Relevant bibliographies by topics / In vivo extracellular recording

Academic literature on the topic 'In vivo extracellular recording'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "In vivo extracellular recording"

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Allen, Brian D., Caroline Moore-Kochlacs, Jacob G. Bernstein, Justin P. Kinney, Jorg Scholvin, Luís F. Seoane, Chris Chronopoulos, et al. "Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability." Journal of Neurophysiology 120, no. 5 (November 1, 2018): 2182–200. http://dx.doi.org/10.1152/jn.00650.2017.

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Much innovation is currently aimed at improving the number, density, and geometry of electrodes on extracellular multielectrode arrays for in vivo recording of neural activity in the mammalian brain. To choose a multielectrode array configuration for a given neuroscience purpose, or to reveal design principles of future multielectrode arrays, it would be useful to have a systematic way of evaluating the spike recording capability of such arrays. We describe an automated system that performs robotic patch-clamp recording of a neuron being simultaneously recorded via an extracellular multielectrode array. By recording a patch-clamp data set from a neuron while acquiring extracellular recordings from the same neuron, we can evaluate how well the extracellular multielectrode array captures the spiking information from that neuron. To demonstrate the utility of our system, we show that it can provide data from the mammalian cortex to evaluate how the spike sorting performance of a close-packed extracellular multielectrode array is affected by bursting, which alters the shape and amplitude of spikes in a train. We also introduce an algorithmic framework to help evaluate how the number of electrodes in a multielectrode array affects spike sorting, examining how adding more electrodes yields data that can be spike sorted more easily. Our automated methodology may thus help with the evaluation of new electrode designs and configurations, providing empirical guidance on the kinds of electrodes that will be optimal for different brain regions, cell types, and species, for improving the accuracy of spike sorting. NEW & NOTEWORTHY We present an automated strategy for evaluating the spike recording performance of an extracellular multielectrode array, by enabling simultaneous recording of a neuron with both such an array and with patch clamp. We use our robot and accompanying algorithms to evaluate the performance of multielectrode arrays on supporting spike sorting.
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Chorev, Edith, and Michael Brecht. "In vivo dual intra- and extracellular recordings suggest bidirectional coupling between CA1 pyramidal neurons." Journal of Neurophysiology 108, no. 6 (September 15, 2012): 1584–93. http://dx.doi.org/10.1152/jn.01115.2011.

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Spikelets, small spikelike membrane potential deflections, are prominent in the activity of hippocampal pyramidal neurons in vivo. The origin of spikelets is still a source of much controversy. Somatically recorded spikelets have been postulated to originate from dendritic spikes, ectopic spikes, or spikes in an electrically coupled neuron. To differentiate between the different proposed mechanisms we used a dual recording approach in which we simultaneously recorded the intracellular activity of one CA1 pyramidal neuron and the extracellular activity in its vicinity, thus monitoring extracellularly the activity of both the intracellularly recorded cell as well as other units in its surroundings. Spikelets were observed in a quarter of our recordings ( n = 36). In eight of these nine recordings a second extracellular unit fired in correlation with spikelet occurrences. This observation is consistent with the idea that the spikelets reflect action potentials of electrically coupled nearby neurons. The extracellular spikes of these secondary units preceded the onset of spikelets. While the intracellular spikelet amplitude was voltage dependent, the simultaneously recorded extracellular unit remained unchanged. Spikelets often triggered action potentials in neurons, resulting in a characteristic 1- to 2-ms delay between spikelet onset and firing. Here we show that this relationship is bidirectional, with spikes being triggered by and also triggering spikelets. Secondary units, coupled to pyramidal neurons, showed discharge patterns similar to the recorded pyramidal neuron. These findings suggest that spikelets reflect spikes in an electrically coupled neighboring neuron, most likely of pyramidal cell type. Such coupling might contribute to the synchronization of pyramidal neurons with millisecond precision.
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Kubota, Yoshihiro, Shota Yamagiwa, Hirohito Sawahata, Shinnosuke Idogawa, Shuhei Tsuruhara, Rika Numano, Kowa Koida, Makoto Ishida, and Takeshi Kawano. "Long nanoneedle-electrode devices for extracellular and intracellular recording in vivo." Sensors and Actuators B: Chemical 258 (April 2018): 1287–94. http://dx.doi.org/10.1016/j.snb.2017.11.152.

