Abstract
Intracerebral local field potential (LFP) measurements are commonly used to monitor brain activity, providing insight into the flow of information across neural networks. Herein we describe synthesis and application of a neural electrode possessing a nano/micro-scale porous surface topology for improved LFP measurement. Compared with conventional brain electrodes, the porous electrodes demonstrate higher measured amplitudes with lower noise levels.
Highlights
The brain contains numerous cells and neurons that convey information in the form of action potentials [1,2,3]
We find the porous neural electrodes (PNEs) show significantly improved local field potential (LFP) signal quality, enabling a significant advance in measurement technology
In the current research article, we developed a neural electrode possessing a nano/micro-scale porous surface topology for improved LFP measurement
Summary
The brain contains numerous cells and neurons that convey information in the form of action potentials [1,2,3]. Measurement of local field potential (LFP) [6,7,8], through the use of neural electrodes, is a common method for monitoring electrical brain signals. Silicon based electrodes/probes were most commonly used due to many significant advances corresponding to deep brain stimulation and neural recordings [12,13,14,15,16,17]. Wise et al, developed silicon-based electrode arrays at the cellular level and in particular studied for an increased number of recording sites [26]. Silicon based neural probes with new fabrication technique assembled in multifunctional i.e., two-dimensional (2D) and three-dimensional (3D) microprobes for neural in multifunctional i.e., two-dimensional (2D) and three-dimensional (3D) microprobes for neural recording were developed [30].
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.