Connectivity concepts in diffusion and functional MRI

C. Westin
{"title":"Connectivity concepts in diffusion and functional MRI","authors":"C. Westin","doi":"10.1109/ISBI.2010.5490095","DOIUrl":null,"url":null,"abstract":"In this talk we will describe and contrast the basic concepts of structural connectivity, functional connectivity, and effective connectivity. Structural connectivity relates to the networks of physical connections. Diffusion MRI (dMRI) has recently gained tremendous popularity and is especially promising for imaging the white matter in the brain. Functional connectivity is based on measuring patterns of correlated activity in fMRI time series. We will describe how eigenimages or spatial modes can be used to estimate these spatial patterns of activity. Effective connectivity is also a concept from fMRI and describes networks of directional effects of one neural element over another. Connectivity in dMRI is often described by results from tractography. Tractography methods can broadly be divided in deterministic and probabilistic methods, and in this talk we will discuss the most popular ones.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBI.2010.5490095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this talk we will describe and contrast the basic concepts of structural connectivity, functional connectivity, and effective connectivity. Structural connectivity relates to the networks of physical connections. Diffusion MRI (dMRI) has recently gained tremendous popularity and is especially promising for imaging the white matter in the brain. Functional connectivity is based on measuring patterns of correlated activity in fMRI time series. We will describe how eigenimages or spatial modes can be used to estimate these spatial patterns of activity. Effective connectivity is also a concept from fMRI and describes networks of directional effects of one neural element over another. Connectivity in dMRI is often described by results from tractography. Tractography methods can broadly be divided in deterministic and probabilistic methods, and in this talk we will discuss the most popular ones.
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
弥散和功能性MRI中的连通性概念
在这次演讲中,我们将描述和对比结构连接、功能连接和有效连接的基本概念。结构连接与物理连接网络有关。弥散磁共振成像(dMRI)最近获得了巨大的普及,特别是有希望成像的白质在大脑中。功能连接是基于测量模式的相关活动在fMRI时间序列。我们将描述如何使用特征图像或空间模式来估计这些活动的空间模式。有效连接也是功能磁共振成像的一个概念,描述了一个神经元素对另一个神经元素的定向效应网络。dMRI的连通性通常由神经束造影的结果来描述。神经束造影方法可以大致分为确定性方法和概率方法,在这次演讲中,我们将讨论最流行的方法。
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
Enhanced detection of cell paths in spatiotemporal plots for noninvasive microscopy of the human retina Automatic segmentation of pulmonary vasculature in thoracic CT scans with local thresholding and airway wall removal Fast and closed-form ensemble-average-propagator approximation from the 4th-order diffusion tensor Probabilistic branching node detection using AdaBoost and hybrid local features Multiphase level set for automated delineation of membrane-bound macromolecules
×
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