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Akaoka, Hideo, Claude-François Saunier, Karima Chergui, Paul Charléty, Michel Buda, and Guy Chouvet. "Combining in vivo volume-controlled pressure microejection with extracellular unit recording." Journal of Neuroscience Methods 42, no. 1-2 (April 1992): 119–28. http://dx.doi.org/10.1016/0165-0270(92)90142-z.

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Kita, Yuto, Shuhei Tsuruhara, Hiroshi Kubo, Koji Yamashita, Yu Seikoba, Shinnosuke Idogawa, Hirohito Sawahata, et al. "Three-micrometer-diameter needle electrode with an amplifier for extracellular in vivo recordings." Proceedings of the National Academy of Sciences 118, no. 16 (April 12, 2021): e2008233118. http://dx.doi.org/10.1073/pnas.2008233118.

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Microscale needle-electrode devices offer neuronal signal recording capability in brain tissue; however, using needles of smaller geometry to minimize tissue damage causes degradation of electrical properties, including high electrical impedance and low signal-to-noise ratio (SNR) recording. We overcome these limitations using a device assembly technique that uses a single needle-topped amplifier package, called STACK, within a device of ∼1 × 1 mm2. Based on silicon (Si) growth technology, a <3-µm-tip-diameter, 400-µm-length needle electrode was fabricated on a Si block as the module. The high electrical impedance characteristics of the needle electrode were improved by stacking it on the other module of the amplifier. The STACK device exhibited a voltage gain of >0.98 (−0.175 dB), enabling recording of the local field potential and action potentials from the mouse brain in vivo with an improved SNR of 6.2. Additionally, the device allowed us to use a Bluetooth module to demonstrate wireless recording of these neuronal signals; the chronic experiment was also conducted using STACK-implanted mice.
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Nelson, Matthew J., Silvana Valtcheva, and Laurent Venance. "Magnitude and behavior of cross-talk effects in multichannel electrophysiology experiments." Journal of Neurophysiology 118, no. 1 (July 1, 2017): 574–94. http://dx.doi.org/10.1152/jn.00877.2016.

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Modern neurophysiological experiments frequently involve multiple channels separated by very small distances. A unique methodological concern for multiple-electrode experiments is that of capacitive coupling (cross-talk) between channels. Yet the nature of the cross-talk recording circuit is not well known in the field, and the extent to which it practically affects neurophysiology experiments has never been fully investigated. Here we describe a simple electrical circuit model of simultaneous recording and stimulation with two or more channels and experimentally verify the model using ex vivo brain slice and in vivo whole-brain preparations. In agreement with the model, we find that cross-talk amplitudes increase nearly linearly with the impedance of a recording electrode and are larger for higher frequencies. We demonstrate cross-talk contamination of action potential waveforms from intracellular to extracellular channels, which is observable in part because of the different orders of magnitude between the channels. This contamination is electrode impedance-dependent and matches predictions from the model. We use recently published parameters to simulate cross-talk in high-density multichannel extracellular recordings. Cross-talk effectively spatially smooths current source density (CSD) estimates in these recordings and induces artefactual phase shifts where underlying voltage gradients occur; however, these effects are modest. We show that the effects of cross-talk are unlikely to affect most conclusions inferred from neurophysiology experiments when both originating and receiving electrode record signals of similar magnitudes. We discuss other types of experiments and analyses that may be susceptible to cross-talk, techniques for detecting and experimentally reducing cross-talk, and implications for high-density probe design. NEW & NOTEWORTHY We develop and experimentally verify an electrical circuit model describing cross-talk that necessarily occurs between two channels. Recorded cross-talk increased with electrode impedance and signal frequency. We recorded cross-talk contamination of spike waveforms from intracellular to extracellular channels. We simulated high-density multichannel extracellular recordings and demonstrate spatial smoothing and phase shifts that cross-talk enacts on CSD measurements. However, when channels record similar-magnitude signals, effects are modest and unlikely to affect most conclusions.
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Huan, Yu, Jeffrey P. Gill, Johanna B. Fritzinger, Paras R. Patel, Julianna M. Richie, Elena Della Valle, James D. Weiland, Cynthia A. Chestek, and Hillel J. Chiel. "Carbon fiber electrodes for intracellular recording and stimulation." Journal of Neural Engineering 18, no. 6 (December 1, 2021): 066033. http://dx.doi.org/10.1088/1741-2552/ac3dd7.

