• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

神经组织的解析建模:I. 球形双域模型。

Analytic Modeling of Neural Tissue: I. A Spherical Bidomain.

机构信息

School of Biological and Health Systems Engineering, Arizona State University, 501 E Tyler Mall, Tempe, AZ, 85287-9709, USA.

出版信息

J Math Neurosci. 2016 Dec;6(1):9. doi: 10.1186/s13408-016-0041-1. Epub 2016 Sep 9.

DOI:10.1186/s13408-016-0041-1
PMID:27613652
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5018001/
Abstract

Presented here is a model of neural tissue in a conductive medium stimulated by externally injected currents. The tissue is described as a conductively isotropic bidomain, i.e. comprised of intra and extracellular regions that occupy the same space, as well as the membrane that divides them, and the injection currents are described as a pair of source and sink points. The problem is solved in three spatial dimensions and defined in spherical coordinates [Formula: see text]. The system of coupled partial differential equations is solved by recasting the problem to be in terms of the membrane and a monodomain, interpreted as a weighted average of the intra and extracellular domains. The membrane and monodomain are defined by the scalar Helmholtz and Laplace equations, respectively, which are both separable in spherical coordinates. Product solutions are thus assumed and given through certain transcendental functions. From these electrical potentials, analytic expressions for current density are derived and from those fields the magnetic flux density is calculated. Numerical examples are considered wherein the interstitial conductivity is varied, as well as the limiting case of the problem simplifying to two dimensions due to azimuthal independence. Finally, future modeling work is discussed.

摘要

这里呈现的是一个在导电介质中受外部注入电流刺激的神经组织模型。组织被描述为一个具有各向同性导电性的双域,即由占据相同空间的细胞内和细胞外区域以及分隔它们的膜组成,并且注入电流被描述为一对源和汇点。该问题在三个空间维度上进行求解,并在球坐标系中定义 [公式:见正文]。通过将问题转换为膜和单域问题来求解耦合的偏微分方程组,该单域被解释为细胞内和细胞外区域的加权平均值。膜和单域分别由标量亥姆霍兹和拉普拉斯方程定义,它们在球坐标系中都是可分离的。因此,假设并给出了乘积解,通过某些超越函数。从这些电势中,推导出电流密度的解析表达式,并且从这些场中计算出磁通密度。考虑了一些示例,其中间质电导率发生变化,以及由于方位角独立性,问题简化为二维的极限情况。最后,讨论了未来的建模工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/f229dcb7880d/13408_2016_41_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/487acab28c5a/13408_2016_41_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/1038a4995067/13408_2016_41_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/2fb8a8370fe9/13408_2016_41_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/282e6ac6d377/13408_2016_41_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/03c8d9761558/13408_2016_41_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/3599e21cf760/13408_2016_41_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/f229dcb7880d/13408_2016_41_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/487acab28c5a/13408_2016_41_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/1038a4995067/13408_2016_41_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/2fb8a8370fe9/13408_2016_41_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/282e6ac6d377/13408_2016_41_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/03c8d9761558/13408_2016_41_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/3599e21cf760/13408_2016_41_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab96/5018001/f229dcb7880d/13408_2016_41_Fig7_HTML.jpg

