• 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

通过将神经群体模型拟合到 EEG 谱推断 α 阻断的简单机制。

Inferring a simple mechanism for alpha-blocking by fitting a neural population model to EEG spectra.

机构信息

Optical Sciences Centre, Swinburne University of Technology, Hawthorn, Victoria, Australia.

Department of Physics and Astronomy, Swinburne University of Technology, Hawthorn, Victoria, Australia.

出版信息

PLoS Comput Biol. 2020 Apr 30;16(4):e1007662. doi: 10.1371/journal.pcbi.1007662. eCollection 2020 Apr.

DOI:10.1371/journal.pcbi.1007662
PMID:32352973
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7217488/
Abstract

Alpha blocking, a phenomenon where the alpha rhythm is reduced by attention to a visual, auditory, tactile or cognitive stimulus, is one of the most prominent features of human electroencephalography (EEG) signals. Here we identify a simple physiological mechanism by which opening of the eyes causes attenuation of the alpha rhythm. We fit a neural population model to EEG spectra from 82 subjects, each showing a different degree of alpha blocking upon opening of their eyes. Though it has been notoriously difficult to estimate parameters by fitting such models, we show how, by regularizing the differences in parameter estimates between eyes-closed and eyes-open states, we can reduce the uncertainties in these differences without significantly compromising fit quality. From this emerges a parsimonious explanation for the spectral differences between states: Changes to just a single parameter, pei, corresponding to the strength of a tonic excitatory input to the inhibitory cortical population, are sufficient to explain the reduction in alpha rhythm upon opening of the eyes. We detect this by comparing the shift in each model parameter between eyes-closed and eyes-open states. Whereas changes in most parameters are weak or negligible and do not scale with the degree of alpha attenuation across subjects, the change in pei increases monotonically with the degree of alpha blocking observed. These results indicate that opening of the eyes reduces alpha activity by increasing external input to the inhibitory cortical population.

摘要

阿尔法阻断(alpha blocking),即在注意力集中于视觉、听觉、触觉或认知刺激时,阿尔法节律减少的现象,是人类脑电图(EEG)信号的最显著特征之一。在这里,我们确定了一种简单的生理机制,即眼睛睁开会导致阿尔法节律衰减。我们拟合了 82 位受试者的 EEG 频谱的神经群体模型,每位受试者在睁开眼睛时都表现出不同程度的阿尔法阻断。尽管通过拟合此类模型来估计参数一直是一个难题,但我们展示了如何通过正则化眼睛闭合和睁开状态之间的参数估计差异,在不显著影响拟合质量的情况下,减少这些差异的不确定性。由此得出一个简单的解释,即状态之间的频谱差异:只需改变单个参数 pei,即可对应于对抑制性皮质群体的持续兴奋性输入的强度,足以解释眼睛睁开时阿尔法节律的减少。我们通过比较每个模型在眼睛闭合和眼睛睁开状态之间的参数变化来检测到这一点。虽然大多数参数的变化较弱或可以忽略不计,并且与受试者之间的阿尔法衰减程度不成比例,但 pei 的变化随着观察到的阿尔法阻断程度单调增加。这些结果表明,眼睛睁开会通过增加对抑制性皮质群体的外部输入来减少阿尔法活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/7217488/49c2d12a8719/pcbi.1007662.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/7217488/195fe076496d/pcbi.1007662.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/7217488/3ce89b59cc82/pcbi.1007662.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/7217488/b9625590901d/pcbi.1007662.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/7217488/eb721556bd90/pcbi.1007662.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/7217488/49c2d12a8719/pcbi.1007662.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/7217488/195fe076496d/pcbi.1007662.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/7217488/3ce89b59cc82/pcbi.1007662.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/7217488/b9625590901d/pcbi.1007662.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/7217488/eb721556bd90/pcbi.1007662.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/7217488/49c2d12a8719/pcbi.1007662.g005.jpg

