A model of the cortico-basal ganglia network and local field potential during deep brain stimulation

Eleanor Dunn, M. Lowery
{"title":"A model of the cortico-basal ganglia network and local field potential during deep brain stimulation","authors":"Eleanor Dunn, M. Lowery","doi":"10.1109/NER.2015.7146756","DOIUrl":null,"url":null,"abstract":"Oscillatory neural activity in the beta frequency band (12-30 Hz) is elevated in Parkinson's disease and is correlated with the associated motor symptoms. These oscillations, which can be monitored through the local field potential (LFP) recorded by a deep brain stimulation (DBS) electrode, can give insight into the mechanisms of action, as well as treatment efficacy, of DBS. A detailed physiological model of the cortico-basal ganglia network during DBS of the subthalamic nucleus (STN) is presented. The model incorporates extracellular stimulation of STN afferent fibers, with both orthodromic and antidromic activation, and the LFP detected at the electrode. Pathological beta-band oscillations within the cortico-basal ganglia network were simulated and found to be attenuated following the application of DBS. The effects of varying DBS parameters, including pulse amplitude, duration and frequency, on the LFP at the DBS electrode were then assessed. The model presented here can be further used to understand the interaction of DBS with the complex dynamics of the cortico-basal ganglia network and subsequent changes observed in the LFP.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"276 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NER.2015.7146756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Oscillatory neural activity in the beta frequency band (12-30 Hz) is elevated in Parkinson's disease and is correlated with the associated motor symptoms. These oscillations, which can be monitored through the local field potential (LFP) recorded by a deep brain stimulation (DBS) electrode, can give insight into the mechanisms of action, as well as treatment efficacy, of DBS. A detailed physiological model of the cortico-basal ganglia network during DBS of the subthalamic nucleus (STN) is presented. The model incorporates extracellular stimulation of STN afferent fibers, with both orthodromic and antidromic activation, and the LFP detected at the electrode. Pathological beta-band oscillations within the cortico-basal ganglia network were simulated and found to be attenuated following the application of DBS. The effects of varying DBS parameters, including pulse amplitude, duration and frequency, on the LFP at the DBS electrode were then assessed. The model presented here can be further used to understand the interaction of DBS with the complex dynamics of the cortico-basal ganglia network and subsequent changes observed in the LFP.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
脑深部刺激时皮质-基底神经节网络和局部场电位的模型
帕金森病患者β频带(12-30 Hz)的振荡神经活动升高,并与相关的运动症状相关。这些振荡可以通过深部脑刺激(DBS)电极记录的局部场电位(LFP)来监测,可以深入了解DBS的作用机制和治疗效果。提出了丘脑下核(STN) DBS过程中皮质-基底神经节网络的详细生理模型。该模型结合了STN传入纤维的细胞外刺激,具有正态和反态激活,并在电极上检测到LFP。我们模拟了皮层-基底神经节网络内的病理性β带振荡,发现在DBS应用后减弱。然后评估不同DBS参数(包括脉冲幅度、持续时间和频率)对DBS电极LFP的影响。本文提出的模型可以进一步用于理解DBS与皮质-基底神经节网络复杂动态的相互作用,以及随后在LFP中观察到的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
iNODE in-vivo testing for selective vagus nerve recording and stimulation Computational studies on urinary bladder smooth muscle: Modeling ion channels and their role in generating electrical activity Fast calibration of a thirteen-command BCI by simulating SSVEPs from trains of transient VEPs - towards time-domain SSVEP BCI paradigms A hybrid NMES-exoskeleton for real objects interaction Computationally efficient, configurable, causal, real-time phase detection applied to local field potential oscillations
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1