• 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

初级视皮层的视区定位——人类大脑皮层脑磁图成像的挑战。

Retinotopic mapping of the primary visual cortex - a challenge for MEG imaging of the human cortex.

机构信息

The Wellcome Trust Laboratory for MEG Studies, School of Life and Health Sciences, Aston University, Birmingham, UK.

出版信息

Eur J Neurosci. 2011 Aug;34(4):652-61. doi: 10.1111/j.1460-9568.2011.07777.x. Epub 2011 Jul 12.

DOI:10.1111/j.1460-9568.2011.07777.x
PMID:21749494
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3178797/
Abstract

Magnetoencephalography (MEG) can be used to reconstruct neuronal activity with high spatial and temporal resolution. However, this reconstruction problem is ill-posed, and requires the use of prior constraints in order to produce a unique solution. At present there are a multitude of inversion algorithms, each employing different assumptions, but one major problem when comparing the accuracy of these different approaches is that often the true underlying electrical state of the brain is unknown. In this study, we explore one paradigm, retinotopic mapping in the primary visual cortex (V1), for which the ground truth is known to a reasonable degree of accuracy, enabling the comparison of MEG source reconstructions with the true electrical state of the brain. Specifically, we attempted to localize, using a beanforming method, the induced responses in the visual cortex generated by a high contrast, retinotopically varying stimulus. Although well described in primate studies, it has been an open question whether the induced gamma power in humans due to high contrast gratings derives from V1 rather than the prestriate cortex (V2). We show that the beanformer source estimate in the gamma and theta bands does vary in a manner consistent with the known retinotopy of V1. However, these peak locations, although retinotopically organized, did not accurately localize to the cortical surface. We considered possible causes for this discrepancy and suggest that improved MEG/magnetic resonance imaging co-registration and the use of more accurate source models that take into account the spatial extent and shape of the active cortex may, in future, improve the accuracy of the source reconstructions.

摘要

脑磁图(MEG)可用于以高空间和时间分辨率重建神经元活动。然而,这种重建问题是不适定的,需要使用先验约束才能产生唯一的解决方案。目前有许多反演算法,每种算法都采用不同的假设,但在比较这些不同方法的准确性时,一个主要问题是,大脑的真实潜在电状态通常是未知的。在这项研究中,我们探索了一种范式,即初级视觉皮层(V1)的视网膜映射,对于这种范式,大脑的真实电状态在一定程度上是已知的,这使得可以将 MEG 源重建与大脑的真实电状态进行比较。具体来说,我们试图使用 beanforming 方法定位由高对比度、视网膜变化刺激在视觉皮层中产生的诱发反应。虽然在灵长类动物研究中得到了很好的描述,但一个悬而未决的问题是,由于高对比度光栅而在人类中产生的诱导伽马功率是否来自 V1 而不是前纹状皮层(V2)。我们表明,在伽马和 theta 波段的 beanformer 源估计值以与 V1 的已知视网膜图相一致的方式变化。然而,这些峰值位置虽然具有视网膜组织,但并没有准确地定位到皮质表面。我们考虑了这种差异的可能原因,并提出,改进 MEG/磁共振成像配准以及使用更准确的源模型,这些模型考虑到活跃皮层的空间范围和形状,可能会在未来提高源重建的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/a3287a5c1a74/ejn0034-0652-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/8cc1c56135b8/ejn0034-0652-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/36856e5e45c9/ejn0034-0652-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/433353ef00ba/ejn0034-0652-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/e43a53051581/ejn0034-0652-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/e1b480f4842c/ejn0034-0652-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/d68ac6595d39/ejn0034-0652-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/7e694c1d4530/ejn0034-0652-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/a3287a5c1a74/ejn0034-0652-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/8cc1c56135b8/ejn0034-0652-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/36856e5e45c9/ejn0034-0652-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/433353ef00ba/ejn0034-0652-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/e43a53051581/ejn0034-0652-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/e1b480f4842c/ejn0034-0652-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/d68ac6595d39/ejn0034-0652-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/7e694c1d4530/ejn0034-0652-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d9/3178797/a3287a5c1a74/ejn0034-0652-f8.jpg