相似文献

1
Inferring a simple mechanism for alpha-blocking by fitting a neural population model to EEG spectra.通过将神经群体模型拟合到 EEG 谱推断 α 阻断的简单机制。
PLoS Comput Biol. 2020 Apr 30;16(4):e1007662. doi: 10.1371/journal.pcbi.1007662. eCollection 2020 Apr.
2
Topography of visual EEG reactivity in school-age children.学龄儿童视觉脑电图反应的地形图。
Brain Dev. 1999 Jun;21(4):236-43. doi: 10.1016/s0387-7604(99)00015-7.
3
The dark side of the alpha rhythm: fMRI evidence for induced alpha modulation during complete darkness.alpha 节律的阴暗面:完全黑暗中诱导的 alpha 调制的 fMRI 证据。
Eur J Neurosci. 2013 Mar;37(5):795-803. doi: 10.1111/ejn.12083. Epub 2012 Dec 6.
4
EEG differences between eyes-closed and eyes-open resting conditions.闭眼和睁眼静息状态下的脑电图差异。
Clin Neurophysiol. 2007 Dec;118(12):2765-73. doi: 10.1016/j.clinph.2007.07.028. Epub 2007 Oct 2.
5
Estimation of neurophysiological parameters from the waking EEG using a biophysical model of brain dynamics.使用脑动力学生物物理模型从清醒脑电图估计神经生理参数。
J Theor Biol. 2004 Dec 7;231(3):413-33. doi: 10.1016/j.jtbi.2004.07.004.
6
Visual Modulation of Resting State α Oscillations.静息状态α振荡的视觉调制
eNeuro. 2020 Jan 3;7(1). doi: 10.1523/ENEURO.0268-19.2019. Print 2020 Jan/Feb.
7
Parameter estimation and identifiability in a neural population model for electro-cortical activity.针对脑电活动的神经元群体模型中的参数估计和可识别性。
PLoS Comput Biol. 2019 May 30;15(5):e1006694. doi: 10.1371/journal.pcbi.1006694. eCollection 2019 May.
8
Variability of model-free and model-based quantitative measures of EEG.脑电图无模型和基于模型定量测量的变异性
J Integr Neurosci. 2007 Jun;6(2):279-307. doi: 10.1142/s0219635207001520.
9
From eyes-closed to eyes-open: Role of cholinergic projections in EC-to-EO alpha reactivity revealed by combining EEG and MRI.从闭眼到睁眼:结合 EEG 和 MRI 揭示胆碱能投射在 EC-EOα反应性中的作用。
Hum Brain Mapp. 2019 Feb 1;40(2):566-577. doi: 10.1002/hbm.24395. Epub 2018 Sep 25.
10
EEG correlates of postural audio-biofeedback.脑电与姿势音频生物反馈的相关性。
Hum Mov Sci. 2011 Apr;30(2):249-61. doi: 10.1016/j.humov.2010.05.016. Epub 2010 Aug 30.

引用本文的文献

1
Data reconstruction from machine learning models via inverse estimation and Bayesian inference.通过逆估计和贝叶斯推理从机器学习模型进行数据重建。
Sci Rep. 2025 Apr 22;15(1):13856. doi: 10.1038/s41598-025-96215-z.
2
A comprehensive investigation of intracortical and corticothalamic models of the alpha rhythm.对阿尔法节律的皮质内及皮质丘脑模型的全面研究。
PLoS Comput Biol. 2025 Apr 10;21(4):e1012926. doi: 10.1371/journal.pcbi.1012926. eCollection 2025 Apr.
3
Mechanisms underlying EEG power changes during wakefulness in insomnia patients: a model-driven study.

