Improved control effect of pathological oscillations by using delayed feedback stimulation in neural mass model with pedunculopontine nucleus
Abstract Background The role of delayed feedback stimulation in the discussion of Parkinson's disease (PD) has recently received increasing attention. Stimulation of pedunculopontine nucleus (PPN) is an emerging treatment for PD. However, the effect of PPN in regulating PD is ignored, and the d...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-10-01
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| Series: | Brain and Behavior |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/brb3.3183 |
| _version_ | 1797660816922640384 |
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| author | Yingpeng Liu Rui Zhu Ye Zhou Jiali Lü Yuan Chai |
| author_facet | Yingpeng Liu Rui Zhu Ye Zhou Jiali Lü Yuan Chai |
| author_sort | Yingpeng Liu |
| collection | DOAJ |
| description | Abstract Background The role of delayed feedback stimulation in the discussion of Parkinson's disease (PD) has recently received increasing attention. Stimulation of pedunculopontine nucleus (PPN) is an emerging treatment for PD. However, the effect of PPN in regulating PD is ignored, and the delayed feedback stimulation algorithm is facing some problems in parameter selection. Methods On the basis of a neural mass model, we established a new network for PPN. Four types of delayed feedback stimulation schemes were designed, such as stimulating subthalamic nucleus (STN) with the local field potentials (LFPs) of STN nucleus, globus pallidus (GPe) with the LFPs of Gpe nucleus, PPN with the LFPs of Gpe nucleus, and STN with the LFPs of PPN nucleus. Results In this study, we found that all four kinds of delayed feedback schemes are effective, suggesting that the algorithm is simple and more effective in experiments. More specifically, the other three control schemes improved the control performance and reduced the stimulation energy expenditure compared with traditional stimulating STN itself only. Conclusion PPN stimulation can affect the new network and help to suppress pathological oscillations for each neuron. We hope that our results can gain an insight into the future clinical treatment. |
| first_indexed | 2024-03-11T18:35:22Z |
| format | Article |
| id | doaj.art-dd29172cef6b4f63af6ce40f3e3a3dd6 |
| institution | Directory Open Access Journal |
| issn | 2162-3279 |
| language | English |
| last_indexed | 2024-03-11T18:35:22Z |
| publishDate | 2023-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Brain and Behavior |
| spelling | doaj.art-dd29172cef6b4f63af6ce40f3e3a3dd62023-10-13T04:20:53ZengWileyBrain and Behavior2162-32792023-10-011310n/an/a10.1002/brb3.3183Improved control effect of pathological oscillations by using delayed feedback stimulation in neural mass model with pedunculopontine nucleusYingpeng Liu0Rui Zhu1Ye Zhou2Jiali Lü3Yuan Chai4School of Mathematics and Physics Shanghai University of Electric Power ShanghaiChinaSchool of Mathematics and Physics Shanghai University of Electric Power ShanghaiChinaSchool of Mathematics and Physics Shanghai University of Electric Power ShanghaiChinaSchool of Mathematics and Physics Shanghai University of Electric Power ShanghaiChinaSchool of Mathematics and Physics Shanghai University of Electric Power ShanghaiChinaAbstract Background The role of delayed feedback stimulation in the discussion of Parkinson's disease (PD) has recently received increasing attention. Stimulation of pedunculopontine nucleus (PPN) is an emerging treatment for PD. However, the effect of PPN in regulating PD is ignored, and the delayed feedback stimulation algorithm is facing some problems in parameter selection. Methods On the basis of a neural mass model, we established a new network for PPN. Four types of delayed feedback stimulation schemes were designed, such as stimulating subthalamic nucleus (STN) with the local field potentials (LFPs) of STN nucleus, globus pallidus (GPe) with the LFPs of Gpe nucleus, PPN with the LFPs of Gpe nucleus, and STN with the LFPs of PPN nucleus. Results In this study, we found that all four kinds of delayed feedback schemes are effective, suggesting that the algorithm is simple and more effective in experiments. More specifically, the other three control schemes improved the control performance and reduced the stimulation energy expenditure compared with traditional stimulating STN itself only. Conclusion PPN stimulation can affect the new network and help to suppress pathological oscillations for each neuron. We hope that our results can gain an insight into the future clinical treatment.https://doi.org/10.1002/brb3.3183delayed feedback stimulationneural mass modelParkinson's diseasepedunculopontine nucleus |
| spellingShingle | Yingpeng Liu Rui Zhu Ye Zhou Jiali Lü Yuan Chai Improved control effect of pathological oscillations by using delayed feedback stimulation in neural mass model with pedunculopontine nucleus Brain and Behavior delayed feedback stimulation neural mass model Parkinson's disease pedunculopontine nucleus |
| title | Improved control effect of pathological oscillations by using delayed feedback stimulation in neural mass model with pedunculopontine nucleus |
| title_full | Improved control effect of pathological oscillations by using delayed feedback stimulation in neural mass model with pedunculopontine nucleus |
| title_fullStr | Improved control effect of pathological oscillations by using delayed feedback stimulation in neural mass model with pedunculopontine nucleus |
| title_full_unstemmed | Improved control effect of pathological oscillations by using delayed feedback stimulation in neural mass model with pedunculopontine nucleus |
| title_short | Improved control effect of pathological oscillations by using delayed feedback stimulation in neural mass model with pedunculopontine nucleus |
| title_sort | improved control effect of pathological oscillations by using delayed feedback stimulation in neural mass model with pedunculopontine nucleus |
| topic | delayed feedback stimulation neural mass model Parkinson's disease pedunculopontine nucleus |
| url | https://doi.org/10.1002/brb3.3183 |
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