Washington University School of Medicine, Department of Pediatrics and Department of Neurology and Department of Radiology, St. Louis, Missouri 63110, USA.
J Biomed Opt. 2010 Mar-Apr;15(2):026010. doi: 10.1117/1.3369809.
The neurodevelopmental outcome of neonatal intensive care unit (NICU) infants is a major clinical concern with many infants displaying neurobehavioral deficits in childhood. Functional neuroimaging may provide early recognition of neural deficits in high-risk infants. Near-infrared spectroscopy (NIRS) has the advantage of providing functional neuroimaging in infants at the bedside. However, limitations in traditional NIRS have included contamination from superficial vascular dynamics in the scalp. Furthermore, controversy exists over the nature of normal vascular, responses in infants. To address these issues, we extend the use of novel high-density NIRS arrays with multiple source-detector distances and a superficial signal regression technique to infants. Evaluations of healthy term-born infants within the first three days of life are performed without sedation using a visual stimulus. We find that the regression technique significantly improves brain activation signal quality. Furthermore, in six out of eight infants, both oxy- and total hemoglobin increases while deoxyhemoglobin decreases, suggesting that, at term, the neurovascular coupling in the visual cortex is similar to that found in healthy adults. These results demonstrate the feasibility of using high-density NIRS arrays in infants to improve signal quality through superficial signal regression, and provide a foundation for further development of high-density NIRS as a clinical tool.
新生儿重症监护病房(NICU)婴儿的神经发育结果是一个主要的临床关注点,许多婴儿在儿童期表现出神经行为缺陷。功能神经影像学可以提供高危婴儿神经缺陷的早期识别。近红外光谱(NIRS)具有在床边为婴儿提供功能神经影像学的优势。然而,传统 NIRS 的局限性包括头皮表面血管动力学的污染。此外,关于婴儿正常血管反应的性质存在争议。为了解决这些问题,我们将新型高密度 NIRS 阵列与多个源-探测器距离和表面信号回归技术扩展应用于婴儿。在不使用镇静剂的情况下,使用视觉刺激对出生后三天内的健康足月婴儿进行评估。我们发现回归技术显著改善了大脑激活信号质量。此外,在八名婴儿中有六名婴儿的氧合血红蛋白和总血红蛋白增加,脱氧血红蛋白减少,这表明在足月时,视觉皮层中的神经血管耦合与健康成年人相似。这些结果表明,在婴儿中使用高密度 NIRS 阵列通过表面信号回归来提高信号质量是可行的,并为进一步将高密度 NIRS 发展为临床工具提供了基础。