Modeling of cerebellar transcranial electrical stimulation effects on hand tremor in Parkinson’s disease
IntroductionParkinson’s disease (PD) is a neurodegenerative disorder with different motor and neurocognitive symptoms. Tremor is a well-known symptom of this disease. Increasing evidence suggested that the cerebellum may substantially contribute to tremors as a clinical symptom of PD. However, the t...
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Frontiers Media S.A.
2023-11-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1187157/full |
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| author | Soraya Rahimi Soraya Rahimi Farzad Towhidkhah Golnaz Baghdadi Bijan Forogh Payam Saadat Ghazaleh Soleimani Seyed Amirhassan Habibi |
| author_facet | Soraya Rahimi Soraya Rahimi Farzad Towhidkhah Golnaz Baghdadi Bijan Forogh Payam Saadat Ghazaleh Soleimani Seyed Amirhassan Habibi |
| author_sort | Soraya Rahimi |
| collection | DOAJ |
| description | IntroductionParkinson’s disease (PD) is a neurodegenerative disorder with different motor and neurocognitive symptoms. Tremor is a well-known symptom of this disease. Increasing evidence suggested that the cerebellum may substantially contribute to tremors as a clinical symptom of PD. However, the theoretical foundations behind these observations are not yet fully understood.MethodsIn this study, a computational model is proposed to consider the role of the cerebellum and to show the effectiveness of cerebellar transcranial alternating current stimulation (tACS) on the rest tremor in participants with PD. The proposed model consists of the cortex, cerebellum, spinal circuit-muscular system (SC-MS), and basal ganglia blocks as the most critical parts of the brain, which are involved in generating rest tremors. The cortex, cerebellum, and SC-MS blocks were modeled using Van der Pol oscillators that interacted through synchronization procedures. Basal ganglia are considered as a regulator of the coupling weights defined between oscillators. In order to evaluate the global behavior of the model, we applied tACS on the cerebellum of fifteen PD patients for 15 min at each patient’s peak frequency of their rest tremors. A tri-axial accelerometer recorded rest tremors before, during, and after the tACS.Results and DiscussionThe simulation of the model provides a suggestion for the possible role of the cerebellum on rest tremors and how cerebellar tACS can affect these tremors. Results of human experiments also showed that the online and offline effects of cerebellar tACS could lead to the reduction of rest tremors significantly by about %76 and %68, respectively. Our findings suggest that the cerebellar tACS could serve as a reliable, therapeutic technique to suppress the PD tremor. |
| first_indexed | 2024-03-11T10:47:00Z |
| format | Article |
| id | doaj.art-75276bc14ec44d9a846c999e73a17f13 |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-03-11T10:47:00Z |
| publishDate | 2023-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-75276bc14ec44d9a846c999e73a17f132023-11-14T02:12:01ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652023-11-011510.3389/fnagi.2023.11871571187157Modeling of cerebellar transcranial electrical stimulation effects on hand tremor in Parkinson’s diseaseSoraya Rahimi0Soraya Rahimi1Farzad Towhidkhah2Golnaz Baghdadi3Bijan Forogh4Payam Saadat5Ghazaleh Soleimani6Seyed Amirhassan Habibi7Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, IranDepartment of Neuroscience, University of Montreal, Montreal, QC, CanadaDepartment of Biomedical Engineering, Amirkabir University of Technology, Tehran, IranDepartment of Biomedical Engineering, Amirkabir University of Technology, Tehran, IranNeuromusculoskeletal Research Center, Iran University of Medical Sciences, Tehran, IranMobility Impairment Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, IranDepartment of Biomedical Engineering, Amirkabir University of Technology, Tehran, IranDepartment of Neurology, Hazrat Rasool Hospital, Iran University of Medical Sciences, Tehran, IranIntroductionParkinson’s disease (PD) is a neurodegenerative disorder with different motor and neurocognitive symptoms. Tremor is a well-known symptom of this disease. Increasing evidence suggested that the cerebellum may substantially contribute to tremors as a clinical symptom of PD. However, the theoretical foundations behind these observations are not yet fully understood.MethodsIn this study, a computational model is proposed to consider the role of the cerebellum and to show the effectiveness of cerebellar transcranial alternating current stimulation (tACS) on the rest tremor in participants with PD. The proposed model consists of the cortex, cerebellum, spinal circuit-muscular system (SC-MS), and basal ganglia blocks as the most critical parts of the brain, which are involved in generating rest tremors. The cortex, cerebellum, and SC-MS blocks were modeled using Van der Pol oscillators that interacted through synchronization procedures. Basal ganglia are considered as a regulator of the coupling weights defined between oscillators. In order to evaluate the global behavior of the model, we applied tACS on the cerebellum of fifteen PD patients for 15 min at each patient’s peak frequency of their rest tremors. A tri-axial accelerometer recorded rest tremors before, during, and after the tACS.Results and DiscussionThe simulation of the model provides a suggestion for the possible role of the cerebellum on rest tremors and how cerebellar tACS can affect these tremors. Results of human experiments also showed that the online and offline effects of cerebellar tACS could lead to the reduction of rest tremors significantly by about %76 and %68, respectively. Our findings suggest that the cerebellar tACS could serve as a reliable, therapeutic technique to suppress the PD tremor.https://www.frontiersin.org/articles/10.3389/fnagi.2023.1187157/fullcomputational modelingrest tremortranscranial alternating electrical stimulationcerebellumoscillators |
| spellingShingle | Soraya Rahimi Soraya Rahimi Farzad Towhidkhah Golnaz Baghdadi Bijan Forogh Payam Saadat Ghazaleh Soleimani Seyed Amirhassan Habibi Modeling of cerebellar transcranial electrical stimulation effects on hand tremor in Parkinson’s disease Frontiers in Aging Neuroscience computational modeling rest tremor transcranial alternating electrical stimulation cerebellum oscillators |
| title | Modeling of cerebellar transcranial electrical stimulation effects on hand tremor in Parkinson’s disease |
| title_full | Modeling of cerebellar transcranial electrical stimulation effects on hand tremor in Parkinson’s disease |
| title_fullStr | Modeling of cerebellar transcranial electrical stimulation effects on hand tremor in Parkinson’s disease |
| title_full_unstemmed | Modeling of cerebellar transcranial electrical stimulation effects on hand tremor in Parkinson’s disease |
| title_short | Modeling of cerebellar transcranial electrical stimulation effects on hand tremor in Parkinson’s disease |
| title_sort | modeling of cerebellar transcranial electrical stimulation effects on hand tremor in parkinson s disease |
| topic | computational modeling rest tremor transcranial alternating electrical stimulation cerebellum oscillators |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1187157/full |
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