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Abstract Objective. To understand neural circuit dynamics, it is critical to manipulate and record many individual neurons. Traditional recording methods, such as glass microelectrodes, can only control a small number of neurons. More recently, devices with high electrode density have been developed, but few of them can be used for intracellular recording or stimulation in intact nervous systems. Carbon fiber electrodes (CFEs) are 8 µm-diameter electrodes that can be assembled into dense arrays (pitches ⩾ 80 µm). They have good signal-to-noise ratios (SNRs) and provide stable extracellular recordings both acutely and chronically in neural tissue in vivo (e.g. rat motor cortex). The small fiber size suggests that arrays could be used for intracellular stimulation. Approach. We tested CFEs for intracellular stimulation using the large identified and electrically compact neurons of the marine mollusk Aplysia californica. Neuron cell bodies in Aplysia range from 30 µm to over 250 µm. We compared the efficacy of CFEs to glass microelectrodes by impaling the same neuron’s cell body with both electrodes and connecting them to a DC coupled amplifier. Main results. We observed that intracellular waveforms were essentially identical, but the amplitude and SNR in the CFE were lower than in the glass microelectrode. CFE arrays could record from 3 to 8 neurons simultaneously for many hours, and many of these recordings were intracellular, as shown by simultaneous glass microelectrode recordings. CFEs coated with platinum-iridium could stimulate and had stable impedances over many hours. CFEs not within neurons could record local extracellular activity. Despite the lower SNR, the CFEs could record synaptic potentials. CFEs were less sensitive to mechanical perturbations than glass microelectrodes. Significance. The ability to do stable multi-channel recording while stimulating and recording intracellularly make CFEs a powerful new technology for studying neural circuit dynamics.
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Neto, Joana P., Gonçalo Lopes, João Frazão, Joana Nogueira, Pedro Lacerda, Pedro Baião, Arno Aarts, et al. "Validating silicon polytrodes with paired juxtacellular recordings: method and dataset." Journal of Neurophysiology 116, no. 2 (August 1, 2016): 892–903. http://dx.doi.org/10.1152/jn.00103.2016.

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Cross-validating new methods for recording neural activity is necessary to accurately interpret and compare the signals they measure. Here we describe a procedure for precisely aligning two probes for in vivo “paired-recordings” such that the spiking activity of a single neuron is monitored with both a dense extracellular silicon polytrode and a juxtacellular micropipette. Our new method allows for efficient, reliable, and automated guidance of both probes to the same neural structure with micrometer resolution. We also describe a new dataset of paired-recordings, which is available online. We propose that our novel targeting system, and ever expanding cross-validation dataset, will be vital to the development of new algorithms for automatically detecting/sorting single-units, characterizing new electrode materials/designs, and resolving nagging questions regarding the origin and nature of extracellular neural signals.
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Lavian, Gila, Doron Kopelman, Avshalom Shenhav, Eugene Konyukhov, Urit Gardi, Asaph Zaretzky, Rona Shofti, John P. M. Finberg, and Moshe Hashmonai. "In vivo extracellular recording of sympathetic ganglion activity in a chronic animal model." Clinical Autonomic Research 13 (December 1, 2003): 1. http://dx.doi.org/10.1007/s10286-003-1121-3.

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Buccino, Alessio Paolo, and Gaute Tomas Einevoll. "MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity." Neuroinformatics 19, no. 1 (July 9, 2020): 185–204. http://dx.doi.org/10.1007/s12021-020-09467-7.

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AbstractWhen recording neural activity from extracellular electrodes, both in vivo and in vitro, spike sorting is a required and very important processing step that allows for identification of single neurons’ activity. Spike sorting is a complex algorithmic procedure, and in recent years many groups have attempted to tackle this problem, resulting in numerous methods and software packages. However, validation of spike sorting techniques is complicated. It is an inherently unsupervised problem and it is hard to find universal metrics to evaluate performance. Simultaneous recordings that combine extracellular and patch-clamp or juxtacellular techniques can provide ground-truth data to evaluate spike sorting methods. However, their utility is limited by the fact that only a few cells can be measured at the same time. Simulated ground-truth recordings can provide a powerful alternative mean to rank the performance of spike sorters. We present here , a Python-based software which permits flexible and fast simulation of extracellular recordings. allows users to generate extracellular signals on various customizable electrode designs and can replicate various problematic aspects for spike sorting, such as bursting, spatio-temporal overlapping events, and drifts. We expect will provide a common testbench for spike sorting development and evaluation, in which spike sorting developers can rapidly generate and evaluate the performance of their algorithms.
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Dissertations / Theses on the topic "In vivo extracellular recording"

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Bradley, Peter Mark James. "A Novel Fibre-Optic Probe for Simultaneous Extracellular Electrical and Intracellular Fluorescence Recording in Neurones In Situ and In Vito." Thesis, University of Bristol, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.503894.

