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

机译:阿尔茨海默病中白物功能连通性的渐进退化

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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:阿尔茨海默病(AD)是一种进步神经退行性疾病,其中病理改变在灰质(GM)和白质(WM)中看到。到目前为止,迄今的功能MRI(FMRI)AD的研究已经存在专注于GM,因为WM中的血氧水平依赖于(粗体)信号相对较弱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,即大脑WM的大胆波动是可靠的可检测和反映神经活动,提供了研究WM中功能连接的可能性。目的:在本研究中,我们的目标是将FMRI分析方法应用于WM中功能改变的调查在广告的进展期间。方法:原始休息状态FMRI正常受试者和患者数据(总N = 290,5诊断基团)是从阿尔茨海默病神经影像倡议数据库中获得的。每个FMRI图像都是将成82个GM区域和48个WM捆绑包装。每对GM和WM之间的时间相关性计算和所有对的相关性构成每个受试者的功能相关矩阵(FCM)。 FCMS.在每个诊断组内平均,以及正常组之间平均fcms的差异寻求疾病组。结果:随着疾病的发展,功能相关性的差异逐渐扩大,和穹窿和腹侧腹部皮质皮质在正常和疾病群之间表现出最明显的差异。结论:WM中的功能连接可以作为广告进展的新型神经影像生物标志物。

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