Abstract
AbstractImplantable brain–computer interface (BCI) devices are an effective tool to decipher fundamental brain mechanisms and treat neural diseases. However, traditional neural implants with rigid or bulky cross-sections cause trauma and decrease the quality of the neuronal signal. Here, we propose a MEMS-fabricated flexible interface device for BCI applications. The microdevice with a thin film substrate can be readily reduced to submicron scale for low-invasive implantation. An elaborate silicon shuttle with an improved structure is designed to reliably implant the flexible device into brain tissue. The flexible substrate is temporarily bonded to the silicon shuttle by polyethylene glycol. On the flexible substrate, eight electrodes with different diameters are distributed evenly for local field potential and neural spike recording, both of which are modified by Pt-black to enhance the charge storage capacity and reduce the impedance. The mechanical and electrochemical characteristics of this interface were investigated in vitro. In vivo, the small cross-section of the device promises reduced trauma, and the neuronal signals can still be recorded one month after implantation, demonstrating the promise of this kind of flexible BCI device as a low-invasive tool for brain–computer communication.
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Condensed Matter Physics,Materials Science (miscellaneous),Atomic and Molecular Physics, and Optics
Reference45 articles.
1. Sharifi, M. S. Treatment of neurological and psychiatric disorders with deep brain stimulation raising hopes and future challenges. Basic Clin. Neurosci. 4, 266–270 (2013).
2. Wang, J., He, T. & Lee, C. Development of neural interfaces and energy harvesters towards self-powered implantable systems for healthcare monitoring and rehabilitation purposes. Nano Energy 65, 104039 (2019).
3. Ji, B. et al. Recent advances in wireless epicortical and intracortical neuronal recording systems. Science China Inform. Sci. 65 (2022).
4. Hochberg, L. R. et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 442, 164–171 (2006).
5. HajjHassan, M., Chodavarapu, V. & Musallam, S. NeuroMEMS: neural probe microtechnologies. Sensors (Basel) 8, 6704–6726 (2008).
Cited by
18 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献