Exploring interhemispheric connectivity using the directional tract density patterns of the corpus callosum

Q4 Neuroscience Neuroimage. Reports Pub Date : 2023-06-01 DOI:10.1016/j.ynirp.2023.100174
Ali Demir , H. Diana Rosas
{"title":"Exploring interhemispheric connectivity using the directional tract density patterns of the corpus callosum","authors":"Ali Demir ,&nbsp;H. Diana Rosas","doi":"10.1016/j.ynirp.2023.100174","DOIUrl":null,"url":null,"abstract":"<div><p>The corpus callosum (CC) is one of the most important interhemispheric white matter tracts that connects interrelated regions of the cerebral cortex. Its disruption has been investigated in previous studies and has been found to play an important role in several neurodegenerative disorders. Currently available methods to assess the interhemispheric connectivity of the CC have several limitations: i) they require the <em>a priori</em> identification of specific cortical regions as targets or seeds, ii) they are limited by the characterization of only small components of the structure, primarily voxels that constitute the mid-sagittal slice, and iii) they use global measures of microstructural integrity, which provide only limited characterization. In order to address some of these limitations, we developed a novel method that enables the characterization of white matter tracts covering the structure of CC, from the mid-sagittal plane to corresponding regions of cortex, using directional tract density patterns (dTDPs). We demonstrate that different regions of CC have distinctive dTDPs that reflect a unique regional topology. We conducted a pilot study using this approach to evaluate two different datasets collected from healthy subjects, and we demonstrate that this method is reliable, reproducible, and independent of diffusion acquisition parameters, suggesting its potential applicability to clinical applications.</p></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"3 2","pages":"Article 100174"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/23/63/nihms-1909522.PMC10310067.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroimage. Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666956023000193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Neuroscience","Score":null,"Total":0}
引用次数: 0

Abstract

The corpus callosum (CC) is one of the most important interhemispheric white matter tracts that connects interrelated regions of the cerebral cortex. Its disruption has been investigated in previous studies and has been found to play an important role in several neurodegenerative disorders. Currently available methods to assess the interhemispheric connectivity of the CC have several limitations: i) they require the a priori identification of specific cortical regions as targets or seeds, ii) they are limited by the characterization of only small components of the structure, primarily voxels that constitute the mid-sagittal slice, and iii) they use global measures of microstructural integrity, which provide only limited characterization. In order to address some of these limitations, we developed a novel method that enables the characterization of white matter tracts covering the structure of CC, from the mid-sagittal plane to corresponding regions of cortex, using directional tract density patterns (dTDPs). We demonstrate that different regions of CC have distinctive dTDPs that reflect a unique regional topology. We conducted a pilot study using this approach to evaluate two different datasets collected from healthy subjects, and we demonstrate that this method is reliable, reproducible, and independent of diffusion acquisition parameters, suggesting its potential applicability to clinical applications.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用胼胝体定向束密度模式探索半球间连接
胼胝体(CC)是连接大脑皮层相关区域的最重要的半球间白质束之一。先前的研究已经对其破坏进行了研究,并发现其在几种神经退行性疾病中发挥着重要作用。目前可用的评估CC半球间连接性的方法有几个局限性:i)它们需要先验地将特定的皮层区域识别为目标或种子,ii)它们仅受结构的小组件(主要是构成中矢状切片的体素)的特征的限制,以及iii)它们使用微观结构完整性的全局度量,这仅提供有限的表征。为了解决其中的一些局限性,我们开发了一种新的方法,该方法能够使用定向束密度模式(dTDP)来表征覆盖CC结构的白质束,从中矢状面到皮层的相应区域。我们证明CC的不同区域具有独特的dTDP,反映了独特的区域拓扑结构。我们使用这种方法进行了一项试点研究,以评估从健康受试者收集的两个不同的数据集,我们证明了这种方法是可靠的、可重复的,并且独立于扩散采集参数,这表明它可能适用于临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Neuroimage. Reports
Neuroimage. Reports Neuroscience (General)
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
87 days
期刊最新文献
Measuring cognitive load in multitasking using mobile fNIRS MRI-guided clustering of patients with mild dementia due to Alzheimer's disease using self-organizing maps Evaluating state-based network dynamics in anhedonia Unresponsiveness induced by sevoflurane and propofol is associated with reduced basal forebrain cholinergic nuclei functional connectivity in humans, a pilot exploratory study Increased functional connectivity of amygdalar-frontal pathways in patients with alcohol use disorder and childhood trauma
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1