A dynamic computational model of the parallel circuit on the basal ganglia-cortex associated with Parkinson's disease dementia.
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| Title: | A dynamic computational model of the parallel circuit on the basal ganglia-cortex associated with Parkinson's disease dementia. |
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| Authors: | Yang, Hao1 (AUTHOR), Yang, XiaoLi1 (AUTHOR) yangxiaoli@snnu.edu.cn, Yan, SiLu1 (AUTHOR) |
| Source: | Biological Cybernetics. Apr2024, Vol. 118 Issue 1/2, p127-143. 17p. |
| Subjects: | Parkinson's disease, Parallel electric circuits, Dopaminergic neurons, Dementia, Caudate nucleus, Dynamic models |
| Abstract: | The cognitive impairment will gradually appear over time in Parkinson's patients, which is closely related to the basal ganglia-cortex network. This network contains two parallel circuits mediated by putamen and caudate nucleus, respectively. Based on the biophysical mean-field model, we construct a dynamic computational model of the parallel circuit in the basal ganglia-cortex network associated with Parkinson's disease dementia. The simulated results show that the decrease of power ratio in the prefrontal cortex is mainly caused by dopamine depletion in the caudate nucleus and is less related to that in the putamen, which indicates Parkinson's disease dementia may be caused by a lesion of the caudate nucleus rather than putamen. Furthermore, the underlying dynamic mechanism behind the decrease of power ratio is investigated by bifurcation analysis, which demonstrates that the decrease of power ratio is due to the change of brain discharge pattern from the limit cycle mode to the point attractor mode. More importantly, the spatiotemporal course of dopamine depletion in Parkinson's disease patients is well simulated, which states that with the loss of dopaminergic neurons projecting to the striatum, motor dysfunction of Parkinson's disease is first observed, whereas cognitive impairment occurs after a period of onset of motor dysfunction. These results are helpful to understand the pathogenesis of cognitive impairment and provide insights into the treatment of Parkinson's disease dementia. [ABSTRACT FROM AUTHOR] |
| Copyright of Biological Cybernetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 177044827 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A dynamic computational model of the parallel circuit on the basal ganglia-cortex associated with Parkinson's disease dementia. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yang%2C+Hao%22">Yang, Hao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+XiaoLi%22">Yang, XiaoLi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yangxiaoli@snnu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yan%2C+SiLu%22">Yan, SiLu</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Biological+Cybernetics%22">Biological Cybernetics</searchLink>. Apr2024, Vol. 118 Issue 1/2, p127-143. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Parkinson's+disease%22">Parkinson's disease</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+electric+circuits%22">Parallel electric circuits</searchLink><br /><searchLink fieldCode="DE" term="%22Dopaminergic+neurons%22">Dopaminergic neurons</searchLink><br /><searchLink fieldCode="DE" term="%22Dementia%22">Dementia</searchLink><br /><searchLink fieldCode="DE" term="%22Caudate+nucleus%22">Caudate nucleus</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+models%22">Dynamic models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The cognitive impairment will gradually appear over time in Parkinson's patients, which is closely related to the basal ganglia-cortex network. This network contains two parallel circuits mediated by putamen and caudate nucleus, respectively. Based on the biophysical mean-field model, we construct a dynamic computational model of the parallel circuit in the basal ganglia-cortex network associated with Parkinson's disease dementia. The simulated results show that the decrease of power ratio in the prefrontal cortex is mainly caused by dopamine depletion in the caudate nucleus and is less related to that in the putamen, which indicates Parkinson's disease dementia may be caused by a lesion of the caudate nucleus rather than putamen. Furthermore, the underlying dynamic mechanism behind the decrease of power ratio is investigated by bifurcation analysis, which demonstrates that the decrease of power ratio is due to the change of brain discharge pattern from the limit cycle mode to the point attractor mode. More importantly, the spatiotemporal course of dopamine depletion in Parkinson's disease patients is well simulated, which states that with the loss of dopaminergic neurons projecting to the striatum, motor dysfunction of Parkinson's disease is first observed, whereas cognitive impairment occurs after a period of onset of motor dysfunction. These results are helpful to understand the pathogenesis of cognitive impairment and provide insights into the treatment of Parkinson's disease dementia. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Biological Cybernetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00422-024-00988-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 127 Subjects: – SubjectFull: Parkinson's disease Type: general – SubjectFull: Parallel electric circuits Type: general – SubjectFull: Dopaminergic neurons Type: general – SubjectFull: Dementia Type: general – SubjectFull: Caudate nucleus Type: general – SubjectFull: Dynamic models Type: general Titles: – TitleFull: A dynamic computational model of the parallel circuit on the basal ganglia-cortex associated with Parkinson's disease dementia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang, Hao – PersonEntity: Name: NameFull: Yang, XiaoLi – PersonEntity: Name: NameFull: Yan, SiLu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 03401200 Numbering: – Type: volume Value: 118 – Type: issue Value: 1/2 Titles: – TitleFull: Biological Cybernetics Type: main |
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