相似文献

1
Retinotopic mapping of the primary visual cortex - a challenge for MEG imaging of the human cortex.初级视皮层的视区定位——人类大脑皮层脑磁图成像的挑战。
Eur J Neurosci. 2011 Aug;34(4):652-61. doi: 10.1111/j.1460-9568.2011.07777.x. Epub 2011 Jul 12.
2
Source estimates for MEG/EEG visual evoked responses constrained by multiple, retinotopically-mapped stimulus locations.由多个视网膜拓扑映射刺激位置约束的MEG/EEG视觉诱发电位的源估计。
Hum Brain Mapp. 2009 Apr;30(4):1290-309. doi: 10.1002/hbm.20597.
3
Optimization of retinotopy constrained source estimation constrained by prior.基于先验约束的视网膜拓扑约束源估计优化。
Hum Brain Mapp. 2014 May;35(5):1815-33. doi: 10.1002/hbm.22293. Epub 2013 Jul 19.
4
Improved method for retinotopy constrained source estimation of visual-evoked responses.改进的基于视网膜投射约束的视觉诱发电位源估计方法。
Hum Brain Mapp. 2013 Mar;34(3):665-83. doi: 10.1002/hbm.21461. Epub 2011 Nov 18.
5
Investigating spatial specificity and data averaging in MEG.研究脑磁图中的空间特异性和数据平均。
Neuroimage. 2010 Jan 1;49(1):525-38. doi: 10.1016/j.neuroimage.2009.07.043. Epub 2009 Jul 25.
6
From evoked potentials to cortical currents: Resolving V1 and V2 components using retinotopy constrained source estimation without fMRI.从诱发电位到皮层电流:在没有功能磁共振成像的情况下使用视网膜拓扑约束源估计解析V1和V2成分。
Hum Brain Mapp. 2016 May;37(5):1696-709. doi: 10.1002/hbm.23128. Epub 2016 Feb 12.
7
High-resolution retinotopic maps estimated with magnetoencephalography.用脑磁图估计的高分辨率视网膜拓扑图。
Neuroimage. 2017 Jan 15;145(Pt A):107-117. doi: 10.1016/j.neuroimage.2016.10.017. Epub 2016 Oct 12.
8
Partial Correlation-Based Retinotopically Organized Resting-State Functional Connectivity Within and Between Areas of the Visual Cortex Reflects More Than Cortical Distance.基于偏相关的视皮层区域内及区域间视网膜拓扑组织的静息态功能连接所反映的不仅仅是皮层距离。
Brain Connect. 2016 Feb;6(1):57-75. doi: 10.1089/brain.2014.0331.
9
Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic maps.利用模拟功能磁共振成像(fMRI)约束的视网膜拓扑图挑战从脑磁图(MEG)估计皮质活动。
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:4945-8. doi: 10.1109/IEMBS.2007.4353450.
10
Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals.通过功能磁共振成像(fMRI)和脑磁图(MEG)信号重建视网膜脑活动来评估分层贝叶斯方法。
Neuroimage. 2008 Oct 1;42(4):1397-413. doi: 10.1016/j.neuroimage.2008.06.013. Epub 2008 Jun 21.

引用本文的文献

1
Population receptive field models capture the event-related magnetoencephalography response with millisecond resolution.群体感受野模型以毫秒级分辨率捕捉与事件相关的脑磁图响应。
Imaging Neurosci (Camb). 2024 Sep 18;2. doi: 10.1162/imag_a_00285. eCollection 2024.
2
A population receptive field model of the magnetoencephalography response.人群感受野模型的脑磁图反应。
Neuroimage. 2021 Dec 1;244:118554. doi: 10.1016/j.neuroimage.2021.118554. Epub 2021 Sep 10.
3
Spatial specificity of alpha oscillations in the human visual system.

