摘要
背景:轻度认知障碍(MCI)中神经动力学的精确特征表述对于进一步了解阿尔茨海默病(AD)中的潜在神经机制至关重要。 然而,在前驱性AD中脑动力学研究相对较少。 因此,其神经基质仍不清楚。 方法:本研究采用常规脑电图频段的相对功率(RP)分析AD患儿痴呆患者的脑电图(EEG)记录,AD患者MCI及健康对照组(HC) 探索神经动力学的时空波动:光谱通量(SF)。 结果:我们的研究结果表明,与HC相比,AD引起的痴呆与脑电活动显着减慢有关,而低(即θ)和高(即β和γ)频带的频谱波动有显着变化(p <0.05)。此外,由于AD引起的MCI受试者表现出特定的频率依赖性时空异常模式,这可以帮助识别AD之前的认知障碍中涉及的神经机制。使用线性判别分析的离散交叉验证程序的分类分析表明,RP和β电极内部电极SF的组合来区分77.3%的HC和AD患者是有用的。在HC和MCI对象之间进行比较的情况下,结合了β和γ带内的电极SF,分类精度达到79.2%。电极SF已被证明是在AD的不同阶段获得脑动力学原始描述的有用措施。 结论:因此,SF可能有助于更全面地了解基于MCI的神经底物,以及开发潜在的早期AD生物标记物。
关键词: 阿尔茨海默病,脑电图,轻度认知障碍,神经动力学,光谱通量,时空波动。
Current Alzheimer Research
Title:Spatio-Temporal Fluctuations of Neural Dynamics in Mild Cognitive Impairment and Alzheimer’s Disease
Volume: 14 Issue: 9
关键词: 阿尔茨海默病,脑电图,轻度认知障碍,神经动力学,光谱通量,时空波动。
摘要: Background: An accurate characterization of neural dynamics in mild cognitive impairment (MCI) is of paramount importance to gain further insights into the underlying neural mechanisms in Alzheimer’s disease (AD). Nevertheless, there has been relatively little research on brain dynamics in prodromal AD. As a consequence, its neural substrates remain unclear.
Methods: In the present research, electroencephalographic (EEG) recordings from patients with dementia due to AD, subjects with MCI due to AD and healthy controls (HC) were analyzed using relative power (RP) in conventional EEG frequency bands and a novel parameter useful to explore the spatio-temporal fluctuations of neural dynamics: the spectral flux (SF). Results: Our results suggest that dementia due to AD is associated with a significant slowing of EEG activity and several significant alterations in spectral fluctuations at low (i.e. theta) and high (i.e. beta and gamma) frequency bands compared to HC (p < 0.05). Furthermore, subjects with MCI due to AD exhibited a specific frequency-dependent pattern of spatio-temporal abnormalities, which can help identify neural mechanisms involved in cognitive impairment preceding AD. Classification analyses using linear discriminant analysis with a leave-one-out cross-validation procedure showed that the combination of RP and within-electrode SF at the beta band was useful to obtain a 77.3 % of accuracy to discriminate between HC and AD patients. In the case of comparison between HC and MCI subjects, the classification accuracy reached a value of 79.2 %, combining within-electrode SF at beta and gamma bands. SF has proven to be a useful measure to obtain an original description of brain dynamics at different stages of AD. Conclusion: Consequently, SF may contribute to gain a more comprehensive understanding into neural substrates underlying MCI, as well as to develop potential early AD biomarkers.Export Options
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Cite this article as:
Spatio-Temporal Fluctuations of Neural Dynamics in Mild Cognitive Impairment and Alzheimer’s Disease, Current Alzheimer Research 2017; 14 (9) . https://dx.doi.org/10.2174/1567205014666170309115656
DOI https://dx.doi.org/10.2174/1567205014666170309115656 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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