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Alteration of functional connectivity in patients with Alzheimer’s disease revealed by resting-state functional magnetic resonance imaging

机译:休息状态函数磁共振成像揭示阿尔茨海默病患者功能连通性的改变

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The main symptom of patients with Alzheimer’s disease is cognitive dysfunction. Alzheimer’s disease is mainly diagnosed based on changes in brain structure. Functional connectivity reflects the synchrony of functional activities between non-adjacent brain regions, and changes in functional connectivity appear earlier than those in brain structure. In this study, we detected resting-state functional connectivity changes in patients with Alzheimer’s disease to provide reference evidence for disease prediction. Functional magnetic resonance imaging data from patients with Alzheimer’s disease were used to show whether particular white and gray matter areas had certain functional connectivity patterns and if these patterns changed with disease severity. In nine white and corresponding gray matter regions, correlations of normal cognition, early mild cognitive impairment, and late mild cognitive impairment with blood oxygen level-dependent signal time series were detected. Average correlation coefficient analysis indicated functional connectivity patterns between white and gray matter in the resting state of patients with Alzheimer’s disease. Functional connectivity pattern variation correlated with disease severity, with some regions having relatively strong or weak correlations. We found that the correlation coefficients of five regions were 0.3–0.5 in patients with normal cognition and 0–0.2 in those developing Alzheimer’s disease. Moreover, in the other four regions, the range increased to 0.45–0.7 with increasing cognitive impairment. In some white and gray matter areas, there were specific connectivity patterns. Changes in regional white and gray matter connectivity patterns may be used to predict Alzheimer’s disease; however, detailed information on specific connectivity patterns is needed. All study data were obtained from the Alzheimer’s Disease Neuroimaging Initiative Library of the Image and Data Archive Database.
机译:阿尔茨海默病患者的主要症状是认知功能障碍。阿尔茨海默氏病主要诊断为基于脑结构的变化。功能连接反映了非邻近大脑区域之间的功能活动的同步,并且功能性连接的变化早于大脑结构的变化。在这项研究中,我们检测了阿尔茨海默病患者患者的休息状态功能连接变化,为疾病预测提供参考证据。来自阿尔茨海默病患者的功能性磁共振成像数据用于表明特定的白色和灰质区域是否具有某些功能性连接模式,以及这些模式随着疾病严重程度而变化。在九个白色和相应的灰质区域中,检测到正常认知,早期性认知障碍和晚期温和认知障碍与血氧水平依赖性信号时间序列的相关性。阿尔茨海默病患者休息状态下白色和灰色物质之间的功能连通系数分析表明。功能性连接模式变化与疾病严重程度相关,具有相对强烈或弱相关性的区域。我们发现,在患有阿尔茨海默病的患者中,五个区域的相关系数为0.3-0.5。此外,在另外四个区域中,随着认知障碍的增加,该范围增加到0.45-0.7。在一些白色和灰质区域,有特定的连接模式。区域白色和灰质连通性模式的变化可用于预测阿尔茨海默病;但是,需要有关特定连接模式的详细信息。所有研究数据都是从Alzheimer的疾病神经影像序列倡议库的图像和数据归档数据库获得。

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