本文引用的文献

1
Induced and evoked neural correlates of orientation selectivity in human visual cortex.诱导和诱发的人类视觉皮层方向选择性的神经相关物。
Neuroimage. 2011 Feb 14;54(4):2983-93. doi: 10.1016/j.neuroimage.2010.11.045. Epub 2010 Nov 27.
2
Practical constraints on estimation of source extent with MEG beamformers.实用约束对 MEG 波束形成器源范围估计的影响。
Neuroimage. 2011 Feb 14;54(4):2732-40. doi: 10.1016/j.neuroimage.2010.10.036. Epub 2010 Oct 20.
3
Visual gamma oscillations and evoked responses: variability, repeatability and structural MRI correlates.
人类视觉系统中 alpha 振荡的空间特异性。
Hum Brain Mapp. 2019 Oct 15;40(15):4432-4440. doi: 10.1002/hbm.24712. Epub 2019 Jul 10.
4
Spatial attention modulates visual gamma oscillations across the human ventral stream.空间注意跨人类腹侧流调制视觉伽马振荡。
Neuroimage. 2018 Feb 1;166:219-229. doi: 10.1016/j.neuroimage.2017.10.069. Epub 2017 Nov 2.
5
From evoked potentials to cortical currents: Resolving V1 and V2 components using retinotopy constrained source estimation without fMRI.从诱发电位到皮层电流:在没有功能磁共振成像的情况下使用视网膜拓扑约束源估计解析V1和V2成分。
Hum Brain Mapp. 2016 May;37(5):1696-709. doi: 10.1002/hbm.23128. Epub 2016 Feb 12.
6
Localization of MEG human brain responses to retinotopic visual stimuli with contrasting source reconstruction approaches.使用对比源重建方法对 MEG 人类大脑对视反应的本地化。
Front Neurosci. 2014 May 27;8:127. doi: 10.3389/fnins.2014.00127. eCollection 2014.
7
Enhanced stimulus-induced gamma activity in humans during propofol-induced sedation.在异丙酚诱导镇静期间,人类的刺激诱导γ活动增强。
PLoS One. 2013;8(3):e57685. doi: 10.1371/journal.pone.0057685. Epub 2013 Mar 6.
8
Effects of spatial frequency on visual evoked magnetic fields.空间频率对视觉诱发电磁场的影响。
Exp Brain Res. 2013 May;226(3):347-55. doi: 10.1007/s00221-013-3440-5. Epub 2013 Feb 16.
9
Elevating endogenous GABA levels with GAT-1 blockade modulates evoked but not induced responses in human visual cortex.通过 GAT-1 阻断提高内源性 GABA 水平可调节人类视觉皮层的诱发性反应而非诱导性反应。
Neuropsychopharmacology. 2013 May;38(6):1105-12. doi: 10.1038/npp.2013.9. Epub 2013 Jan 9.
10
Practical constraints on estimation of source extent with MEG beamformers.实用约束对 MEG 波束形成器源范围估计的影响。
Neuroimage. 2011 Feb 14;54(4):2732-40. doi: 10.1016/j.neuroimage.2010.10.036. Epub 2010 Oct 20.
视觉伽马振荡与诱发电位:变异性、可重复性和结构 MRI 相关性。
Neuroimage. 2010 Feb 15;49(4):3349-57. doi: 10.1016/j.neuroimage.2009.11.045. Epub 2009 Nov 26.
4
The folding fingerprint of visual cortex reveals the timing of human V1 and V2.视皮层的折叠指纹揭示了人类 V1 和 V2 的时间顺序。
Neuroimage. 2010 Feb 1;49(3):2494-502. doi: 10.1016/j.neuroimage.2009.09.022. Epub 2009 Sep 22.
5
Investigating spatial specificity and data averaging in MEG.研究脑磁图中的空间特异性和数据平均。
Neuroimage. 2010 Jan 1;49(1):525-38. doi: 10.1016/j.neuroimage.2009.07.043. Epub 2009 Jul 25.
6
Spectral properties of induced and evoked gamma oscillations in human early visual cortex to moving and stationary stimuli.人类早期视觉皮层中对移动和静止刺激的诱发及引发的伽马振荡的光谱特性。
J Neurophysiol. 2009 Aug;102(2):1241-53. doi: 10.1152/jn.91044.2008. Epub 2009 Jun 10.
7
Resting GABA concentration predicts peak gamma frequency and fMRI amplitude in response to visual stimulation in humans.静息状态下的γ-氨基丁酸(GABA)浓度可预测人类在视觉刺激时的γ波峰值频率和功能磁共振成像(fMRI)信号强度。
Proc Natl Acad Sci U S A. 2009 May 19;106(20):8356-61. doi: 10.1073/pnas.0900728106. Epub 2009 May 4.
8
Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals.通过功能磁共振成像(fMRI)和脑磁图(MEG)信号重建视网膜脑活动来评估分层贝叶斯方法。
Neuroimage. 2008 Oct 1;42(4):1397-413. doi: 10.1016/j.neuroimage.2008.06.013. Epub 2008 Jun 21.
9
Source estimates for MEG/EEG visual evoked responses constrained by multiple, retinotopically-mapped stimulus locations.由多个视网膜拓扑映射刺激位置约束的MEG/EEG视觉诱发电位的源估计。
Hum Brain Mapp. 2009 Apr;30(4):1290-309. doi: 10.1002/hbm.20597.
10
Optimising experimental design for MEG beamformer imaging.优化用于脑磁图波束形成器成像的实验设计。
Neuroimage. 2008 Feb 15;39(4):1788-802. doi: 10.1016/j.neuroimage.2007.09.050. Epub 2007 Oct 10.