摘要
阿尔茨海默病(AD)是一种无效的神经退行性疾病,它经常影响人口老龄化。从年岁的增加来看,不仅在西方国家,越来越多的社会问题,促使考虑潜在治疗去干扰或阻断病程的相关识别临床生物标志物。在大多功能解剖的体内成像技术检查大脑回路和生理中,磁共振成像(MRI),功能磁共振成像(fMRI)、脑电图(EEG)和脑磁图(MEG),已广泛用于阿尔茨海默病的研究,有不同的成果与局限。最终,该方法被脑连接组学在这一领域的预期进一步加强,如由[18F]2-氟2-脱氧葡萄糖 [18F]-氟脱氧葡萄糖正电子发射断层扫描和功能磁共振成像所得的在早期阿尔茨海默病的预测的最新结果。然而,阿尔茨海默病的病理生理的内在复杂性表明,只有综合的方法,结合不同的技术和脑扫描方法可以在阿尔茨海默病的研究产生重大的突破。本综述提出了一个正式的框架能够将体内的神经影像学技术手段不同脑连接组学多式联运的收购数据,简要汇报各自不同的优点和缺点。事实上,一个专门的复杂的多重网络,其中节点交互层连接在同一对节点和各层反映了不同的大脑采集类型,可以在这个框架成为建议的若干连接体模型。
关键词: 阿尔茨海默病,功能磁共振成像,磁共振成像,正电子发射断层扫描、脑电图、多重网络,大脑连接组学,高分辨率多通道扫描仪
Current Alzheimer Research
Title:Integration of 18FDG-PET Metabolic and Functional Connectomes in the Early Diagnosis and Prognosis of the Alzheimer's Disease
Volume: 13 Issue: 5
Author(s): Antonio Giuliano Zippo and Isabella Castiglioni
Affiliation:
关键词: 阿尔茨海默病,功能磁共振成像,磁共振成像,正电子发射断层扫描、脑电图、多重网络,大脑连接组学,高分辨率多通道扫描仪
摘要: Alzheimer's Disease (AD) is an invalidating neurodegenerative disorders frequently affecting the aging population. In view of the increase of elderlies, not only in western countries, the related growing societal problems urge for identifying clinical biomarkers in view of potential treatments interfering or blocking the disease course. Among the plenty of anatomo-functional in vivo imaging techniques to inspect brain circuits and physiology, the Magnetic Resonance Imaging (MRI), the functional MRI (fMRI), the Electroencephalography (EEG) and Magnetoencephalography (MEG), have been extensively used for the study of AD, with different achievements and limitations. Eventually, the methodologies summoned by brain connectomics further strengthen the expectations in this field, as shown by recent results obtained with [18F]2-fluoro-2-deoxyglucose 18FDG-PET and fMRI in the prediction of the AD in early stages. However, the inherent complexity of the pathophysiology of the AD suggests that only integrative approaches combining different techniques and methodologies of brain scanning could produce significant breakthroughs in the study of AD. This review proposes a formal framework able to combine brain connectomic data from multimodal acquisitions by means of different in vivo neuroimaging techniques, briefly reporting their different advantages and drawbacks. Indeed, a specialized complex multiplex network, where nodes interact in layers linking the same pair of nodes and each layer reflects a distinct type of brain acquisition, can model the plurality of connectomes recommended in this framework.
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Antonio Giuliano Zippo and Isabella Castiglioni , Integration of 18FDG-PET Metabolic and Functional Connectomes in the Early Diagnosis and Prognosis of the Alzheimer's Disease, Current Alzheimer Research 2016; 13 (5) . https://dx.doi.org/10.2174/1567205013666151116142451
DOI https://dx.doi.org/10.2174/1567205013666151116142451 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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