Metabolic connectivity: methods and applications
Metabolic connectivity: methods and applications
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DOI：
10.1097/wco.0000000000000494
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发表时间：
2017-12-01
影响因子：
4.8
通讯作者：
Habeck, Christian
中科院分区：
文献类型：
--
作者：
Yakushev, Igor;Drzezga, Alexander;Habeck, Christian
综述目的
代谢连接性建模旨在基于正电子发射断层扫描（PET）对葡萄糖类似物[F - 18]氟脱氧葡萄糖（FDG）的记录来检测大脑中功能相互作用的区域。在此，我们概述了最常用的代谢连接性方法，并总结了其在临床和基础神经科学中的近期应用。
近期发现
代谢连接性通过多种方法进行建模，包括种子相关分析、稀疏逆协方差估计、独立成分分析和图论。鉴于其多变量性质，相对于氟脱氧葡萄糖 - 正电子发射断层扫描（FDG - PET）数据的常规单变量分析，代谢连接性具有附加价值。因此，代谢连接性为痴呆、运动障碍和癫痫的病理生理学及诊断提供了有价值的见解。代谢连接性还能够识别出与功能性磁共振成像（fMRI）数据所衍生的功能连接模式相似的静息态网络。
总结
在快速发展的大脑连接性领域中，代谢连接性是一个有价值的概念，至少与功能性磁共振成像的功能连接性同样合理。到目前为止，代谢连接性的价值在神经退行性疾病中已得到最佳确立，但在其他脑部疾病以及健康状态下的研究也正在涌现。越来越多的证据表明，代谢连接性可能作为正常和病理认知功能的一个标志物。代谢连接性与结构和功能连接性之间的关系还有待确立。
Purpose of reviewMetabolic connectivity modelling aims to detect functionally interacting brain regions based on PET recordings with the glucose analogue [F-18]fluorodeoxyglucose (FDG). Here, we outline the most popular metabolic connectivity methods and summarize recent applications in clinical and basic neuroscience.Recent findingsMetabolic connectivity is modelled by various methods including a seed correlation, sparse inverse covariance estimation, independent component analysis and graph theory. Given its multivariate nature, metabolic connectivity possess added value relative to conventional univariate analyses of FDG-PET data. As such, metabolic connectivity provides valuable insights into pathophysiology and diagnosis of dementing, movement disorders, and epilepsy. Metabolic connectivity can also identify resting state networks resembling patterns of functional connectivity as derived from functional MRI data.SummaryMetabolic connectivity is a valuable concept in the fast-developing field of brain connectivity, at least as reasonable as functional connectivity of functional MRI. So far, the value of metabolic connectivity is best established in neurodegenerative disorders, but studies in other brain diseases as well as in the healthy state are emerging. Growing evidence indicates that metabolic connectivity may serve a marker of normal and pathological cognitive function. A relationship of metabolic connectivity with structural and functional connectivity is yet to be established.