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Kobaïter, Maarawi Sandra. "Effets électrophysiologiques de la stimulation du cortex moteur sur les noyaux somatosensorielslatéraux du thalamus : étude expérimentale sur un modèle de stimulation du cortex moteur chez le chat." Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10100/document.

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La stimulation du cortex moteur (SCM) est une technique neurochirurgicale utilisée chez l'Homme comme traitement de dernier recours pour les douleurs neuropathiques rebelles. Elle a été développée sur des bases empiriques. Ce travail vise à une meilleure compréhension des mécanismes d'action de la SCM qui restent incomplètement élucidés à ce jour. L'objectif de cette thèse est d'étudier les effets électrophysiologiques de la SCM au niveau thalamique, chez un modèle de chat. La première partie de cette étude a consisté à établir une cartographie stéréotaxique du cortex moteur (CM) de cet animal, inexistante dans la littérature. À partir de cette cartographie, nous avons pu établir et valider un modèle de SCM chez cet animal, implanté de façon mini-invasive. La deuxième partie de ce travail a consisté à recueillir et analyser les changements électrophysiologiques de l'activité extracellulaire unitaire des cellules du noyau ventro-postéro-latéral (VPL) du thalamus, induits par différents protocoles de SCM. Nos résultats montrent une modulation de l'activité des cellules du VPL par la SCM, qui varie en fonction de la nature nociceptive ou non de la cellule thalamique. La SCM augmente l'activité des cellules non nociceptives et diminue celle des cellules nociceptives. Pour une cellule donnée, l'effet observé est indépendant de la correspondance somatotopique entre la région du CM stimulée et la localisation sur le corps du champ récepteur de la cellule enregistrée. Ce travail a ainsi permis de montrer l'existence d'une neuro-modulation différentielle du VPL par la SCM en fonction de la nature de la cellule thalamique
Motor cortex stimulation (MCS) is a neurosurgical technique developed on empirical basis and currently used as last solution for patients suffering from refractory neuropathic pain. The present work is a new attempt among other contemporary studies aiming to understand the mechanisms of action of MCS, which remain incompletely elucidated at that time. The main objective of this thesis is to study the electrophysiological effect of MCS at the thalamic level, in a cat model. The first part of this work aims to establish the stereotactic somatotopic map of the cat motor cortex (MC), not available so far in the literature. Based on this mapping, we created and validated a cat model of MCS, using a mini-invasive electrode implantation. The second part of this study included a recording and analysis of the potential changes of the unitary extracellular activity of cells located in the thalamic ventro-postero-lateral (VPL) nucleus, induced by different MCS protocols. Our results indicate a modulation of the VPL cells activity after MCS, depending on the nociceptive or non-nociceptive nature of the recorded thalamic cell. MCS increases the activity of non-nociceptive cells and decreases that of nociceptive cells. For a given cell the matching between the somatotopy of the MC stimulated region and the receptive field localization of the recorded thalamic cell is not a prerequisite for obtaining such a modulation. In conclusion, the present work has proven a neuro-modulatory differential effect of MCS on nociceptive and non-nociceptive cells in the thalamic VPL nucleus
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Blum, Richard Alan. "An Electronic System for Extracellular Neural Stimulation and Recording." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16192.

