多位点变异对电前庭的影响:环境和物理因素

B. Lithgow, Z. Moussavi
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摘要

背景:在阿尔茨海默病(AD)等病理病理中,下前庭声学系统存在生理变化,这可能在用作神经退行性变特征时具有潜在的有用性。我们假设两种前庭电特征类型(场电位形状和检测到的场电位的放电模式)可能作为神经退行性疾病的特征。我们的长期目标是使用帕金森病(PD)、AD、脑震荡后综合征(PCS)、双相情感障碍(BD)和重度抑郁症(MDD)患者群体以及个体病理年龄和性别匹配的对照队列,以确定每种病理与对照的差异程度,以及与每种病理通常相关(暂时或永久)的神经退行性变水平的比例。但是,在进行这种比较之前,必须确保在不同国家记录的各种人口具有可比性。本文确定了哪些人口具有可比性。方法:将AD (N = 16)与112名对照者中最匹配的健康对照人群(特定年龄/性别/记录地点/电极匹配对照)进行初步比较,得出两个EVestG特征(FP形状和FP放电模式)。这些特征被检查为他们的可变性相对于电极类型,年龄,性别,电力线频率和环境因素。结果:年龄、性别对特征无显著影响。电力线和环境人工制品可以通过过滤来解释;因此,它们对测量的特征没有显著影响。然而,电极类型对提取的特征有显著影响。结论:对于测试的两个EVestG特征,只有电极类型对记录有显著影响,因此提取的特征也有显著影响。因此,只能比较具有相同电极类型的种群。
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Effect of Multi-site Variabilities on Electrovestibulography: Environmental and Physical Factors
Background: There are physiological changes in pathologies such as Alzheimer’s Disease (AD) within the lower vestibuloacoustic system, which may be potentially useful when used as neurodegeneration features. We hypothesize two Electrovestibulography feature types (Field Potential (FP) shape and the Firing pattern of detected FP’s) may have utility as Neurodegeneration features. Our long term objective is to use a population of Parkinson’s Disease (PD), AD, Post-Concussion Syndrome (PCS), Bipolar Disorder (BD) and Major Depressive Disorder (MDD) patients together with individual pathology-wise age and gender matched control cohorts to determine the degree to which each of these pathologies varies from controls and in proportion to the level of Neurodegeneration often associated (either temporarily or permanently) with each pathology. However, before such a comparison can be made it is necessary to ensure the various populations recorded across different countries are comparable. This paper determines which populations are comparable. Methods: An initial comparison of AD (with N = 16) and a best matched healthy control population (with specific age/gender/recording site/electrode matched controls) from a pool of 112 controls produced two EVestG features (FP shape and FP firing pattern). These features were examined for their variability with respect to electrode type, age, gender, powerline frequency and environmental factors. Results: Age and gender did not have a significant impact on the features. Powerline and environmental artefacts could be accounted for by filtering; thus, they did not significantly affect the features measured. However, electrode type had a significant effect on the extracted features. Conclusions: For the two EVestG features tested only electrode type had a significant effect on the recordings, and hence the extracted features. Thus, only populations with the same electrode type can be compared.
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