• 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

相位相关神经元振荡功率相关性的线性模型。

A linear model of phase-dependent power correlations in neuronal oscillations.

机构信息

Research Group: Cortical function and dynamics, Max-Planck-Institute for Brain Research Frankfurt, Germany.

出版信息

Front Comput Neurosci. 2011 Jul 12;5:34. doi: 10.3389/fncom.2011.00034. eCollection 2011.

DOI:10.3389/fncom.2011.00034
PMID:21808618
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3136728/
Abstract

Recently, it has been suggested that effective interactions between two neuronal populations are supported by the phase difference between the oscillations in these two populations, a hypothesis referred to as "communication through coherence" (CTC). Experimental work quantified effective interactions by means of the power correlations between the two populations, where power was calculated on the local field potential and/or multi-unit activity. Here, we present a linear model of interacting oscillators that accounts for the phase dependency of the power correlation between the two populations and that can be used as a reference for detecting non-linearities such as gain control. In the experimental analysis, trials were sorted according to the coupled phase difference of the oscillators while the putative interaction between oscillations was taking place. Taking advantage of the modeling, we further studied the dependency of the power correlation on the uncoupled phase difference, connection strength, and topology. Since the uncoupled phase difference, i.e., the phase relation before the effective interaction, is the causal variable in the CTC hypothesis we also describe how power correlations depend on that variable. For uni-directional connectivity we observe that the width of the uncoupled phase dependency is broader than for the coupled phase. Furthermore, the analytical results show that the characteristics of the phase dependency change when a bidirectional connection is assumed. The width of the phase dependency indicates which oscillation frequencies are optimal for a given connection delay distribution. We propose that a certain width enables a stimulus-contrast dependent extent of effective long-range lateral connections.

摘要

最近,有人提出,两个神经元群体之间的有效相互作用是由这两个群体的振荡之间的相位差支持的,这种假设被称为“相干传递通讯”(CTC)。实验工作通过两个群体之间的局部场电位和/或多单元活动的功率相关性来量化有效相互作用。在这里,我们提出了一个相互作用振荡器的线性模型,该模型考虑了两个群体之间的功率相关性的相位依赖性,并且可以作为检测非线性的参考,例如增益控制。在实验分析中,根据振荡器的耦合相位差对试验进行排序,而振荡之间的假定相互作用正在发生。利用建模,我们进一步研究了功率相关性对未耦合相位差、连接强度和拓扑结构的依赖性。由于未耦合相位差,即有效相互作用之前的相位关系,是 CTC 假设中的因果变量,我们还描述了功率相关性如何依赖于该变量。对于单向连接,我们观察到未耦合相位依赖性的宽度比耦合相位的宽度更宽。此外,分析结果表明,当假设存在双向连接时,相位依赖性的特征会发生变化。相位依赖性的宽度表明对于给定的连接延迟分布,哪些振荡频率是最佳的。我们提出,一定的宽度可以实现刺激对比度相关的有效远程横向连接的程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/76245f9cf7b3/fncom-05-00034-a005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/8d8b165cb304/fncom-05-00034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/6af1701fbf5a/fncom-05-00034-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/a740992d59fc/fncom-05-00034-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/36550f1a2491/fncom-05-00034-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/cf4d31426bf8/fncom-05-00034-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/3c5c02189c83/fncom-05-00034-a001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/1b5d7e826a00/fncom-05-00034-a002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/6537ffb91293/fncom-05-00034-a003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/6d1bd8dbe80e/fncom-05-00034-a004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/76245f9cf7b3/fncom-05-00034-a005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/8d8b165cb304/fncom-05-00034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/6af1701fbf5a/fncom-05-00034-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/a740992d59fc/fncom-05-00034-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/36550f1a2491/fncom-05-00034-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/cf4d31426bf8/fncom-05-00034-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/3c5c02189c83/fncom-05-00034-a001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/1b5d7e826a00/fncom-05-00034-a002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/6537ffb91293/fncom-05-00034-a003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/6d1bd8dbe80e/fncom-05-00034-a004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8394/3136728/76245f9cf7b3/fncom-05-00034-a005.jpg