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A system for extracellular neural interfacing that had the capability for stimulation and recording at multiple electrodes was presented. As the core of this system was a custom integrated circuit (IC) that contained low-noise amplifiers, stimulation buffers, and artifact-elimination circuitry. The artifact-elimination circuitry was necessary to prevent the activity of the stimulation buffers from interfering with the normal functioning of the low-noise amplifiers. The integrated circuits were fabricated in in a 0.35 micron CMOS process. We measured input-referred noise levels for the amplifiers as low as 3.50 microvolts (rms) in the in the bandwidth 30 Hz-3 kHz, corresponding to the frequency range of neural action potentials. The power consumption was 120 microwatts, corresponding to a noise-efficiency factor of 14.5. It was possible to resume recording signals within 2 ms of a stimulation, using the same electrode for both stimulation and recording. A filtering algorithm to remove the post-discharge artifact was also presented. The filtering was implemented using a field-programmable gate array (FPGA). The filtering algorithm itself consisted of blanking for the duration of the stimulation and artifact-elimination, followed by a wavelet de-noising. The wavelet de-noising split the signal into frequency ranges, discarded those ranges that did not correspond to neural signals, applied a threshold to the retained signals, and recombined the different frequency ranges into a single signal. The combination of the filtering with the artifact-elimination IC resulted in the capability for artifact-free recordings.
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Bernstein, Jacob (Jacob Gold). "Development of extracellular electrophysiology methods for scalable neural recording." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107581.

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Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references.
In order to map the dynamics of neural circuits in mammalian brains, there is a need for tools that can record activity over large volumes of tissue and correctly attribute the recorded signals to the individual neurons that generated them. High-resolution neural activity maps will be critical for the discovery of new principles of neural coding and neural computation, and to test computational models of neural circuits. Extracellular electrophysiology is a neural recording method that has been developed to record from large populations of neurons, but well-known problems with signal attribution pose an existential threat to the viability of further system scaling, as analyses of network function become more sensitive to errors in attribution. A key insight is that blind-source separation algorithms such as Independent Component Analysis may ameliorate problems with signal attribution. These algorithms require recording signals at much finer spatial resolutions than existing probes have accomplished, which places demands on recording system bandwidth. We present several advances to technologies in neural recording systems, and a complete neural recording system designed to investigate the challenges of scaling electrophysiology to whole brain recording. We have developed close-packed microelectrode arrays with the highest density of recording sites yet achieved, for which we built our own data acquisition hardware, developed with a computational architecture specifically designed to scale to over several orders of magnitude. We also present results from validation experiments using colocalized patch clamp recording to obtain ground-truth activity data. This dataset provides immediate insight into the nature of electrophysiological signals and the interpretation of data collected from any electrophysiology recording system. This data is also essential in order to optimize probe development and data analysis algorithms which will one day enable whole-brain activity mapping.
by Jacob G. Bernstein.
Ph. D.
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Sayed, Herbawi Abdalrahman [Verfasser], and Oliver [Akademischer Betreuer] Paul. "High-density CMOS probes for large-scale extracellular neural recording." Freiburg : Universität, 2020. http://d-nb.info/1226657265/34.

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Silpa, Nagari. "NANOSTRUCTURED SENSORS FOR IN-VIVO NEUROCHEMICAL RECORDING." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/487.

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L-glutamate plays a vital role in central nervous system. It is a neurotransmitterassociated with several neurological disorders like Parkinson's disease, epilepsyand stroke. Continuous and fast monitoring of this neurotransmitter has become amajor concern for neuroscientists throughout the world. A simple, sensitive, and reliable L-glutamate microsensor with short responsetime has been developed using ceramic-based microelectrode arrays with platinum recording sites. The electrodes were modified by electrodeposition of Platinum black (Pt-black) to detect hydrogen peroxide (H2O2) which was produced by enzymatic reactions of glutamate oxidase immobilized on the electrode surface. Modification of Pt electrodes with Pt-black has been adoptedbecause the microscale roughness of Pt-black increases the effective surface area of the electrode and promotes efficiency of H2O2 electro-oxidation. The modified Pt recording sites were coated with m-phenylenediamine (mPD) and L-glutamate oxidase (L-GluOx). mPD acts as an barrier for extracellular interferents such as ascorbic acid and dopamine, thus increasing the selectivity of electrode for Glutamate (Glu). This modified microsensor was highly sensitive to H2O2(686.3??156.48 ??AmM-1cm-2), and Glutamate (492.2??112.67 ??AmM-1cm-2) at 700mV versus Ag/AgCl reference. Deposition of Pt nano-particles on recording sites enhanced the sensitivity to H2O2 by 2 times and the sensitivity to glutamate by 1.5 times.
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Nagari, Silpa. "Nano-structured sensors for in-vivo neurochemical recording." Lexington, Ky. : [University of Kentucky Libraries], 2007. http://hdl.handle.net/10225/735.

