根据标准地图集大脑表面和切片绘制的人类大脑皮层髓质结构图。

IF 1.8 4区 医学 Q4 NEUROSCIENCES
Translational Neuroscience Pub Date : 2023-12-26 eCollection Date: 2023-01-01 DOI:10.1515/tnsci-2022-0325
Juergen K Mai, Milan Majtanik
{"title":"根据标准地图集大脑表面和切片绘制的人类大脑皮层髓质结构图。","authors":"Juergen K Mai, Milan Majtanik","doi":"10.1515/tnsci-2022-0325","DOIUrl":null,"url":null,"abstract":"<p><p>C. and O. Vogt had set up a research program with the aim of establishing a detailed cartography of the medullary fiber distribution of the human brain. As part of this program, around 200 cortical fields were differentiated based on their myeloarchitectural characteristics and mapped with regard to their exact location in the isocortex. The typical features were graphically documented and classified by a sophisticated linguistic coding. Their results have only recently received adequate attention and applications. The reasons for the revival of this spectrum of their research include interest in the myeloarchitecture of the cortex as a differentiating feature of the cortex architecture and function, as well as the importance for advanced imaging methodologies, particularly tractography and molecular imaging. Here, we describe our approach to exploit the original work of the Vogts and their co-workers to construct a myeloarchitectonic map that is referenced to the Atlas of the Human Brain (AHB) in standard space. We developed a semi-automatic pipeline for processing and integrating the various original maps into a single coherent map. To optimize the precision of the registration between the published maps and the AHB, we augmented the maps with topographic landmarks of the brains that were originally analyzed. Registration of all maps into the AHB opened several possibilities. First, for the majority of the fields, multiple maps from different authors are available, which allows for sophisticated statistical integration, for example, unification with a label-fusion technique. Second, each field in the myeloarchitectonic surface map can be visualized on the myelin-stained cross-section of the AHB at the best possible correspondence. The features of each field can be correlated with the fiber-stained cross-sections in the AHB and with the extensive published materials from the Vogt school and, if necessary, corrected. Third, mapping to the AHB allows the relationship between fiber characteristics of the cortex and the subcortex to be examined. Fourth, the cytoarchitectonic maps from Brodmann and von Economo and Koskinas, which are also registered to the AHB, can be compared. This option allows the study of the correspondence between cyto- and myeloarchitecture in each field. Finally, by using our \"stripe\" technology - where any other feature registered to the same space can be directly compared owing to the linear and parallel representation of the correlated cortex segments - this map becomes part of a multidimensional co-registration platform.</p>","PeriodicalId":23227,"journal":{"name":"Translational Neuroscience","volume":"14 1","pages":"20220325"},"PeriodicalIF":1.8000,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10751573/pdf/","citationCount":"0","resultStr":"{\"title\":\"Myeloarchitectonic maps of the human cerebral cortex registered to surface and sections of a standard atlas brain.\",\"authors\":\"Juergen K Mai, Milan Majtanik\",\"doi\":\"10.1515/tnsci-2022-0325\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>C. and O. Vogt had set up a research program with the aim of establishing a detailed cartography of the medullary fiber distribution of the human brain. As part of this program, around 200 cortical fields were differentiated based on their myeloarchitectural characteristics and mapped with regard to their exact location in the isocortex. The typical features were graphically documented and classified by a sophisticated linguistic coding. Their results have only recently received adequate attention and applications. The reasons for the revival of this spectrum of their research include interest in the myeloarchitecture of the cortex as a differentiating feature of the cortex architecture and function, as well as the importance for advanced imaging methodologies, particularly tractography and molecular imaging. Here, we describe our approach to exploit the original work of the Vogts and their co-workers to construct a myeloarchitectonic map that is referenced to the Atlas of the Human Brain (AHB) in standard space. We developed a semi-automatic pipeline for processing and integrating the various original maps into a single coherent map. To optimize the precision of the registration between the published maps and the AHB, we augmented the maps with topographic landmarks of the brains that were originally analyzed. Registration of all maps into the AHB opened several possibilities. First, for the majority of the fields, multiple maps from different authors are available, which allows for sophisticated statistical integration, for example, unification with a label-fusion technique. Second, each field in the myeloarchitectonic surface map can be visualized on the myelin-stained cross-section of the AHB at the best possible correspondence. The features of each field can be correlated with the fiber-stained cross-sections in the AHB and with the extensive published materials from the Vogt school and, if necessary, corrected. Third, mapping to the AHB allows the relationship between fiber characteristics of the cortex and the subcortex to be examined. Fourth, the cytoarchitectonic maps from Brodmann and von Economo and Koskinas, which are also registered to the AHB, can be compared. This option allows the study of the correspondence between cyto- and myeloarchitecture in each field. Finally, by using our \\\"stripe\\\" technology - where any other feature registered to the same space can be directly compared owing to the linear and parallel representation of the correlated cortex segments - this map becomes part of a multidimensional co-registration platform.</p>\",\"PeriodicalId\":23227,\"journal\":{\"name\":\"Translational Neuroscience\",\"volume\":\"14 1\",\"pages\":\"20220325\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10751573/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translational Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1515/tnsci-2022-0325\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1515/tnsci-2022-0325","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

