Optical Phantoms for Calibrating a Novel Neuroimaging System Targeting Central Nervous System Fluid Flow Dynamics

Joseph P. Angelo, W. Coon, Matt Nagle, M. J. Fitch, Clara A. Scholl
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Abstract

Fluid flow dynamics in the brain's ventricles, interstitial spaces, and perivascular spaces, known as the “glymphatic system,” are hypothesized to play an important role in brain waste clearance. Healthy function of this complex fluid transporter is most active during sleep, may be critical for maintaining neurological health, and is hypothesized to be important for recovery after acute and chronic injury (e.g. concussion). At present, all sensors for monitoring brain fluid dynamics require invasive contrast agents (e.g. fluorescent dyes injected into cerebrospinal fluid, CSF) and/or are not portable or amenable to long-term repeated monitoring (e.g., magnetic resonance imaging (MRI) methods). We aim to adapt near infrared spectroscopy technologies, which traditionally track hemodynamic activity, to target fluid flow in the glymphatic system and to monitor the temporal dynamics of this water-dominated signal, with an eye toward future applications in continuous portable monitoring. Our goal is to extend frequency domain functional near infrared spectroscopy sensors (FD-fNIRS) to track these CSF-dominated fluid dynamics. In support of this aim, we developed two novel phantoms that mimic key elements of glymphatic system function to demonstrate application of novel FD-fNIRS sensors to human brains in a portable, noninvasive form factor amenable to repeated, continuous testing in a sleep lab-type environment.
光学幻影用于校准一种针对中枢神经系统流体流动动力学的新型神经成像系统
被称为“淋巴系统”的脑室、间质空间和血管周围空间的流体流动动力学被假设在脑废物清除中起重要作用。这种复杂的液体转运体的健康功能在睡眠期间最为活跃,可能对维持神经系统健康至关重要,并且被认为对急性和慢性损伤(如脑震荡)后的恢复很重要。目前,所有监测脑流体动力学的传感器都需要侵入性造影剂(如注入脑脊液的荧光染料)和/或不便携式或不适合长期重复监测(如磁共振成像(MRI)方法)。我们的目标是适应近红外光谱技术,传统上跟踪血流动力学活动,以淋巴系统中的流体流动为目标,监测这种水主导信号的时间动态,并着眼于未来在连续便携式监测中的应用。我们的目标是扩展频域功能近红外光谱传感器(FD-fNIRS)来跟踪这些以csf为主的流体动力学。为了支持这一目标,我们开发了两个模拟淋巴系统功能关键要素的新型模型,以演示新型FD-fNIRS传感器在便携式,非侵入性外形因素中的应用,可以在睡眠实验室类型的环境中重复,连续测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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