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Thesis (M.S.)--University of Kentucky, 2007.
Title from document title page (viewed on March 24, 2008). Document formatted into pages; contains: ix, 55 p. : ill. (some col.). Includes abstract and vita. Includes bibliographical references (p. 53-54).
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Watts, Joanne. "Regulation of extracellular arginine levels in the hippocampus in vivo." Thesis, University College London (University of London), 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404830.

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Kuykendal, Michelle Lea. "Closed-loop optimization of extracellular electrical stimulation for targeted neuronal activation." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52303.

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We have developed a high-throughput system of closed-loop electrical stimulation and optical recording that facilitates the rapid characterization of extracellular stimulus-evoked neural activity. The ability to selectively stimulate a neuron is a defining characteristic of next-generation neural prostheses. Greater stimulus control and differential activation of specific neuronal populations allows for prostheses that better mimic their biological counterparts. In our system, we deliver square current pulses using a microelectrode array; automated real-time image processing of high-speed digital video identifies the neuronal response; and a feedback controller alters the applied stimulus to achieve a targeted response. The system controller performs directed searches within the strength-duration (SD) stimulus parameter space to build probabilistic neuronal activation curves. An important feature of this closed-loop system is a reduction in the number of stimuli needed to derive the activation curves when compared to the more commonly used open-loop system: this allows the closed-loop system to spend more time probing stimulus regions of interest in the multi-parameter waveform space, facilitating high resolution analysis. The stimulus-evoked activation data were well-fit to a sigmoid model in both the stimulus strength (current) and duration (pulse width) slices through the waveform space. The 2-D analysis produced a set of probability isoclines corresponding to each neuron-electrode pairing, which were fit to the SD threshold model described by Lapique (1907). We show that stimulus selectivity within a given neuron pair is possible in the one-parameter search space by using multiple stimulation electrodes. Additionally, by applying simultaneous stimuli to adjacent electrodes, the interaction between stimuli alters the neuronal activation threshold. The interaction between simultaneous multi-electrode multi-parameter stimulus waveforms creates an opportunity for increased stimulus selectivity within a population. We demonstrated that closed-loop imaging and micro-stimulation technology enable the study of neuronal excitation across a large parameter space, which is requisite for controlling neuronal activation in next generation clinical solutions.
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Patel, Manoj Kumar. "An investigation into electrophysiological changes associated with myocardial ischaemia and reperfusion using extracellular and intracellular recording techniques." Thesis, Coventry University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308953.

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Books on the topic "In vivo extracellular recording"

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Sillitoe, Roy V., ed. Extracellular Recording Approaches. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7549-5.

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Coleman, William L., and R. Michael Burger. Extracellular Single-Unit Recording and Neuropharmacological Methods. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0003.

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Small biogenic changes in voltage such as action potentials in neurons can be monitored using extracellular single unit recording techniques. This technique allows for investigation of neuronal electrical activity in a manner that is not disruptive to the cell membrane, and individual neurons can be recorded from for extended periods of time. This chapter discusses the basic requirements for an extracellular recording setup, including different types of electrodes, apparatus for controlling electrode position and placement, recording equipment, signal output, data analysis, and the histological confirmation of recording sites usually required for in vivo recordings. A more advanced extracellular recording technique using piggy-back style multibarrel electrodes that allows for localized pharmacological manipulation of neuronal properties is described in detail. Strategies for successful signal isolation, troubleshooting advice such as noise reduction, and suggestions for general laboratory equipment are also discussed.
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Sillitoe, Roy. Extracellular Recording Approaches. Springer New York, 2017.

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Extracellular Recording Approaches. Humana, 2018.

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Ferster, David. Patch Clamp Recording in Vivo. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0002.

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Patch clamp recording in vivo allows an investigator to study intracellular membrane potentials in an intact organism (as opposed to cells in culture or acute brain slices). This technique is a reliable method of obtaining high-quality intracellular recordings from neurons, regardless of their size, in several parts of the mammalian brain. This chapter will describe the principles and practice of performing patch clamp experiments in vivo, beginning with a brief history of the technological developments that have made this technique possible.
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Stegeman, Dick F., and Michel J. A. M. Van Putten. Recording of neural signals, neural activation, and signal processing. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0005.

