• 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

磁共振成像可视化皮层分层模式。

Visualization of cortical lamination patterns with magnetic resonance imaging.

机构信息

Department of Neurobiology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel.

出版信息

Cereb Cortex. 2012 Sep;22(9):2016-23. doi: 10.1093/cercor/bhr277. Epub 2011 Oct 8.

DOI:10.1093/cercor/bhr277
PMID:21983231
Abstract

The ability to image the cortex laminar arrangements in vivo is one of the holy grails of neuroscience. Recent studies have visualized the cortical layers ex vivo and in vivo (on a small region of interest) using high-resolution T(1)/T(2) magnetic resonance imaging (MRI). In this study, we used inversion-recovery (IR) MRI to increase the sensitivity of MRI toward cortical architecture and achieving whole-brain characterization of the layers, in vivo, in 3D on humans and rats. Using the IR measurements, we computed 3D signal intensity plots along the cortex termed corticograms to characterize cortical substructures. We found that cluster analyses of the multi-IR images along the cortex divides it into at least 6 laminar compartments. To validate our observations, we compared the IR-MRI analysis with histology and revealed a correspondence, although these 2 measures do not represent similar quantities. The abilities of the method to segment the cortex into layers were demonstrated on the striate cortex (visualizing the stripe of Gennari) and on the frontal cortex. We conclude that the presented methodology can serve as means to study and characterize individual cortical architecture and organization.

摘要

能够对活体皮层的层状结构进行成像,是神经科学的一大追求。最近的研究已经使用高分辨率 T1/T2 磁共振成像(MRI)对皮质层进行了离体和在体(在小的感兴趣区域)可视化。在这项研究中,我们使用反转恢复(IR)MRI 来提高 MRI 对皮质结构的敏感性,并在人体和大鼠的三维全脑范围内实现了对皮质层的特征描述。通过使用 IR 测量,我们沿着皮质计算了 3D 信号强度图,称为皮质图,以描述皮质亚结构。我们发现,对沿皮质的多 IR 图像进行聚类分析将其分为至少 6 个层状隔室。为了验证我们的观察结果,我们将 IR-MRI 分析与组织学进行了比较,结果显示存在对应关系,尽管这两种方法并不代表类似的量。该方法在纹状皮层(可视化杰纳里条纹)和额皮质上对皮层进行分层的能力得到了证明。我们的结论是,所提出的方法可以用于研究和描述个体皮质结构和组织。

相似文献

1
Visualization of cortical lamination patterns with magnetic resonance imaging.磁共振成像可视化皮层分层模式。
Cereb Cortex. 2012 Sep;22(9):2016-23. doi: 10.1093/cercor/bhr277. Epub 2011 Oct 8.
2
Optimizing T1-weighted imaging of cortical myelin content at 3.0 T.优化 3.0T 下皮质髓鞘含量的 T1 加权成像。
Neuroimage. 2013 Jan 15;65:1-12. doi: 10.1016/j.neuroimage.2012.09.051. Epub 2012 Oct 1.
3
A curvature-based approach to estimate local gyrification on the cortical surface.一种基于曲率的方法来估计皮质表面的局部脑回化。
Neuroimage. 2006 Feb 15;29(4):1224-30. doi: 10.1016/j.neuroimage.2005.08.049. Epub 2005 Oct 11.
4
Generalized multiple-layer appearance of the cerebral cortex with 3D FLAIR 7.0-T MR imaging.三维 FLAIR 7.0-T MR 成像显示大脑皮层广泛性多层外观。
Radiology. 2012 Mar;262(3):995-1001. doi: 10.1148/radiol.11110812.
5
In vivo identification of human cortical areas using high-resolution MRI: an approach to cerebral structure-function correlation.利用高分辨率磁共振成像对人类皮质区域进行活体识别:一种脑结构-功能相关性研究方法
Proc Natl Acad Sci U S A. 2003 Mar 4;100(5):2981-6. doi: 10.1073/pnas.0437896100. Epub 2003 Feb 24.
6
A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI.使用高分辨率定量 MRI 进行活体骨髓构筑分析的主题特定框架。
Neuroimage. 2016 Jan 15;125:94-107. doi: 10.1016/j.neuroimage.2015.10.001. Epub 2015 Oct 9.
7
Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI.利用磁共振成像(MRI)的皮质厚度绘制大脑皮质的解剖学关联图谱(MACACC)。
Neuroimage. 2006 Jul 1;31(3):993-1003. doi: 10.1016/j.neuroimage.2006.01.042. Epub 2006 Apr 19.
8
Functional mapping of rat barrel activation following whisker stimulation using activity-induced manganese-dependent contrast.使用活动诱导的锰依赖性对比技术对触须刺激后大鼠桶状区激活进行功能映射。
Neuroimage. 2007 Jul 15;36(4):1179-88. doi: 10.1016/j.neuroimage.2007.04.010. Epub 2007 Apr 18.
9
A time-saving and facilitating approach for segmentation of anatomically defined cortical regions: MRI volumetry.一种省时且便利的解剖定义皮质区域分割方法:MRI 体绘制。
Psychiatry Res. 2010 Mar 30;181(3):211-8. doi: 10.1016/j.pscychresns.2009.10.003. Epub 2010 Feb 11.
10
Quantitative architectural analysis: a new approach to cortical mapping.定量结构分析:一种用于皮质图谱绘制的新方法。
Anat Embryol (Berl). 2005 Dec;210(5-6):373-86. doi: 10.1007/s00429-005-0028-2.

