Hoy Andrew R, Ly Martina, Carlsson Cynthia M, Okonkwo Ozioma C, Zetterberg Henrik, Blennow Kaj, Sager Mark A, Asthana Sanjay, Johnson Sterling C, Alexander Andrew L, Bendlin Barbara B
Lieutenant, Medical Service Corp, United States Navy, Falls Church, Virginia, United States of America.
Department of Medical Physics, University of Wisconsin, School of Medicine and Public Health, Madison, Wisconsin, United States of America.
PLoS One. 2017 Mar 14;12(3):e0173982. doi: 10.1371/journal.pone.0173982. eCollection 2017.
Brain changes associated with Alzheimer's disease (AD) begin decades before disease diagnosis. While β-amyloid plaques and neurofibrillary tangles are defining features of AD, neuronal loss and synaptic pathology are closely related to the cognitive dysfunction. Brain imaging methods that are tuned to assess degeneration of myelinated nerve fibers in the brain (collectively called white matter) include diffusion tensor imaging (DTI) and related techniques, and are expected to shed light on disease-related loss of structural connectivity. Participants (N = 70, ages 47-76 years) from the Wisconsin Registry for Alzheimer's Prevention study underwent DTI and hybrid diffusion imaging to determine a free-water elimination (FWE-DTI) model. The study assessed the extent to which preclinical AD pathology affects brain white matter. Preclinical AD pathology was determined using cerebrospinal fluid (CSF) biomarkers. The sample was enriched for AD risk (APOE ε4 and parental history of AD). AD pathology assessed by CSF analyses was significantly associated with altered microstructure on both DTI and FWE-DTI. Affected regions included frontal, parietal, and especially temporal white matter. The f-value derived from the FWE-DTI model appeared to be the most sensitive to the relationship between the CSF AD biomarkers and microstructural alterations in white matter. These findings suggest that white matter degeneration is an early pathological feature of AD that may have utility both for early disease detection and as outcome measures for clinical trials. More complex models of microstructural diffusion properties including FWE-DTI may provide increased sensitivity to early brain changes associated with AD over standard DTI.
与阿尔茨海默病(AD)相关的大脑变化在疾病诊断前数十年就已开始。虽然β-淀粉样蛋白斑块和神经原纤维缠结是AD的典型特征,但神经元丢失和突触病理学与认知功能障碍密切相关。旨在评估大脑中髓鞘神经纤维(统称为白质)退化的脑成像方法包括扩散张量成像(DTI)及相关技术,有望揭示与疾病相关的结构连接性丧失。来自威斯康星州阿尔茨海默病预防登记研究的参与者(N = 70,年龄47 - 76岁)接受了DTI和混合扩散成像,以确定自由水消除(FWE-DTI)模型。该研究评估了临床前AD病理学对脑白质的影响程度。临床前AD病理学通过脑脊液(CSF)生物标志物来确定。样本中富含AD风险因素(APOE ε4和AD家族史)。通过CSF分析评估的AD病理学与DTI和FWE-DTI上的微观结构改变显著相关。受影响的区域包括额叶、顶叶,尤其是颞叶白质。从FWE-DTI模型得出的f值似乎对CSF AD生物标志物与白质微观结构改变之间的关系最为敏感。这些发现表明,白质退化是AD的早期病理特征,可能对早期疾病检测以及作为临床试验的结果指标都有用。包括FWE-DTI在内的更复杂的微观结构扩散特性模型可能比标准DTI对与AD相关的早期大脑变化具有更高的敏感性。