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This chapter discusses recording of electrophysiological signals in the context of clinical neurophysiology. We first discuss the interpretation of signals and differences between signals in terms of their underlying (electro)physiology. As a most prominent aspect of applied electrophysiology, the biophysics of volume conduction in extracellular space is discussed. We also present some basics of advanced procedures to analyse neurophysiological data. Aspects of electrical stimulation are treated too, including recent developments in diagnostic and therapeutic constant current stimulation. We finally discuss the background of hazardous electric currents and the safety of bioelectric equipment. Aspects that are relevant in the digitization and post-processing of data are briefly reviewed.
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Campagnola, Luke, and Paul Manis. Patch Clamp Recording in Brain Slices. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0001.

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Patch clamp recording in brain slices allows unparalleled access to neuronal membrane signals in a system that approximates the in-vivo neural substrate while affording greater control of experimental conditions. In this chapter we discuss the theory, methodology, and practical considerations of such experiments including the initial setup, techniques for preparing and handling viable brain slices, and patching and recording signals. A number of practical and technical issues faced by electrophysiologists are also considered, including maintaining slice viability, visualizing and identifying healthy cells, acquiring reliable patch seals, amplifier compensation features, hardware configuration, sources of electrical noise and table vibration, as well as basic data analysis issues and some troubleshooting tips.
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Frost, William, and Jian-young Wu. Voltage-Sensitive Dye Imaging. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199939800.003.0008.

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Voltage sensitive dye imaging (VSD) can be used to record neural activity in hundreds of locations in preparations ranging from mammalian cortex to invertebrate ganglia. Because fast VSDs respond to membrane potential changes with microsecond temporal resolution, these are better suited than calcium indicators for recording rapid neural signals. Here we describe methods for using a 464- element photodiode array and fast VSDs to record signals ranging from large scale network activity in brain slices and in vivo mammalian preparations, to action potentials in over 100 individual neurons in invertebrate ganglia.
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Vassanelli, Stefano. Implantable neural interfaces. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0050.

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Establishing direct communication with the brain through physical interfaces is a fundamental strategy to investigate brain function. Starting with the patch-clamp technique in the seventies, neuroscience has moved from detailed characterization of ionic channels to the analysis of single neurons and, more recently, microcircuits in brain neuronal networks. Development of new biohybrid probes with electrodes for recording and stimulating neurons in the living animal is a natural consequence of this trend. The recent introduction of optogenetic stimulation and advanced high-resolution large-scale electrical recording approaches demonstrates this need. Brain implants for real-time neurophysiology are also opening new avenues for neuroprosthetics to restore brain function after injury or in neurological disorders. This chapter provides an overview on existing and emergent neurophysiology technologies with particular focus on those intended to interface neuronal microcircuits in vivo. Chemical, electrical, and optogenetic-based interfaces are presented, with an analysis of advantages and disadvantages of the different technical approaches.
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Wassermann, Eric M. Direct current brain polarization. Edited by Charles M. Epstein, Eric M. Wassermann, and Ulf Ziemann. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780198568926.013.0007.

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The transcranial application of weak direct current (DC) to the brain is an effective neuromodulation technique that has had more than a century of experimental and therapeutic use. Focal DC brain polarization is now undergoing renewed interest, because of the wide acceptance of TMS as a research tool and candidate treatment for brain disorders. The effects of static electrical fields on cortical neurons in vivo have been known since the advent of intracellular recording. These effects are highly selective for neurons oriented longitudinally in the plane of the electric field. DC can enhance cognitive processes occurring in the treated area. The earliest clinical application of DC polarization was in the field of mood disorders. However, due to lack of temporal and spatial resolution, this technique does not appear particularly useful for exploring neurophysiological mechanisms.
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Book chapters on the topic "In vivo extracellular recording"

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Wu, Jie. "EEG, Evoked Potential, and Extracellular Single-Unit Recordings In Vivo." In Springer Protocols Handbooks, 93–104. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-576-3_6.

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Miao, Yanyan, Han Zhao, Jutao Chen, Ming Wang, and Longping Wen. "The Application of In Vivo Extracellular Recording Technique to Study the Biological Effects of Nanoparticles in Brain." In Neuromethods, 171–86. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7584-6_11.