本文引用的文献

1
Parameter estimation and identifiability in a neural population model for electro-cortical activity.针对脑电活动的神经元群体模型中的参数估计和可识别性。
PLoS Comput Biol. 2019 May 30;15(5):e1006694. doi: 10.1371/journal.pcbi.1006694. eCollection 2019 May.
2
On the Physiological Modulation and Potential Mechanisms Underlying Parieto-Occipital Alpha Oscillations.顶枕区阿尔法振荡的生理调节及其潜在机制
Front Comput Neurosci. 2018 Apr 4;12:23. doi: 10.3389/fncom.2018.00023. eCollection 2018.
3
Physiologically based arousal state estimation and dynamics.
失眠患者清醒状态下脑电图功率变化的潜在机制:一项模型驱动研究
Cogn Neurodyn. 2025 Dec;19(1):17. doi: 10.1007/s11571-024-10207-9. Epub 2025 Jan 9.
4
Xenon anaesthesia is associated with a reduction in frontal electroencephalogram peak alpha frequency.氙气麻醉与额叶脑电图α波峰值频率降低有关。
BJA Open. 2024 Dec 1;12:100358. doi: 10.1016/j.bjao.2024.100358. eCollection 2024 Dec.
5
Evolutionary origin of alpha rhythms in vertebrates.脊椎动物中α波的进化起源。
Front Behav Neurosci. 2024 Apr 8;18:1384340. doi: 10.3389/fnbeh.2024.1384340. eCollection 2024.
6
Global nonlinear approach for mapping parameters of neural mass models.全局非线性方法用于映射神经质量模型的参数。
PLoS Comput Biol. 2023 Mar 24;19(3):e1010985. doi: 10.1371/journal.pcbi.1010985. eCollection 2023 Mar.
7
Assessment of Model Accuracy in Eyes Open and Closed EEG Data: Effect of Data Pre-Processing and Validation Methods.睁眼和闭眼脑电图数据中模型准确性的评估:数据预处理和验证方法的影响。
Bioengineering (Basel). 2022 Dec 29;10(1):42. doi: 10.3390/bioengineering10010042.
8
Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex.动态因果建模显示,局部抑制在高级视觉皮层的 alpha 功率调制中起着重要作用。
PLoS Comput Biol. 2022 Dec 27;18(12):e1009988. doi: 10.1371/journal.pcbi.1009988. eCollection 2022 Dec.
9
Central and peripheral nervous system responses to chronic and paced hyperventilation in anxious and healthy subjects.中枢和外周神经系统对焦虑和健康受试者慢性和节奏性过度通气的反应。
Biol Psychol. 2023 Jan;176:108472. doi: 10.1016/j.biopsycho.2022.108472. Epub 2022 Dec 6.
10
Altered excitatory and inhibitory neuronal subpopulation parameters are distinctly associated with tau and amyloid in Alzheimer's disease.阿尔茨海默病中,兴奋性和抑制性神经元亚群参数的改变与tau 和淀粉样蛋白明显相关。
Elife. 2022 May 26;11:e77850. doi: 10.7554/eLife.77850.
基于生理学的唤醒状态估计与动态变化
J Neurosci Methods. 2015 Sep 30;253:55-69. doi: 10.1016/j.jneumeth.2015.06.002. Epub 2015 Jun 11.
4
Thalamocortical Innervation Pattern in Mouse Auditory and Visual Cortex: Laminar and Cell-Type Specificity.小鼠听觉和视觉皮层中的丘脑皮质神经支配模式:层状和细胞类型特异性
Cereb Cortex. 2016 Jun;26(6):2612-25. doi: 10.1093/cercor/bhv099. Epub 2015 May 15.
5
The role of alpha oscillations for illusory perception.α波振荡在错觉感知中的作用。
Behav Brain Res. 2014 Sep 1;271(100):294-301. doi: 10.1016/j.bbr.2014.06.015. Epub 2014 Jun 13.
6
Comparison of approaches for parameter identifiability analysis of biological systems.生物系统参数可识别性分析方法比较。
Bioinformatics. 2014 May 15;30(10):1440-8. doi: 10.1093/bioinformatics/btu006. Epub 2014 Jan 23.
7
Thalamocortical mechanisms for the anteriorization of α rhythms during propofol-induced unconsciousness.丙泊酚诱导意识丧失期间 α 节律前倾的丘脑皮质机制。
J Neurosci. 2013 Jul 3;33(27):11070-5. doi: 10.1523/JNEUROSCI.5670-12.2013.
8
Thalamo-cortical mechanisms underlying changes in amplitude and frequency of human alpha oscillations.人类α 振荡幅度和频率变化的丘脑-皮质机制。
Neuroimage. 2013 Apr 15;70:150-63. doi: 10.1016/j.neuroimage.2012.12.018. Epub 2012 Dec 21.
9
α-band oscillations, attention, and controlled access to stored information.α 波段振荡、注意力与对存储信息的受控访问。
Trends Cogn Sci. 2012 Dec;16(12):606-17. doi: 10.1016/j.tics.2012.10.007. Epub 2012 Nov 7.
10
A canonical model of multistability and scale-invariance in biological systems.生物系统中的多稳定性和标度不变性的典范模型。
PLoS Comput Biol. 2012;8(8):e1002634. doi: 10.1371/journal.pcbi.1002634. Epub 2012 Aug 9.