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首页> 外文期刊>Journal of neural engineering >A new method to build multiplex networks using canonical correlation analysis for the characterization of the Alzheimer’s disease continuum
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A new method to build multiplex networks using canonical correlation analysis for the characterization of the Alzheimer’s disease continuum

机译:一种使用规范相关分析构建多路复用网络的新方法,以表征阿尔茨海默氏病连续体

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摘要

Objective. The aim of this study was to solve one of the current limitations for the characterizationof the brain network in the Alzheimer’s disease (AD) continuum. Nowadays, frequency-dependentapproaches have reached contradictory results depending on the frequency band under study,tangling the possible clinical interpretations. Approach. To overcome this issue, we proposed a newmethod to build multiplex networks based on canonical correlation analysis (CCA). Our methoddetermines two basis vectors using the source and electrode-level frequency-specific networkparameters for a reference group, and then project the results for the rest of the groups into thesehyperplanes to make them comparable. It was applied to: (ⅰ) synthetic signals generated with aKuramoto-based model; and (ⅱ) a resting-state electroencephalography (EEG) database formed byrecordings from 51 cognitively healthy controls, 51 mild cognitive impairment subjects, 51 mildAD patients, 50 moderate AD patients, and 50 severe AD patients. Main results. Our results usingsynthetic signals showed that the interpretation of the proposed CCA-based multiplex parameters(multiplex strength, multiplex characteristic path length and multiplex clustering coefficient) canbe analogous to their frequency-specific counterparts, as they displayed similar behaviors in termsof average connectivity, integration, and segregation. Findings using real EEG recordings revealedthat dementia due to AD is characterized by a significant increase in average connectivity, and by aloss of integration and segregation. Significance. We can conclude that CCA can be used to buildmultiplex networks based from frequency-specific results, summarizing all the availableinformation and avoiding the limitations of possible frequency-specific conflicts. Additionally, ourmethod supposes a novel approach for the construction and analysis of multiplex networks duringAD continuum.
机译:客观的。本研究的目的是解决表征的当前限制之一在阿尔茨海默病中的大脑网络(AD)连续核。如今,频率依赖根据研究的频段,方法达到了矛盾的结果,纠结可能的临床解释。方法。为了克服这个问题,我们提出了一个新的基于规范相关分析的构建多路复用网络的方法(CCA)。我们的方法使用源和电极级频率特定网络确定两个基向量参考组的参数,然后将其余部分的结果项目投入到这些中超平面使它们可比。它适用于:(Ⅰ)用A产生的合成信号基于库拉莫托的模型; (Ⅱ)休息状态脑电图(EEG)数据库录音来自51人认知健康的控制,51个轻度认知障碍科目,51温和AD患者,50例中度AD患者和50例严重的AD患者。主要结果。我们的结果使用合成信号表明,解释所提出的基于CCA的多路复用参数(多重强度,多路复用特征路径长度和多路复用聚类系数)可以类似于其频率特定的对应物,因为它们在术语中显示了类似的行为平均连接,集成和隔离。使用真正的EEG录制的调查结果显示由于广告引起的痴呆症的特征在于平均连接的显着增加,并且通过a丧失整合和隔离。意义。我们可以得出结论,CCA可用于构建基于频率特定结果的多路复用网络总结了所有可用的信息并避免可能频率特定冲突的限制。此外,我们的方法假设多路复用网络建设和分析的新方法广告连续体。

著录项

  • 来源
    《Journal of neural engineering》 |2021年第2期|1-11|共11页
  • 作者单位

    Biomedical Engineering Group E.T.S.I. Telecomunicacion University of Valladolid Paseo de Belen 15 47011 Valladolid Spain Centro de Investigacion Biomedica en Red en Bioingenieria (CIBER-BBN) Madrid Spain;

    Biomedical Engineering Group E.T.S.I. Telecomunicacion University of Valladolid Paseo de Belen 15 47011 Valladolid Spain Centro de Investigacion Biomedica en Red en Bioingenieria (CIBER-BBN) Madrid Spain IMUVA Mathematics Research Institute University of Valladolid Valladolid Spain;

    Biomedical Engineering Group E.T.S.I. Telecomunicacion University of Valladolid Paseo de Belen 15 47011 Valladolid Spain Centro de Investigacion Biomedica en Red en Bioingenieria (CIBER-BBN) Madrid Spain IMUVA Mathematics Research Institute University of Valladolid Valladolid Spain;

    Biomedical Engineering Group E.T.S.I. Telecomunicacion University of Valladolid Paseo de Belen 15 47011 Valladolid Spain Centro de Investigacion Biomedica en Red en Bioingenieria (CIBER-BBN) Madrid Spain;

    Biomedical Engineering Group E.T.S.I. Telecomunicacion University of Valladolid Paseo de Belen 15 47011 Valladolid Spain Centro de Investigacion Biomedica en Red en Bioingenieria (CIBER-BBN) Madrid Spain;

    Biomedical Engineering Group E.T.S.I. Telecomunicacion University of Valladolid Paseo de Belen 15 47011 Valladolid Spain Centro de Investigacion Biomedica en Red en Bioingenieria (CIBER-BBN) Madrid Spain;

    Biomedical Engineering Group E.T.S.I. Telecomunicacion University of Valladolid Paseo de Belen 15 47011 Valladolid Spain Centro de Investigacion Biomedica en Red en Bioingenieria (CIBER-BBN) Madrid Spain;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    canonical correlation analysis; connectivity; multiplex networks; synthetic signals; electroencephalography (EEG); Alzheimer’s disease; mild cognitive impairment;

    机译:规范相关分析;连接;多路复用网络;合成信号;脑电图(EEG);阿尔茨海默氏病;轻度认知障碍;

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