C.和O.沃格特制定了一项研究计划,旨在绘制人脑髓质纤维分布的详细地图。作为该计划的一部分,大约 200 个皮质区域根据其髓质结构特征进行了区分,并绘制了它们在等皮层中的确切位置图。典型特征以图形记录下来,并通过复杂的语言编码进行分类。他们的研究成果直到最近才得到足够的重视和应用。他们的这一研究领域重获新生的原因包括:人们对皮层髓质结构作为皮层结构和功能区分特征的兴趣,以及对先进成像方法,特别是束成像和分子成像的重视。在此,我们介绍了我们利用 Vogts 及其合作者的原创性工作来构建髓质结构图的方法,该图以标准空间中的《人脑图谱》(AHB)为参照。我们开发了一个半自动管道,用于处理各种原始地图并将其整合为一个单一的连贯地图。为了优化已发布地图与 AHB 之间的配准精度,我们在地图上添加了最初分析的大脑的地形地标。将所有地图注册到 AHB 中提供了几种可能性。首先,对于大多数字段来说,不同作者的多幅地图都是可用的,这样就可以进行复杂的统计整合,例如使用标签融合技术进行统一。其次,髓鞘结构表面图中的每个字段都可以在髓鞘染色的 AHB 截面上以最佳的对应关系进行可视化。每个区域的特征都可以与 AHB 纤维染色横截面以及沃格特学派出版的大量资料进行关联,并在必要时进行修正。第三,映射到 AHB 可以检查皮层和皮层下纤维特征之间的关系。第四,布罗德曼(Brodmann)、冯-伊科诺姆(von Economo)和科斯基纳斯(Koskinas)的细胞结构图也被登记到 AHB 上,可以进行比较。通过这种方法可以研究每个领域中细胞和髓质结构之间的对应关系。最后,通过使用我们的 "条纹 "技术--由于相关皮层片段的线性和平行表示,在同一空间注册的任何其他特征都可以直接进行比较--该地图成为多维共同注册平台的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Myeloarchitectonic maps of the human cerebral cortex registered to surface and sections of a standard atlas brain.

C. and O. Vogt had set up a research program with the aim of establishing a detailed cartography of the medullary fiber distribution of the human brain. As part of this program, around 200 cortical fields were differentiated based on their myeloarchitectural characteristics and mapped with regard to their exact location in the isocortex. The typical features were graphically documented and classified by a sophisticated linguistic coding. Their results have only recently received adequate attention and applications. The reasons for the revival of this spectrum of their research include interest in the myeloarchitecture of the cortex as a differentiating feature of the cortex architecture and function, as well as the importance for advanced imaging methodologies, particularly tractography and molecular imaging. Here, we describe our approach to exploit the original work of the Vogts and their co-workers to construct a myeloarchitectonic map that is referenced to the Atlas of the Human Brain (AHB) in standard space. We developed a semi-automatic pipeline for processing and integrating the various original maps into a single coherent map. To optimize the precision of the registration between the published maps and the AHB, we augmented the maps with topographic landmarks of the brains that were originally analyzed. Registration of all maps into the AHB opened several possibilities. First, for the majority of the fields, multiple maps from different authors are available, which allows for sophisticated statistical integration, for example, unification with a label-fusion technique. Second, each field in the myeloarchitectonic surface map can be visualized on the myelin-stained cross-section of the AHB at the best possible correspondence. The features of each field can be correlated with the fiber-stained cross-sections in the AHB and with the extensive published materials from the Vogt school and, if necessary, corrected. Third, mapping to the AHB allows the relationship between fiber characteristics of the cortex and the subcortex to be examined. Fourth, the cytoarchitectonic maps from Brodmann and von Economo and Koskinas, which are also registered to the AHB, can be compared. This option allows the study of the correspondence between cyto- and myeloarchitecture in each field. Finally, by using our "stripe" technology - where any other feature registered to the same space can be directly compared owing to the linear and parallel representation of the correlated cortex segments - this map becomes part of a multidimensional co-registration platform.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.00
自引率
4.80%
发文量
45
审稿时长
>12 weeks
期刊介绍: Translational Neuroscience provides a closer interaction between basic and clinical neuroscientists to expand understanding of brain structure, function and disease, and translate this knowledge into clinical applications and novel therapies of nervous system disorders.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信