Yan-Li Yang, Yu-Xuan Liu, Jing Wei, Qi-Li Guo, Zhi-Peng Hao, Jia-Yue Xue, Jin-Yi Liu, Hao Guo, Yao Li
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引用次数: 0
Abstract
Alzheimer's disease (AD) is a neurodegenerative disease, and mild cognitive impairment (MCI) is considered a transitional stage between healthy aging and dementia. Early detection of MCI can help slow down the progression of AD. At present, there are few studies exploring the characteristics of abnormal dynamic brain activity in AD. This article uses a method called leading eigenvector dynamics analysis (LEiDA) to study resting-state functional magnetic resonance imaging (rs-fMRI) data of AD, MCI, and cognitively normal (CN) participants. By identifying repetitive states of phase coherence, intergroup differences in brain dynamic activity indicators are examined, and the neurobehavioral scales were used to assess the relationship between abnormal dynamic activities and cognitive function. The results showed that in the indicators of occurrence probability and lifetime, the globally synchronized state of the patient group decreased. The activity state of the limbic regions significantly detected the difference between AD and the other two groups. Compared to CN, AD and MCI have varying degrees of increase in default and visual region activity states. In addition, in the analysis related to the cognitive scales, it was found that individuals with poorer cognitive abilities were less active in the globally synchronized state and more active in limbic region activity state and visual region activity state. Taken together, these findings reveal abnormal dynamic activity of resting-state networks in patients with AD and MCI, provide new insights into the dynamic analysis of brain networks, and contribute to a deeper understanding of abnormal spatial dynamic patterns in AD patients.NEW & NOTEWORTHY Alzheimer's disease (AD) is a neurodegenerative disease, but few studies have explored the characteristics of abnormal dynamic brain activity in AD patients. Here, our report reveals the abnormal dynamic activity of the patients' resting-state network, providing new insights into the dynamic analysis of brain networks and helping to gain a deeper understanding of the abnormal spatial dynamic patterns in AD patients.
阿尔茨海默病(AD)是一种神经退行性疾病,而轻度认知障碍(MCI)被认为是健康老龄化和痴呆之间的过渡阶段。早期发现轻度认知障碍有助于延缓阿尔茨海默病的发展。目前,很少有研究探讨 AD 中异常动态脑活动的特征。本文采用一种名为领先特征向量动态分析(LEiDA)的方法来研究AD、MCI和认知正常(CN)患者的静息态功能磁共振成像(rs-fMRI)数据。通过识别相位一致性的重复状态,研究大脑动态活动指标的组间差异。并使用神经行为量表评估异常动态活动与认知功能之间的关系。结果显示,在发生概率和寿命指标上,患者组的全局同步状态有所下降。边缘区的活动状态明显检测出AD组与其他两组的差异。与CN相比,AD和MCI的缺省区和视觉区活动状态有不同程度的增加。此外,在与认知量表相关的分析中发现,认知能力较差的个体在全局同步状态下的活跃程度较低,而在边缘区活动状态和视觉区活动状态下的活跃程度较高。总之,这些发现揭示了AD和MCI患者静息态网络的异常动态活动,为大脑网络的动态分析提供了新的见解,有助于加深对AD患者异常空间动态模式的理解。
期刊介绍:
The Journal of Neurophysiology publishes original articles on the function of the nervous system. All levels of function are included, from the membrane and cell to systems and behavior. Experimental approaches include molecular neurobiology, cell culture and slice preparations, membrane physiology, developmental neurobiology, functional neuroanatomy, neurochemistry, neuropharmacology, systems electrophysiology, imaging and mapping techniques, and behavioral analysis. Experimental preparations may be invertebrate or vertebrate species, including humans. Theoretical studies are acceptable if they are tied closely to the interpretation of experimental data and elucidate principles of broad interest.