Xue Shao-Wei, Guo Yonghu
Institutes of Psychological Sciences.
Center for Cognition and Brain Disorders.
Neuroreport. 2018 Mar 7;29(4):286-290. doi: 10.1097/WNR.0000000000000942.
Entropy analysis of resting-state functional MRI (R-fMRI) is a novel approach to characterize brain temporal dynamics and facilitates the identification of abnormal brain activity caused by several disease conditions. However, Alzheimer's disease (AD)-related brain entropy mapping based on R-fMRI has not been assessed. Here, we measured the sample entropy and voxel-wise connectivity of the network degree centrality (DC) of the intrinsic brain activity acquired by R-fMRI in 26 patients with AD and 26 healthy controls. Compared with the controls, AD patients showed increased entropy in the middle temporal gyrus and the precentral gyrus and also showed decreased DC in the precuneus. Moreover, the magnitude of the negative correlation between local brain activity (entropy) and network connectivity (DC) was increased in AD patients in comparison with healthy controls. These findings provide new evidence on AD-related brain entropy alterations.
静息态功能磁共振成像(R-fMRI)的熵分析是一种表征脑颞叶动力学的新方法,有助于识别由多种疾病状况引起的异常脑活动。然而,基于R-fMRI的阿尔茨海默病(AD)相关脑熵图谱尚未得到评估。在此,我们测量了26例AD患者和26名健康对照者通过R-fMRI获取的脑内固有活动的样本熵和网络度中心性(DC)的体素级连通性。与对照组相比,AD患者颞中回和中央前回的熵增加,楔前叶的DC降低。此外,与健康对照相比,AD患者局部脑活动(熵)与网络连通性(DC)之间的负相关程度增加。这些发现为AD相关脑熵改变提供了新证据。