Special Issue "MEMS/NEMS for Neuroscience"
A special issue of Micromachines (ISSN 2072-666X).
Deadline for manuscript submissions: 1 May 2017
Prof. Dr. Nikos Chronis
Micro and Nano Electromechanical Systems (MEMS/NEMS) are increasingly used in a variety of applications in the field of neuroscience. Studies on single neurons, networks of cultured neurons and organoids, small model organisms, brain mapping, and stimulation have been greatly benefited by the use of microfluidic/lab-on-chip systems, neural probes, implantable biosensors, and microactuators. Key element of MEMS technology is its ability to interact with neurons and neuronal tissue through mechanical, optical, chemical, or electrical means with a high spatiotemporal accuracy. This Special Issue seeks to highlight recent advances of MEMS/NEMS technology in the field of basic and applied neuroscience, at the cellular and organism level. MEMS/NEMS tools for manipulating neuronal activity in vitro or in vivo are of special interest.
Prof. Dr. Nikos Chronis
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed Open Access monthly journal published by MDPI.
- neural probes
- neural dynamics
- neural networks
- neural imaging
- neural interfaces
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Implantation Study of Elongated Porous Silicon Microelectrodes Arrays in Rat Cortex
Author: Vamsy P. Chodavarapu
Abstract: Neural microprobes represent an important component of neural prosthetic systems where implanted microelectrodes record the electro-potentials generated by specific thoughts and convey the signals to algorithms trained to interpret these thoughts. We present novel elongated multi-site neural electrodes that can reach lengths longer than 10mm. We hypothesize that reaching such lengths allow the recording of cognitive signals required to derive cognitive prosthetics. The impedance of our electrode recordings sites was around 500 KΩ range at 1 kHz, which is consistent with electrodes needed for neurophysiological recordings. The electrodes were made porous using Xenon Difluoride (XeF2) dry etching to improve the biocompatibility and the adherence of the probes to the surrounding neural tissue. Numerical studies were performed to determine the reliability of the porous electrodes. We implanted the elongated probe in rat barrel cortex and show that the elongated electrodes are capable of simultaneously recording both spikes and local field potentials (LFPs) from several recording sites.
Title: Microfluidic device that mimics neurons for hybrid experiments
Author: Timothée Levi
Abstract: This article describes a new way to explore in the neuromorphic engineering, the biomimetic artificial neuron using microfluidic techniques. This new device could replace the electronic one and solve most of the issues of biocompatibility and power consumption. The biological neuron transmits electrical signals based on ion flow through their plasma membrane. Action potentials are propagated along axons and represent the fundamental electrical signals by which information are transmitted from one place to another in the nervous system. Based on this physiological behavior, we propose a microfluidic structure composed of chambers representing the intra and extracellular environments, connected by channels actuated by Quake valves. These channels are equipped with selective ion permeable membranes to mimic the exchange of species found in the biological neuron. Thick PDMS membrane is used to create the Quake valve membrane. Integrated electrodes are used to measure the potential difference between the intracellular and extracellular environments: the membrane potential.