Department of Bioengineering, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Sci Rep. 2020 Jun 8;10(1):9183. doi: 10.1038/s41598-020-66227-y.
Birth asphyxia constitutes a major global public health burden for millions of infants with a critical need for real time physiological biomarkers. This proof of concept study targets the translational rigor of such biomarkers and aims to examine whether the variability in the amplitude-integrated EEG (aEEG) outputs impact the determination of neurovascular coupling (NVC) in newborns with encephalopathy. A convenience sample with neonatal asphyxia were monitored for twenty hours in the first day of life with EEG and near infrared spectroscopy (NIRS)-based cerebral tissue oxygen saturation (SctO2). NVC between aEEG and NIRS-SctO2 was assessed using wavelet transform coherence (WTC) analysis, specifically by the wavelet total pixel number of significant coherences within 95% confidence interval. The raw EEG was converted to aEEG using three different methods: Method (M1) derives from the algorithm by Zhang and Ding. Method (M2) uses a Neonatal EEG Analysis Toolbox (WU-NEAT). Method (M3) extracts output directly from a commercial platform with an undisclosed algorithm. Our results demonstrate excellent agreement with Bland Altman comparisons for WTC-based NVC irrespective of the algorithms used, despite significant heterogeneities in the aEEG tracings produced by three algorithms. Our findings confirm the robustness of NVC wavelet analysis in Neonatal Encephalopathy related to HIE.
出生窒息对全球数以百万计的婴儿构成了重大的公共卫生负担，迫切需要实时的生理生物标志物。本概念验证研究旨在检验振幅整合脑电图（aEEG）输出的可变性是否会影响脑病新生儿的神经血管耦合（NVC）的确定，针对的是此类生物标志物的转化严谨性。对具有新生儿窒息的便利样本，在生命的第一天进行了长达二十小时的脑电图和近红外光谱（NIRS）脑氧饱和度（SctO2）监测。使用小波变换相干性（WTC）分析评估 aEEG 和 NIRS-SctO2 之间的 NVC，具体方法是在 95%置信区间内计算具有显著相干性的小波总像素数。原始 EEG 使用三种不同的方法转换为 aEEG：方法（M1）源自 Zhang 和 Ding 的算法。方法（M2）使用新生儿脑电图分析工具箱（WU-NEAT）。方法（M3）直接从具有未公开算法的商业平台提取输出。尽管三种算法产生的 aEEG 轨迹存在显著异质性，但我们的结果表明，基于 WTC 的 NVC 的 WTC 分析具有极好的一致性，与 Bland Altman 比较。我们的研究结果证实了在与 HIE 相关的新生儿脑病中，NVC 小波分析的稳健性。
