Division of Newborn Medicine, Department of Pediatrics, Washington University, St. Louis, MO, USA.
Division of Child Neurology, Department of Neurology, Washington University, St. Louis, MO, USA.
Pediatr Res. 2022 Mar;91(4):955-961. doi: 10.1038/s41390-021-01542-2. Epub 2021 Apr 26.
Seizures are underrecognized in preterm infants, and little is known about their impact on brain growth. We aimed to define the association between early seizures and subsequent brain growth.
Infants <30 weeks gestation underwent 72 h of prospective amplitude-integrated electroencephalography (aEEG) monitoring, term-equivalent age (TEA) magnetic resonance imaging (MRI), and 2-year neurodevelopmental testing. Seizures were defined as trains of sharp waves >10 s, evolving in frequency/amplitude/morphology, and identified using automated algorithms with manual review. Using T2-weighted images, cortical surface area (CSA) and gyrification index (GI) were calculated and volumes were segmented into five tissue classes: cerebrospinal fluid, gray matter, white matter (WM), deep nuclear gray matter, and cerebellum. Correlations between total seizure burden and tissue-specific volumes were evaluated, controlling for clinical variables of interest.
Ninety-nine infants underwent aEEG/MRI assessments (mean GA = 26.3 weeks, birthweight = 899 g). Seizure incidence was 55% with a median of two events; median length = 66 s and mean burden = 285 s. Greater seizure burden was associated with smaller CSA and volumes across all tissue types, most prominently in WM (R = -0.603, p < 0.01), even after controlling for confounders. There was no association with GI.
Seizures in preterm infants are common and associated with smaller TEA brain volumes. This relationship was strongest for WM and independent of clinical factors.
Seizures in preterm infants are common. Little is known about the association between early seizures and later brain growth. Greater seizure burden is linked with smaller volumes of all brain tissue types, most prominently the WM. This relationship is true even controlling for other factors. Additional study is needed to identify the optimal EEG monitoring and seizure treatment strategy for improved brain growth and neurodevelopmental outcomes.
早产儿的癫痫发作未得到充分认识,其对大脑生长的影响知之甚少。我们旨在定义早期癫痫发作与随后的大脑生长之间的关联。
胎龄<30 周的婴儿接受了 72 小时的前瞻性振幅整合脑电图(aEEG)监测、等效胎龄(TEA)磁共振成像(MRI)和 2 岁神经发育测试。癫痫发作被定义为持续>10 秒的尖波发作,频率/幅度/形态演变,并使用带有手动审查的自动算法识别。使用 T2 加权图像计算皮质表面积(CSA)和脑回指数(GI),并将体积分为五类组织:脑脊液、灰质、白质(WM)、深部核灰质和小脑。评估总发作负担与组织特异性体积之间的相关性,同时控制感兴趣的临床变量。
99 名婴儿接受了 aEEG/MRI 评估(平均胎龄为 26.3 周,出生体重为 899 克)。癫痫发作发生率为 55%,中位数为 2 次事件;中位数长度为 66 秒,平均负担为 285 秒。更大的发作负担与所有组织类型的 CSA 和体积更小相关,尤其是在 WM(R=-0.603,p<0.01),即使在控制混杂因素后也是如此。与 GI 无关。
早产儿癫痫发作很常见,与 TEA 脑体积较小有关。这种关系在 WM 中最强,与临床因素无关。
早产儿癫痫发作很常见。早期癫痫发作与后期大脑生长之间的关系知之甚少。更大的发作负担与所有脑组织结构的体积较小有关,尤其是 WM。即使在控制其他因素的情况下,这种关系也是如此。需要进一步研究以确定最佳的 EEG 监测和癫痫治疗策略,以改善大脑生长和神经发育结局。