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Xing Sheng

Xing Sheng is currently working as an associate professor in the Department of Electronic Engineering, and IDG/McGovern Institute for Brain Research at Tsinghua University, China. He received his bachelor and PhD degrees from Tsinghua University and Massachusetts Institute of Technology, respectively. He worked as a postdoctoral researcher at University of Illinois Urbana-Champaign. His current interests are primarily in the implantable optical and electronic devices for biomedical applications. He has published more than 50 papers in peer-reviewed journals, like Nature Biomedical Engineering, Nature Communications, Science Advances, PNAS, etc. He is a fellow of Optica.


A Wireless Optoelectronic Probe Monitors Tissue Oxygenation in the Deep Brain

Xing Sheng*

* Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China (xingsheng@tsinghua.edu.cn)

 

Abstract

Real-time detection of tissue oxygenation in the nervous system is crucial for neuroscience exploration and clinical diagnostics. Compared to blood oxygenation, the partial pressure of oxygen in brain tissue (PbtO2) possesses more direct relevance to local neural activities and metabolic conditions. In this paper, we present an implantable optoelectronic probe that wirelessly and continuously monitors PbtO2 signals in the deep brain of living animals. The thin-film, microscale implant integrates a light-emitting diode and a photodetector coated with oxygen sensitive dyes. Powered by a battery or an inductive coil, a miniaturized circuit is capable of recording and wirelessly transmitting PbtO2 signals, which allows for simultaneous monitoring of PbtO2 levels in multiple freely moving rodents. The wireless micro-probe captures cerebral hypoxia states of mice in various scenarios, including altered inspired oxygen concentration and acute ischemia. Particularly, in mouse models with seizures, the micro-probe associates temporal PbtO2 variations in multiple brain regions with electrical stimulations imposed in the hippocampus. These materials and device strategies overcome the limits of existing oxygen sensing approaches and provide important insights into neurometabolic coupling.