引用本文的文献

1
Direct segmentation of cortical cytoarchitectonic domains using ultra-high-resolution whole-brain diffusion MRI.使用超高分辨率全脑扩散磁共振成像直接分割皮质细胞构筑区域
Imaging Neurosci (Camb). 2024 Dec 20;2. doi: 10.1162/imag_a_00393. eCollection 2024.
2
Visualizing cortical laminar architecture in the living human brain using next-generation ultra-high-gradient diffusion MRI.使用下一代超高梯度扩散磁共振成像技术可视化活体人类大脑中的皮质层状结构。
Res Sq. 2025 Jun 10:rs.3.rs-6724971. doi: 10.21203/rs.3.rs-6724971/v1.
3
Direct segmentation of cortical cytoarchitectonic domains using ultra-high-resolution whole-brain diffusion MRI.
使用超高分辨率全脑扩散磁共振成像直接分割皮质细胞构筑区域
bioRxiv. 2024 Oct 17:2024.10.14.618245. doi: 10.1101/2024.10.14.618245.
4
A comprehensive protocol for quantitative magnetic resonance imaging of the brain at 3 Tesla.3T 磁共振脑全面定量成像协议
PLoS One. 2024 May 31;19(5):e0297244. doi: 10.1371/journal.pone.0297244. eCollection 2024.
5
Clustering the cortical laminae: in vivo parcellation.皮层层聚类:在体分区。
Brain Struct Funct. 2024 Mar;229(2):443-458. doi: 10.1007/s00429-023-02748-2. Epub 2024 Jan 9.
6
Seven Tesla MRI in Alzheimer's disease research: State of the art and future directions: A narrative review.7T磁共振成像在阿尔茨海默病研究中的应用:现状与未来方向:一篇综述性文章
AIMS Neurosci. 2023 Dec 11;10(4):401-422. doi: 10.3934/Neuroscience.2023030. eCollection 2023.
7
Mapping the individual human cortex using multidimensional MRI and unsupervised learning.使用多维磁共振成像和无监督学习绘制个体人类大脑皮层图谱。
Brain Commun. 2023 Oct 6;5(6):fcad258. doi: 10.1093/braincomms/fcad258. eCollection 2023.
8
Expanding connectomics to the laminar level: A perspective.将连接组学扩展到层状水平:一种观点。
Netw Neurosci. 2023 Jun 30;7(2):377-388. doi: 10.1162/netn_a_00304. eCollection 2023.
9
Ultra-high-resolution Mapping of Cortical Layers 3T-Guided 7T MRI.皮质层的超高分辨率映射:3T引导的7T磁共振成像
Proc SPIE Int Soc Opt Eng. 2022 Feb-Mar;12032. doi: 10.1117/12.2611857. Epub 2022 Apr 4.
10
Modelling the laminar connectome of the human brain.人类大脑的层状连接组学建模。
Brain Struct Funct. 2022 Jul;227(6):2153-2165. doi: 10.1007/s00429-022-02513-x. Epub 2022 Jun 3.