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Relativity Analysis between Resting-State fMRI Signal and Tumorous Possibility of Brain Tissues

机译:休息状态FMRI信号与脑组织肿瘤可能性的相对性分析

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fMRI is widely used to investigate the spontaneous activity of the brain. In this paper, a quantitative analysis method is proposed to describe the relationship between the BOLD features of resting-state fMRI and the tumorous growth of brain tissues. In our method, a map of tumorous possibility degree is detected from tissues structural images of MRI and coregistered into the functional space. After extracting the BOLD features, further analysis is done to reveal the relationship between functional signal and tumor growth. The average value of BOLD signal is found as a significant feature of tumorous tissues and resultantly presents a positive correlation with the degree of tumorous possibility. The same method is also applied in the analysis of the most commonly used BOLD features include ALFF and ReHo. In the results the two features show a negative correlation with the tumorous possibility degree. The method proposed in our study is based on multimodal signal combination of tissues structure and functional features. It should be a valuable method and serve as a basic understanding for explaining how the tumor influences brain function and further for rebuilding the functional network.
机译:FMRI广泛用于调查大脑的自发活动。本文提出了定量分析方法来描述休息状态FMRI的大胆特征与脑组织肿瘤生长的关系。在我们的方法中,从MRI的组织结构图像中检测到肿瘤可能程度的地图,并将其内心注入功能空间。在提取粗体特征后,进行进一步的分析以揭示功能性信号与肿瘤生长之间的关系。粗体信号的平均值被发现是肿瘤组织的重要特征,结果与肿瘤可能性的程度呈现阳性相关性。同样的方法也应用于分析最常用的大胆功能包括ALFF和REHO。结果,两种特征显示出与肿瘤可能性度的负相关性。我们研究中提出的方法基于组织结构和功能特征的多模式信号组合。它应该是一种有价值的方法,并作为解释肿瘤如何影响大脑功能并进一步重建功能网络的基本理解。

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