相似文献

1
A linear model of phase-dependent power correlations in neuronal oscillations.相位相关神经元振荡功率相关性的线性模型。
Front Comput Neurosci. 2011 Jul 12;5:34. doi: 10.3389/fncom.2011.00034. eCollection 2011.
2
Phase correlation among rhythms present at different frequencies: spectral methods, application to microelectrode recordings from visual cortex and functional implications.不同频率下节律之间的相位相关性:频谱方法、在视觉皮层微电极记录中的应用及功能意义。
Int J Psychophysiol. 1997 Jun;26(1-3):171-89. doi: 10.1016/s0167-8760(97)00763-0.
3
Distinct directional couplings between slow and fast gamma power to the phase of theta oscillations in the rat hippocampus.大鼠海马体中慢γ功率与快γ功率到θ振荡相位之间的独特方向耦合。
Eur J Neurosci. 2020 May;51(10):2070-2081. doi: 10.1111/ejn.14644. Epub 2019 Dec 27.
4
A universal description of stochastic oscillators.随机振荡器的通用描述。
Proc Natl Acad Sci U S A. 2023 Jul 18;120(29):e2303222120. doi: 10.1073/pnas.2303222120. Epub 2023 Jul 11.
5
Functional coupling shows stronger stimulus dependency for fast oscillations than for low-frequency components in striate cortex of awake monkey.在清醒猴子的纹状皮质中,功能耦合对快速振荡的刺激依赖性比对低频成分更强。
Eur J Neurosci. 2000 Apr;12(4):1466-78. doi: 10.1046/j.1460-9568.2000.00026.x.
6
Dynamics of globally delay-coupled neurons displaying subthreshold oscillations.呈现阈下振荡的全局延迟耦合神经元的动力学
Philos Trans A Math Phys Eng Sci. 2009 Aug 28;367(1901):3255-66. doi: 10.1098/rsta.2009.0096.
7
Role of local network oscillations in resting-state functional connectivity.局部网络震荡在静息态功能连接中的作用。
Neuroimage. 2011 Jul 1;57(1):130-139. doi: 10.1016/j.neuroimage.2011.04.010. Epub 2011 Apr 12.
8
Synaptic origin and stimulus dependency of neuronal oscillatory activity in the primary visual cortex of the cat.猫初级视觉皮层中神经元振荡活动的突触起源和刺激依赖性
J Physiol. 1997 May 1;500 ( Pt 3)(Pt 3):751-74. doi: 10.1113/jphysiol.1997.sp022056.
9
Communication through coherence with inter-areal delays.通过具有区域间延迟的连贯性进行通信。
Curr Opin Neurobiol. 2015 Apr;31:173-80. doi: 10.1016/j.conb.2014.11.001. Epub 2014 Nov 20.
10
The role of axonal delay in the synchronization of networks of coupled cortical oscillators.轴突延迟在耦合皮质振荡器网络同步中的作用。
J Comput Neurosci. 1997 Apr;4(2):161-72. doi: 10.1023/a:1008843412952.

引用本文的文献

1
A Principle for Describing and Verifying Brain Mechanisms Using Ongoing Activity.一种利用持续活动描述和验证脑机制的原理。
Front Neural Circuits. 2017 Jan 24;11:1. doi: 10.3389/fncir.2017.00001. eCollection 2017.
2
Phase-amplitude coupling and interlaminar synchrony are correlated in human neocortex.相位-振幅耦合与层间同步在人类新皮层中存在相关性。
J Neurosci. 2014 Nov 26;34(48):15923-30. doi: 10.1523/JNEUROSCI.2771-14.2014.
3
Role of frequency mismatch in neuronal communication through coherence.频率失配在通过相干性进行神经元通信中的作用。

本文引用的文献

1
Oscillatory synchronization in large-scale cortical networks predicts perception.大范围皮质网络中的振荡同步预测感知。
Neuron. 2011 Jan 27;69(2):387-96. doi: 10.1016/j.neuron.2010.12.027.
2
Dynamic formation of functional networks by synchronization.通过同步形成功能网络的动态过程。
Neuron. 2011 Jan 27;69(2):191-3. doi: 10.1016/j.neuron.2011.01.008.
3
Membrane potential synchrony in primary visual cortex during sensory stimulation.感觉刺激时初级视觉皮层中的膜电位同步。
J Comput Neurosci. 2014 Oct;37(2):193-208. doi: 10.1007/s10827-014-0495-7. Epub 2014 Feb 12.
4
Task-dependent changes in cross-level coupling between single neurons and oscillatory activity in multiscale networks.任务相关的单神经元和多尺度网络中振荡活动的跨层耦合的变化。
PLoS Comput Biol. 2012;8(12):e1002809. doi: 10.1371/journal.pcbi.1002809. Epub 2012 Dec 20.
Neuron. 2010 Dec 22;68(6):1187-201. doi: 10.1016/j.neuron.2010.11.027.
4
Optimal information transfer in the cortex through synchronization.通过同步实现皮层中的最佳信息传递。
PLoS Comput Biol. 2010 Sep 16;6(9):e1000934. doi: 10.1371/journal.pcbi.1000934.
5
Synchronization as a mechanism for attentional gain modulation.同步作为注意力增益调制的一种机制。
Neurocomputing (Amst). 2004 Jun 1;58-60:641-646. doi: 10.1016/j.neucom.2004.01.108.
6
Corticospinal beta-band synchronization entails rhythmic gain modulation.皮质脊髓β 频带同步涉及节律性增益调制。
J Neurosci. 2010 Mar 24;30(12):4481-8. doi: 10.1523/JNEUROSCI.2794-09.2010.
7
Decorrelated neuronal firing in cortical microcircuits.皮质微电路中去相关的神经元放电。
Science. 2010 Jan 29;327(5965):584-7. doi: 10.1126/science.1179867.
8
Synchronization dynamics in response to plaid stimuli in monkey V1.猴子 V1 对条纹刺激的同步动力学反应。
Cereb Cortex. 2010 Jul;20(7):1556-73. doi: 10.1093/cercor/bhp218. Epub 2009 Oct 7.
9
Cortical enlightenment: are attentional gamma oscillations driven by ING or PING?皮质启发:注意力伽马振荡是由ING还是PING驱动的?
Neuron. 2009 Sep 24;63(6):727-32. doi: 10.1016/j.neuron.2009.09.009.
10
Information encoding and reconstruction from the phase of action potentials.从动作电位的相位中进行信息编码和重建。
Front Syst Neurosci. 2009 Jul 28;3:6. doi: 10.3389/neuro.06.006.2009. eCollection 2009.