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Early Microstructure Changes of White Matter Fiber Bundles in Patients with Amnestic Mild Cognitive Impairment Predicts Progression of Mild Cognitive Impairment to Alzheimer’s Disease
Journal of Alzheimer’s Disease ( IF 4 ) Pub Date : 2021-09-01 , DOI: 10.3233/jad-210495
Fangmei He 1, 2, 3 , Yuchen Zhang 4 , Xiaofeng Wu 1, 2, 3 , Youjun Li 1, 2, 3 , Jie Zhao 1, 2, 3 , Peng Fang 5 , Liming Fan 1, 2, 3 , Chenxi Li 1, 2, 3 , Tian Liu 1, 2, 3 , Jue Wang 1, 2, 3 ,
Affiliation  

Background:Amnestic mild cognitive impairment (aMCI) is the transitional stage between normal aging and Alzheimer’s disease (AD). Some aMCI patients will progress into AD eventually, whereas others will not. If the trajectory of aMCI can be predicted, it would enable early diagnosis and early therapy of AD. Objective:To explore the development trajectory of aMCI patients, we used diffusion tensor imaging to analyze the white matter microstructure changes of patients with different trajectories of aMCI. Methods:We included three groups of subjects:1) aMCI patients who convert to AD (MCI-P); 2) aMCI patients who remain in MCI status (MCI-S); 3) normal controls (NC). We analyzed the fractional anisotropy and mean diffusion rate of brain regions, and we adopted logistic binomial regression model to predicate the development trajectory of aMCI. Results:The fraction anisotropy value is significantly reduced, the mean diffusivity value is significantly increased in the two aMCI patient groups, and the MCI-P patients presented greater changes. Significant changes are mainly located in the cingulum, fornix, hippocampus, and uncinate fasciculus. These changed brain regions significantly correlated with the patient’s Mini-Mental State Examination scores. Conclusion:The study predicted the disease trajectory of different types of aMCI patients based on the characteristic values of the above-mentioned brain regions. The prediction accuracy rate can reach 90.2%, and the microstructure characteristics of the right cingulate band and the right hippocampus may have potential clinical application value to predict the disease trajectory.

中文翻译:

遗忘性轻度认知障碍患者白质纤维束的早期微观结构变化预测轻度认知障碍进展为阿尔茨海默病

背景:遗忘性轻度认知障碍(aMCI)是正常衰老和阿尔茨海默病(AD)之间的过渡阶段。一些 aMCI 患者最终会发展为 AD,而另一些则不会。如果可以预测 aMCI 的轨迹,就可以实现 AD 的早期诊断和早期治疗。目的:为探讨aMCI患者的发展轨迹,我们采用弥散张量成像分析不同aMCI轨迹患者的白质微结构变化。方法:我们包括三组受试者:1)aMCI 转换为 AD 的患者(MCI-P);2) 仍处于 MCI 状态 (MCI-S) 的 aMCI 患者;3)正常对照(NC)。我们分析了大脑区域的分数各向异性和平均扩散率,并采用逻辑二项式回归模型来预测 aMCI 的发展轨迹。结果:两个aMCI患者组的分数各向异性值显着降低,平均扩散值显着增加,MCI-P患者呈现更大的变化。显着变化主要位于扣带回、穹窿、海马和钩状束。这些改变的大脑区域与患者的简易精神状态检查分数显着相关。结论:本研究根据上述脑区的特征值预测了不同类型aMCI患者的疾病轨迹。预测准确率可达90.2%,右侧扣带回带和右侧海马的微结构特征对预测疾病轨迹可能具有潜在的临床应用价值。两个aMCI患者组的平均扩散值显着增加,MCI-P患者表现出更大的变化。显着变化主要位于扣带回、穹窿、海马和钩状束。这些改变的大脑区域与患者的简易精神状态检查分数显着相关。结论:本研究根据上述脑区的特征值预测了不同类型aMCI患者的疾病轨迹。预测准确率可达90.2%,右侧扣带回带和右侧海马的微结构特征对预测疾病轨迹可能具有潜在的临床应用价值。两个aMCI患者组的平均扩散值显着增加,MCI-P患者表现出更大的变化。显着变化主要位于扣带回、穹窿、海马和钩状束。这些改变的大脑区域与患者的简易精神状态检查分数显着相关。结论:本研究根据上述脑区的特征值预测了不同类型aMCI患者的疾病轨迹。预测准确率可达90.2%,右侧扣带回带和右侧海马的微结构特征对预测疾病轨迹可能具有潜在的临床应用价值。显着变化主要位于扣带回、穹窿、海马和钩状束。这些改变的大脑区域与患者的简易精神状态检查分数显着相关。结论:本研究根据上述脑区的特征值预测了不同类型aMCI患者的疾病轨迹。预测准确率可达90.2%,右侧扣带回带和右侧海马的微结构特征对预测疾病轨迹可能具有潜在的临床应用价值。显着变化主要位于扣带回、穹窿、海马和钩状束。这些改变的大脑区域与患者的简易精神状态检查分数显着相关。结论:本研究根据上述脑区的特征值预测了不同类型aMCI患者的疾病轨迹。预测准确率可达90.2%,右侧扣带回带和右侧海马的微结构特征对预测疾病轨迹可能具有潜在的临床应用价值。该研究根据上述脑区的特征值预测了不同类型aMCI患者的疾病轨迹。预测准确率可达90.2%,右侧扣带回带和右侧海马的微结构特征对预测疾病轨迹可能具有潜在的临床应用价值。该研究根据上述脑区的特征值预测了不同类型aMCI患者的疾病轨迹。预测准确率可达90.2%,右侧扣带回带和右侧海马的微结构特征对预测疾病轨迹可能具有潜在的临床应用价值。
更新日期:2021-09-03
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