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Effective Connectivity for Default Mode Network Analysis of Alcoholism
Brain Connectivity ( IF 2.4 ) Pub Date : 2021-02-12 , DOI: 10.1089/brain.2019.0721
Danish M Khan 1, 2 , Nidal Kamel 1 , Mustapha Muzaimi 3 , Timothy Hill 4
Affiliation  

Introduction: With the recent technical advances in brain imaging modalities such as magnetic resonance imaging, positron emission tomography, and functional magnetic resonance imaging (fMRI), researchers' interests have inclined over the years to study brain functions through the analysis of the variations in the statistical dependence among various brain regions. Through its wide use in studying brain connectivity, the low temporal resolution of the fMRI represented by the limited number of samples per second, in addition to its dependence on brain slow hemodynamic changes, makes it of limited capability in studying the fast underlying neural processes during information exchange between brain regions.

中文翻译:

酒精中毒默认模式网络分析的有效连接

简介:随着脑成像方式的最新技术进步,如磁共振成像、正电子发射断层扫描和功能性磁共振成像 ( f MRI),多年来,研究人员的兴趣倾向于通过分析脑功能的变化来研究脑功能。不同大脑区域之间的统计依赖性。通过广泛用于研究大脑连通性, f MRI的低时间分辨率由每秒有限的样本数量表示,此外它依赖于大脑缓慢的血流动力学变化,使其在研究快速潜在神经过程方面的能力有限在大脑区域之间的信息交换过程中。
更新日期:2021-02-22
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