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Progressive degeneration of white matter functional connectivity in Alzheimer’s Disease

机译:阿尔茨海默氏病中白质功能连接的逐步退化

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Background: Alzheimer's Disease (AD) is a progressive neurodegenerative disorder, in which pathological alterationsare seen in both gray matter (GM) and white matter (WM). To date functional MRI (fMRI) studies of AD have beenexclusively focused on GM, since blood oxygenation level dependent (BOLD) signals in WM are relatively weak andthus ignored in practice. Our recent work provides compelling evidence that BOLD fluctuations in brain WM are reliablydetectable and reflect neural activities, offering the potential of investigating the functional connectivity in WM.Purpose: In this study, we aim to apply our fMRI analysis method to the investigation of functional alterations in WMduring the progression of AD. Method: Raw resting state fMRI data of normal subjects and patients (total n=290, 5diagnostic groups) were obtained from the Alzheimer's Disease Neuroimaging Initiative database. Each fMRI image wasparcellated into 82 GM regions and 48 WM bundles. Temporal correlation between each pair of GM and WM wascalculated and the correlations of all pairs constituted a functional correlation matrix (FCM) for each subject. The FCMswere averaged within each diagnostic group, and differences in the averaged FCMs between the normal group and eachdisease group were sought. Result: Differences in functional correlations progressively enlarge as the disease evolves,and fornix and ventral entorhinal cortices exhibited most pronounced differences between the normal and disease groups.Conclusion: Functional connectivity in WM may serve as a novel neuroimaging biomarker for the progression of AD.
机译:背景:阿尔茨海默氏病(AD)是一种进行性神经退行性疾病,其中病理改变 在灰质(GM)和白质(WM)中都可以看到。迄今为止,AD的功能性MRI(fMRI)研究已经开展。 由于WM中的血液氧合水平依赖性(BOLD)信号相对较弱且 因此在实践中被忽略了。我们最近的工作提供了令人信服的证据,证明脑部WM的BOLD波动是可靠的 可检测并反映神经活动,为研究WM中的功能连通性提供了潜力。 目的:在本研究中,我们旨在将功能磁共振成像分析方法应用于WM功能改变的研究 在AD发展过程中。方法:正常受试者和患者的原始静息状态fMRI数据(总n = 290,5 诊断组)是从阿尔茨海默氏病神经影像学计划数据库中获得的。每个fMRI图像均为 分成82个GM区和48个WM束。每对GM和WM之间的时间相关性为 计算所有对的相关性,构成每个受试者的功能相关性矩阵(FCM)。流式细胞仪 在每个诊断组中取平均值,正常组与每个诊断组之间的平均FCM差异 寻求疾病组。结果:随着疾病的发展,功能相关性的差异逐渐扩大, 正常和疾病组之间的穹for和腹侧内嗅皮质表现出最明显的差异。 结论:WM中的功能连接性可以作为AD进展的新型神经影像生物标志物。

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