteristic, it is challenging to further improve its effects with lower energy expenditure. The noise stimulus performs competitively in alleviating the PD state theoretically, but it cannot adapt to the neural condition timely and automatically due to its open-loop control scheme. The direct delayed feedback(DDF) control strategy is able to disturb excessive synchronous effectively. Therefore, the NDDF control strategy is proposed and researched based on a BG computational model, which can reflect the intrinsic properties of the BG neurons and their connections with thalamic neurons. Simulation results show that the NDDF control strategy with optimal parameters is effective in removing the pathological beta oscillations. By comparison, we find the NDDF control strategy performs more excellent than DDF in alleviating PD state. Additionally, we define the multiple-NDDF control strategy and find that the multiple-NDDF with appropriate parameters performs better than NDDF. The obtained results contribute to the cure for PD symptoms by optimizing the noise-induced improvement of the BG dysfunction. |
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