脑肿瘤患者大脑复杂度的fMRI研究

目的针对目前缺少对脑肿瘤患者客观的认知损伤评价标准,本文提出基于静息态功能磁共振数据的脑复杂度分析方法。方法首先对24位肿瘤患者与18位健康志愿者的BOLD-f MRI图像分别进行预处理,再求取全脑平均样本熵值及全脑体素样本熵图,然后求取以肿瘤部位为感兴趣区域(region of interest,ROI)的功能连接和互样本熵值对比分析。结果健康志愿者样本熵值明显高于肿瘤患者(F=15.907,P=0.000),互样本熵值与功能连接呈负相关关系,并且左额或左颞有脑肿瘤的患者在左额、左颞、楔叶的功能脑区与健康志愿者相比有明显差异,该研究结果与临床诊断数据较为一致。结论提出一种基于样本熵的脑复杂度分析方法,发现肿瘤会影响大脑的复杂度,肿瘤级别升高导致大脑复杂度的降低,该方法所得结果能够作为评定肿瘤级别的量化参数之一。

A resting state fMRI study of brain complexity in cerebral tumor patients

Objective An analysis method of brain complexity based on resting state fMRI data was proposed for the lack of objective evaluation standard of cognitive impairment in cerebral tumor patients currently? Methods Firstly, we preprocessed BOLD fMRI images of 24 cerebral tumor patients and 18 healthy volunteers respectively, calculated the mean whole?brain sample entropy and the whole?brain voxel sample entropy maps, and then determined the tumor site for region of interest ( ROI) area to analyze the correlation between function connection and cross?sample entropy? Results Whole brain entropy of healthy volunteers was significant higher than cerebral tumor patients ( F=15?907, P=0?000 ) , and negative correlation between function connection and cross sample entropy was observed? And there were significant differences in the left frontal, left temporal and cuneus brain functional areas between patients with brain tumor of the left frontal or left temporal and healthy volunteers? The results were consistent with clinical diagnosis results? Conclusions This analysis method of brain complexity based on sample entropy help to illustrate that tumor will affect the complexity of the brain, and the increase of tumor grade leads to the decrease of the brain complexity? The results in this method can be used as one of the quantitative parameters to evaluate the tumor grade.