Graph Modularity and Randomness Measures : A Comparative Study

V. Vergara, Qingbao Yu, V. Calhoun
{"title":"Graph Modularity and Randomness Measures : A Comparative Study","authors":"V. Vergara, Qingbao Yu, V. Calhoun","doi":"10.1109/SSIAI.2018.8470322","DOIUrl":null,"url":null,"abstract":"The human brain connectome exhibits a specific structure diagram that is understood to not be wired for randomness. However, aberrant connectivity has been detected and moreover linked to multiple neuropsychiatric and neurological diseases. Graph theory has provided a set of methods to evaluate disruption of brain structure organization. An alternative approach evaluates the difference between brain connectivity matrices and random matrices aiming at assessing randomness. This work compares both approaches within the context of random connectivity. Results indicate the correlation between the two assessments depends on the degree and can be as high as 0.3. Consequently, the two concepts can be treated as complementary, but addressing different aspects of randomness.","PeriodicalId":422209,"journal":{"name":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSIAI.2018.8470322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The human brain connectome exhibits a specific structure diagram that is understood to not be wired for randomness. However, aberrant connectivity has been detected and moreover linked to multiple neuropsychiatric and neurological diseases. Graph theory has provided a set of methods to evaluate disruption of brain structure organization. An alternative approach evaluates the difference between brain connectivity matrices and random matrices aiming at assessing randomness. This work compares both approaches within the context of random connectivity. Results indicate the correlation between the two assessments depends on the degree and can be as high as 0.3. Consequently, the two concepts can be treated as complementary, but addressing different aspects of randomness.
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
图的模块化和随机性度量:比较研究
人类大脑连接组展示了一个特定的结构图,该结构图被认为不是随机连接的。然而,异常连接已被发现,而且与多种神经精神和神经系统疾病有关。图论提供了一套评估大脑结构组织破坏的方法。另一种方法是评估大脑连接矩阵和随机矩阵之间的差异,旨在评估随机性。这项工作在随机连接的背景下比较了这两种方法。结果表明,两种评价之间的相关性取决于程度,最高可达0.3。因此,这两个概念可以看作是互补的,但处理的是随机性的不同方面。
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
自引率
0.00%
发文量
0
期刊最新文献
Graph Modularity and Randomness Measures : A Comparative Study Drive-Net: Convolutional Network for Driver Distraction Detection In-between and cross-frequency dependence-based summarization of resting-state fMRI data A Ground-Truth Fusion Method for Image Segmentation Evaluation Sleep Analysis Using Motion and Head Detection
×
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