Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer's disease.

Mathematics and visualization Pub Date : 2014-01-01 DOI:10.1007/978-3-319-11182-7_2

Madelaine Daianu, Neda Jahanshad, Julio E Villalon-Reina, Mario F Mendez, George Bartzokis, Elvira E Jimenez, Aditi Joshi, Joseph Barsuglia, Paul M Thompson

{"title":"Rich club network analysis shows distinct patterns of disruption in frontotemporal dementia and Alzheimer's disease.","authors":"Madelaine Daianu, Neda Jahanshad, Julio E Villalon-Reina, Mario F Mendez, George Bartzokis, Elvira E Jimenez, Aditi Joshi, Joseph Barsuglia, Paul M Thompson","doi":"10.1007/978-3-319-11182-7_2","DOIUrl":null,"url":null,"abstract":"<p><p>Diffusion imaging and brain connectivity analyses can reveal the underlying organizational patterns of the human brain, described as complex networks of densely interlinked regions. Here, we analyzed 1.5-Tesla whole-brain diffusion-weighted images from 64 participants - 15 patients with behavioral variant frontotemporal (bvFTD) dementia, 19 with early-onset Alzheimer's disease (EOAD), and 30 healthy elderly controls. Based on whole-brain tractography, we reconstructed structural brain connectivity networks to map connections between cortical regions. We examined how bvFTD and EOAD disrupt the weighted 'rich club' - a network property where high-degree network nodes are more interconnected than expected by chance. bvFTD disrupts both the nodal and global organization of the network in both low- and high-degree regions of the brain. EOAD targets the global connectivity of the brain, mainly affecting the fiber density of high-degree (highly connected) regions that form the rich club network. These rich club analyses suggest distinct patterns of disruptions among different forms of dementia.</p>","PeriodicalId":74126,"journal":{"name":"Mathematics and visualization","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-319-11182-7_2","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics and visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-319-11182-7_2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

Abstract

Diffusion imaging and brain connectivity analyses can reveal the underlying organizational patterns of the human brain, described as complex networks of densely interlinked regions. Here, we analyzed 1.5-Tesla whole-brain diffusion-weighted images from 64 participants - 15 patients with behavioral variant frontotemporal (bvFTD) dementia, 19 with early-onset Alzheimer's disease (EOAD), and 30 healthy elderly controls. Based on whole-brain tractography, we reconstructed structural brain connectivity networks to map connections between cortical regions. We examined how bvFTD and EOAD disrupt the weighted 'rich club' - a network property where high-degree network nodes are more interconnected than expected by chance. bvFTD disrupts both the nodal and global organization of the network in both low- and high-degree regions of the brain. EOAD targets the global connectivity of the brain, mainly affecting the fiber density of high-degree (highly connected) regions that form the rich club network. These rich club analyses suggest distinct patterns of disruptions among different forms of dementia.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

丰富的俱乐部网络分析显示，额颞叶痴呆和阿尔茨海默病的破坏模式不同。

扩散成像和大脑连接分析可以揭示人类大脑的潜在组织模式，被描述为密集互连区域的复杂网络。在这里，我们分析了64名参与者的1.5特斯拉全脑扩散加权图像——15名行为变异额颞叶痴呆患者、19名早发性阿尔茨海默病患者和30名健康老年对照。在全脑束成像的基础上，我们重建了大脑结构连接网络，以绘制皮层区域之间的连接。我们研究了bvFTD和EOAD是如何破坏加权的“富裕俱乐部”的——这是一种网络特性，其中高度网络节点的互联程度比预期的要高。bvFTD破坏了大脑低度和高度区域网络的节点和全局组织。EOAD的目标是大脑的全球连通性，主要影响形成丰富俱乐部网络的高度（高度连通）区域的纤维密度。这些丰富的俱乐部分析表明，不同形式的痴呆症之间存在不同的干扰模式。

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