Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
BMC Neurol. 2022 Jun 3;22(1):204. doi: 10.1186/s12883-022-02736-9.
It is important to assess the degree of brain injury and predict long-term outcomes in neonates diagnosed with hypoxic-ischemic encephalopathy (HIE). However, routine studies, including magnetic resonance imaging (MRI) and conventional encephalography (EEG) or amplitude-integrated EEG (aEEG), have their own limitations in terms of availability and accuracy of evaluation. Recently, quantitative EEG (qEEG) has been shown to improve the predictive reliability of neonatal HIE and has been further refined with brain mapping techniques.
We investigated background EEG activities in 29 neonates with HIE who experienced therapeutic hypothermia, via qEEG using a distributed source model. MRI images were evaluated and classified into two groups (normal-to-mild injury vs moderate-to-severe injury), based on a scoring system. Non-parametric statistical analysis using standardized low-resolution brain electromagnetic tomography was performed to compare the current density distribution of four frequency bands (delta, theta, alpha, and beta) between the two groups.
Electrical neuronal activities were significantly lower in the moderate-to-severe injury group compared with the normal-to-mild injury group. Background EEG activities in moderate-to-severe HIE were most significantly reduced in the temporal and parietal lobes. Quantitative EEG also revealed a decrease in background activity at all frequency bands, with a maximum in decrease in the delta component. The maximum difference in current density was found in the inferior parietal lobule of the right parietal lobe for the delta frequency band.
Our study demonstrated quantitative and topographical changes in EEG in moderate-to-severe neonatal HIE. They also suggest possible implementation and evaluation of conventional EEG and aEEG in neonatal HIE. The findings have implications as biomarkers in the assessment of neonatal HIE.
评估缺氧缺血性脑病(HIE)新生儿的脑损伤程度和预测长期预后非常重要。然而,常规研究,包括磁共振成像(MRI)和常规脑电图(EEG)或振幅整合脑电图(aEEG),在评估的可用性和准确性方面都存在自身的局限性。最近,定量脑电图(qEEG)已被证明可以提高新生儿 HIE 的预测可靠性,并进一步通过脑映射技术进行了细化。
我们通过使用分布式源模型对 29 例接受治疗性低温治疗的 HIE 新生儿进行 qEEG 研究,以调查其背景 EEG 活动。根据评分系统,对 MRI 图像进行评估和分类为两组(正常至轻度损伤与中重度损伤)。使用标准化低分辨率脑电磁层析成像进行非参数统计分析,以比较两组之间四个频带(delta、theta、alpha 和 beta)的电流密度分布。
与正常至轻度损伤组相比,中重度损伤组的电神经元活动明显降低。中重度 HIE 的背景 EEG 活动在颞叶和顶叶最为显著减少。定量 EEG 还显示背景活动在所有频带均降低,delta 分量的降低最为明显。delta 频带中右顶叶下顶叶叶的电流密度最大差异。
我们的研究表明,中度至重度新生儿 HIE 的 EEG 存在定量和拓扑变化。它们还表明,常规 EEG 和 aEEG 在新生儿 HIE 中的可能实施和评估。这些发现作为评估新生儿 HIE 的生物标志物具有意义。