Download Electrophysiology Measurements for Studying Neural Interfaces Ebook PDF

Electrophysiology Measurements for Studying Neural Interfaces helps readers to choose a proper cell line and set-up for studying different bio-electronic interfaces before delving into the electrophysiology techniques available. Therefore, this book details the materials and devices needed for different types of neural stimulation such as photoelectrical and photothermal stimulations. Also, modern techniques like optical electrophysiology and calcium imaging in this book provides readers with more available approaches to monitor neural activities in addition to whole-cell patch-clamp technology. Details steps of an electrophysiology project from start to finish for graduate students employing the technique in their research Includes sample electrophysiological studies with multiple cell lines (PC12, N2a, NG108, SHSY, and embryonic stem cell lines) to facilitate research Features data analysis of electrophysiology results from various relevant experiments and cell culture tips

The brain is a wondrous and complex organ, a biological machine forged by the evolutionary forces of nature. The human brain contains 100 billion neurons and each neuron is connected by synapses to several thousand other neurons. Connected neurons work together to produce perceptions and sensations, memories and emotions, physical movements and abstract constructs. The neurons communicate by means of electricity that passes along and across their cellular membrane. Much of what is known about brain physiology is through the measurement of this electrical activity, either with relatively large electrodes placed on the scalp or tiny microelectrodes inserted into the brain tissue itself. At the finer end of this scale, scientists have discovered much about the way individual neurons extract sensory information, adapt their behavior to form a memory, and convey signals to other regions of the brain. However, it has long been recognized that the brain operates on a global scale, through the collective behavior and interaction of its neural units1. Information is processed in several regions of the brain simultaneously, and the activity of neighboring neurons can be quite different from one another. By one analogy, the attempt to assess brain function by observing a single neuron is like looking at the output of one transistor to learn how a computer works. Thus, the recording of many neurons simultaneously is necessary to truly reveal the mechanisms of the brain2. In recent decades, a variety of recording techniques have been developed for a neural interface such as electroencephalography (EEG), magneto-encephalography (MEG), electrocorticography (ECOG), local field potential (LFP) recordings, micro-electrode array (MEA) and peripheral nerve interfaces (PNIs) to the micron-level precision required for multi-neuron recording. Their small size allows many recording channels to be placed onto one device. One of the goals of neural interface research is to create a seamless connection between the nervous system and the neuroprostheses either by stimulating or by recording from neural tissue to restore or substitute function for individuals with neurological deficits or disabilities. Hence, significant amount of scientific and technological efforts have been devoted to develop neural interfaces that link the nervous system with robotic prosthetic devices. The creation of a novel neural interface is essential for developing the full potential of advanced prosthesis technology required to replace lost limbs. Additionally, meticulous studies of a single neuron and between neurons utilizing the neural interface technology should be made to elucidate fundamental biological phenomena such as cellular processes and heterogeneities. Particularly, an electrophysiological study of neural networks can provide knowledge to unravel the functions of brain. When fundamental research about molecular and cellular mechanisms of a single neuron and electrophysiological studies using neural interfaces on both the central and peripheral nervous systems are done together, it has a synergistic effect on neural interface technology. The research and methodologies described in this dissertation stem from our research group's efforts to optimize the design and expand the applications of neural interfaces. The dissertation is organized into four chapters. Chapter 1 is a review of neural interface technology and study of neural signal detection. This chapter provides a foundation for Chapter 2 and 3. Chapter 2 is a study of a neural interface as cellular level research. We present an advanced single-neuronal cell culture and monitoring platform using a fully transparent microfluidic dielectrophoresis (DEP) device for unabated monitoring of neuronal cell development and function. The device is mounted inside a sealed incubation chamber to ensure improved homeostatic conditions and reduced contamination risk. Consequently, we successfully trap and culture single neurons on a desired location and monitor their growth process over a week. Chapter 3 deals with the specific application of PNIs to the sciatic nerve of a rat as a nervous system-level research. We developed novel devices, "cuff and sieve electrodes" (CASE), that integrate microfabricated cuff and sieve electrodes capable of broad (via cuff) and precise (via sieve) selectivity to increase the strengths and simultaneously decrease the weaknesses of traditional electrode designs. We performed terminal device implantations in a rat sciatic transection and repair model to test the capacity of the CASE interface. The sciatic nerve was stimulated by the sieve portion of the CASE electrode and somatosensory evoked potentials were recorded from the somatosensory cortex via micro-eletrocorticography. The ability to elicit cortical responses from sciatic nerve stimulation demonstrates the proof of concept for both the implantation and chronic monitoring of CASE interfaces for innovative prosthetic control. Lastly, in Chapter 4, I will identify areas in which further investigation is needed and propose future directions of both cellular and system-level neural interface.

Closed-loop neurophysiology has been accelerated by recent software and hardware developments and by the emergence of novel tools to control neuronal activity with spatial and temporal precision, in which stimuli are delivered in real time based on recordings or behavior. Real-time stimulation feedback enables a wide range of innovative studies of information processing and plasticity in neuronal networks. This Research Topic e-Book comprises 16 Original Research Articles, seven Methods Articles, and seven Reviews, Mini- Reviews, and Perspectives, all peer-reviewed and published in Frontiers in Neural Circuits. The contributions deal with closed loop neurophysiology experiments at a variety of levels of neural circuit complexity. Some include modeling and theoretical analyses. New enabling technologies and techniques are described. Novel work is presented from experiments in vitro, in vivo, and in humans, along with their clinical and technological implications for improving the human condition.

Each issue of Transactions B is devoted to a specific area of the biological sciences, including clinical science. All papers are peer reviewed and edited to the highest standards. Published on the 29th of each month, Transactions B is essential reading for all biologists.

Designed to enable newcomers to electrophysiology to choose appropriate preparations and techniques for in vitro studies in vertebrate neurobiology. Emphasizes techniques involving the glass micropipette and other recently developed methods, supplementing easy-to-follow instructions with illustrative schemes, examples of original records, photomicrographs, key word listings, comprehensive reference tables and a list of suppliers and key equipment and reagents.

"IEEE Catalog Number: 04CH37558"--T.p. verso.

A selection of annotated references to unclassified reports and journal articles that were introduced into the NASA scientific and technical information system and announced in Scientific and technical aerospace reports (STAR) and International aerospace abstracts (IAA).