相似文献

1
Analytic Modeling of Neural Tissue: I. A Spherical Bidomain.神经组织的解析建模:I. 球形双域模型。
J Math Neurosci. 2016 Dec;6(1):9. doi: 10.1186/s13408-016-0041-1. Epub 2016 Sep 9.
2
Analysis of bipolar external excitation of spherical tissue by spatially opposed current source and sink points.通过空间上相对的电流源点和电流汇点对球形组织的双极外部激励进行分析。
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:2299-302. doi: 10.1109/EMBC.2015.7318852.
3
Analytic modeling of conductively anisotropic neural tissue.各向异性导电神经组织的解析建模。
J Appl Phys. 2018 Aug 14;124(6):064701. doi: 10.1063/1.5036659. Epub 2018 Aug 10.
4
Simulating the electrical behavior of cardiac tissue using the bidomain model.使用双域模型模拟心脏组织的电行为。
Crit Rev Biomed Eng. 1993;21(1):1-77.
5
On the computational complexity of the bidomain and the monodomain models of electrophysiology.论双域和单域电生理模型的计算复杂性
Ann Biomed Eng. 2006 Jul;34(7):1088-97. doi: 10.1007/s10439-006-9082-z. Epub 2006 May 16.
6
Analytic solution of the anisotropic bidomain equations for myocardial tissue: the effect of adjoining conductive regions.心肌组织各向异性双域方程的解析解:相邻导电区域的影响。
IEEE Trans Biomed Eng. 2005 Oct;52(10):1784-8. doi: 10.1109/TBME.2005.855707.
7
Simulating patterns of excitation, repolarization and action potential duration with cardiac Bidomain and Monodomain models.使用心脏双域和单域模型模拟兴奋、复极化和动作电位持续时间的模式。
Math Biosci. 2005 Sep;197(1):35-66. doi: 10.1016/j.mbs.2005.04.003.
8
Computational techniques for solving the bidomain equations in three dimensions.用于求解三维双域方程的计算技术。
IEEE Trans Biomed Eng. 2002 Nov;49(11):1260-9. doi: 10.1109/TBME.2002.804597.
9
Discrete versus syncytial tissue behavior in a model of cardiac stimulation--I: Mathematical formulation.心脏刺激模型中离散组织与融合组织行为——I:数学公式
IEEE Trans Biomed Eng. 1996 Dec;43(12):1129-40. doi: 10.1109/10.544337.
10
Point source nerve bundle stimulation: effects of fiber diameter and depth on simulated excitation.点源神经束刺激:纤维直径和深度对模拟兴奋的影响
IEEE Trans Biomed Eng. 1990 Jul;37(7):688-98. doi: 10.1109/10.55679.

引用本文的文献

1
Analytic modeling of neural tissue: II. Nonlinear membrane dynamics.神经组织的解析模型:II. 非线性膜动力学
AIP Adv. 2022 Nov 14;12(11):115019. doi: 10.1063/5.0124414. eCollection 2022 Nov.

本文引用的文献

1
Analysis of bipolar external excitation of spherical tissue by spatially opposed current source and sink points.通过空间上相对的电流源点和电流汇点对球形组织的双极外部激励进行分析。
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:2299-302. doi: 10.1109/EMBC.2015.7318852.
2
Generalized cable formalism to calculate the magnetic field of single neurons and neuronal populations.用于计算单个神经元和神经元群体磁场的广义电缆形式理论。
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Oct;90(4):042723. doi: 10.1103/PhysRevE.90.042723. Epub 2014 Oct 28.
3
Magnetic-resonance-based electrical properties tomography: a review.
基于磁共振的电特性层析成像:综述。
IEEE Rev Biomed Eng. 2014;7:87-96. doi: 10.1109/RBME.2013.2297206.
4
Electrical tissue property imaging at low frequency using MREIT.使用磁共振电阻抗断层成像技术进行低频电组织特性成像。
IEEE Trans Biomed Eng. 2014 May;61(5):1390-9. doi: 10.1109/TBME.2014.2298859.
5
Generalized cable theory for neurons in complex and heterogeneous media.复杂异质介质中神经元的广义电缆理论
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Aug;88(2):022709. doi: 10.1103/PhysRevE.88.022709. Epub 2013 Aug 13.
6
Feasibility of magnetic resonance electrical impedance tomography (MREIT) conductivity imaging to evaluate brain abscess lesion: in vivo canine model.磁共振电阻抗断层成像(MREIT)用于评估脑脓肿病变的可行性:体内犬模型。
J Magn Reson Imaging. 2013 Jul;38(1):189-97. doi: 10.1002/jmri.23960. Epub 2012 Dec 12.
7
Generalized theory for current-source-density analysis in brain tissue.脑组织电流源密度分析的广义理论。
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Oct;84(4 Pt 1):041909. doi: 10.1103/PhysRevE.84.041909. Epub 2011 Oct 10.
8
Non-homogeneous extracellular resistivity affects the current-source density profiles of up-down state oscillations.非均匀细胞外电阻率影响上下状态振荡的电流源密度分布。
Philos Trans A Math Phys Eng Sci. 2011 Oct 13;369(1952):3802-19. doi: 10.1098/rsta.2011.0119.
9
Can high-field MREIT be used to directly detect neural activity? Theoretical considerations.高磁场磁共振电阻抗成像能否直接检测神经活动?理论探讨。
Neuroimage. 2010 Aug 1;52(1):205-16. doi: 10.1016/j.neuroimage.2010.04.005. Epub 2010 Apr 9.
10
Does the 1/f frequency scaling of brain signals reflect self-organized critical states?大脑信号的1/f频率标度是否反映了自组织临界状态?
Phys Rev Lett. 2006 Sep 15;97(11):118102. doi: 10.1103/PhysRevLett.97.118102. Epub 2006 Sep 13.