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阿尔茨海默病中的生物标志物,特别强调事件相关的振荡反应。

Biomarkers in Alzheimer's disease with a special emphasis on event-related oscillatory responses.

作者信息

Yener Görsev G, Başar Erol

机构信息

Brain Dynamics Multidisciplinary Research Center, Dokuz Eylül University, Izmir 35340, Turkey.

出版信息

Suppl Clin Neurophysiol. 2013;62:237-73. doi: 10.1016/b978-0-7020-5307-8.00020-x.

Abstract

Alzheimer's disease (AD) is a devastating neurodegenerative dementing illness. Early diagnosis at the prodromal stage is an important topic of current research. Significant advances were recently made in the validation process of several biomarkers, including structural/amyloid imaging, cerebrospinal fluid measurements, and glucose positron emission tomography. Nevertheless, there remains a need to develop an efficient, low cost, potentially portable, noninvasive biomarker in the diagnosis, course, or treatment of AD. There is also a great need for a biomarker that would reflect functional brain dynamic changes within a very short time period, such as milliseconds, to provide information about cognitive deficits. Electrophysiological methods have the highest time resolution for reflecting brain dynamics in cognitive impairments. There are several strategies available for measuring cognitive changes, including spontaneous electroencephalography (EEG), sensory-evoked oscillations (SEOs), and event-related oscillations (EROs). The term "sensory-evoked" (SE) implies responses elicited upon simple sensory stimulation, whereas "event-related" (ER) indicates responses elicited upon a cognitive task, generally an oddball paradigm. Further selective connectivity deficit in sensory or cognitive networks is reflected by coherence measurements. When simple sensory stimulus is used, a sensory network becomes activated, whereas an oddball task initiates an activation in a sensory network and additionally in a related cognitive network. In AD, spontaneous activity reveals a topographically changed pattern of oscillations. In addition, the most common finding in spontaneous EEG of AD is decrease of fast and increase of slow frequencies. The hyperexcitability of motor and sensory cortices in AD has been demonstrated in many studies. The motor cortex hyperexcitability has been shown by transcranial magnetic stimulation studies. Also, the SEOs reflecting sensory network indicate a visual sensory cortex hyperexcitability in AD, as demonstrated by increased responses over posterior regions of the hemispheres. On the other hand, ERO studies reflecting activation of a cognitive network imply decreased responses in fronto-central regions of the brain in delta and theta frequencies. Coherence studies show the connectivity between different parts of the brain. Studies of SE coherence in mild AD subjects imply almost intact connectivity in all frequency ranges, whereas ER coherence is decreased in wide connections in alpha, theta, and delta frequency ranges. Moreover, alpha ER coherence seems to be sensitive to cholinergic treatment in AD. In further research in a search of AD biomarkers, multimodal methods should be introduced to electrophysiology in order to validate these methods. Standardization and harmonization of user-friendly acquisition and analysis protocols in larger cohort populations are also needed in order to incorporate electrophysiology as a part of the clinical criteria of AD.

摘要

阿尔茨海默病(AD)是一种具有毁灭性的神经退行性痴呆疾病。前驱期的早期诊断是当前研究的一个重要课题。最近在几种生物标志物的验证过程中取得了重大进展,包括结构/淀粉样蛋白成像、脑脊液测量和葡萄糖正电子发射断层扫描。然而,在AD的诊断、病程或治疗中,仍需要开发一种高效、低成本、可能便于携带的非侵入性生物标志物。还非常需要一种能够在极短时间内(如毫秒级)反映大脑功能动态变化的生物标志物,以提供有关认知缺陷的信息。电生理方法在反映认知障碍中的脑动力学方面具有最高的时间分辨率。有几种测量认知变化的策略,包括自发脑电图(EEG)、感觉诱发振荡(SEOs)和事件相关振荡(EROs)。“感觉诱发”(SE)一词意味着在简单感觉刺激时引发的反应,而“事件相关”(ER)则表示在认知任务(通常是奇偶数范式)时引发的反应。感觉或认知网络中进一步的选择性连接缺陷通过相干性测量来反映。当使用简单感觉刺激时,感觉网络被激活,而奇偶数任务会在感觉网络以及相关认知网络中引发激活。在AD中,自发活动揭示了振荡的地形变化模式。此外,AD自发脑电图中最常见的发现是快频率降低和慢频率增加。许多研究已经证明AD中运动和感觉皮层的兴奋性过高。经颅磁刺激研究表明了运动皮层的兴奋性过高。同样,反映感觉网络的SEOs表明AD中视觉感觉皮层的兴奋性过高,半球后部区域的反应增加证明了这一点。另一方面,反映认知网络激活的ERO研究表明,大脑额中央区域在δ和θ频率下的反应降低。相干性研究显示了大脑不同部分之间的连接。对轻度AD患者的SE相干性研究表明,所有频率范围内的连接几乎完好无损,而ER相干性在α、θ和δ频率范围内的广泛连接中降低。此外,α ER相干性似乎对AD中的胆碱能治疗敏感。在寻找AD生物标志物的进一步研究中,应将多模态方法引入电生理学以验证这些方法。为了将电生理学纳入AD临床标准的一部分,还需要在更大的队列人群中对用户友好的采集和分析协议进行标准化和统一。

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