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Ellenbroek, Bart, Alfonso Abizaid, Shimon Amir, Martina de Zwaan, Sarah Parylak, Pietro Cottone, Eric P. Zorrilla, et al. "Extracellular Recording." In Encyclopedia of Psychopharmacology, 522–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_290.

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Harvey, Victoria L., and Anthony H. Dickenson. "Extracellular Recording." In Encyclopedia of Psychopharmacology, 665–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-36172-2_290.

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Wakerley, Jon. "Extracellular Recording." In Essential Guide to Reading Biomedical Papers, 261–69. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118402184.ch29.

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Guo, Liang. "Extracellular Recording." In Principles of Electrical Neural Interfacing, 57–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77677-0_6.

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Harvey, Victoria L., and Anthony H. Dickenson. "Extracellular Recording." In Encyclopedia of Psychopharmacology, 1–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-27772-6_290-2.

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Tranquillo, Joseph V. "Extracellular Recording and Stimulation." In Quantitative Neurophysiology, 105–14. Cham: Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-01628-8_8.

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Guo, Liang. "Extracellular Recording of Propagating Action Potentials." In Principles of Electrical Neural Interfacing, 71–74. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77677-0_7.

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Plachez, Céline, and Elizabeth M. Powell. "Replicating the In Vivo Environment: Organotypic and Submerged Three-Dimensional Culture Methods." In Extracellular Matrix, 79–89. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2083-9_8.

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Conference papers on the topic "In vivo extracellular recording"

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Delgado-Restituto, Manuel, Alberto Rodriguez-Perez, Angela A. Darie, Angel Rodriguez-Vazquez, Cristina Soto-Sanchez, and Eduardo Fernandez-Jover. "In vivo measurements with a 64-channel extracellular neural recording integrated circuit." In 2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS). IEEE, 2014. http://dx.doi.org/10.1109/icecs.2014.7050028.

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Zhuang, Liujing, Bin Zhang, Qunchen Yuan, Chunlian Qin, Yuxiang Pan, Xinwei Wei, and Ping Wang. "Whole animal-based biosensor for odor detection using in vivo extracellular recording in rat lateral olfactory tract." In 2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). IEEE, 2019. http://dx.doi.org/10.1109/isoen.2019.8823402.

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Novak, D., J. Wild, T. Sieger, and R. Jech. "Identifying number of neurons in extracellular recording." In 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2009. http://dx.doi.org/10.1109/ner.2009.5109403.

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Anderson, D. J., K. D. Wise, and K. Najafi. "Micromachined silicon substrate electrodes for extracellular recording." In 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.5761722.

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Anderson, Wise, and Najafi. "Micromachined Silicon Substrate Electrodes For Extracellular Recording." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.593825.

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Ying Xu, Yong Yang, Bin Han, and Ping Luo. "Simulation and measurement of extracellular microelectrode array in-vivo." In 2010 8th World Congress on Intelligent Control and Automation (WCICA 2010). IEEE, 2010. http://dx.doi.org/10.1109/wcica.2010.5554951.

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Joye, Neil, Alexandre Schmid, and Yusuf Leblebici. "Extracellular recording system based on amplitude modulation for CMOS microelectrode arrays." In 2010 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2010. http://dx.doi.org/10.1109/biocas.2010.5709581.

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Yin Zhou and Zhi Yang. "A robust EC-PC spike detection method for extracellular neural recording." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6609756.

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Myers, F. B., O. J. Abilez, C. K. Zarins, and L. P. Lee. "Stimulation and artifact-free extracellular electrophysiological recording of cells in suspension." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091001.

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Niemiec, Martin J., and Martin Han. "A Simple Table-Top Technique for Multi-Signal Pseudo-Extracellular Recording." In 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2021. http://dx.doi.org/10.1109/ner49283.2021.9441208.

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Reports on the topic "In vivo extracellular recording"

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Han, Xiaoxing. Quantitative In Vivo Imaging of Breast Tumor Extracellular Matrix. Fort Belvoir, VA: Defense Technical Information Center, May 2010. http://dx.doi.org/10.21236/ada541944.

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Han, Xiaoxing. Quantitative In Vivo Imaging of Breast Tumor Extracellular Matrix. Fort Belvoir, VA: Defense Technical Information Center, May 2009. http://dx.doi.org/10.21236/ada549531.

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Han, Xiaoxing. Quantitative In Vivo Imaging of Breast Tumor Extracellular Matrix. Fort Belvoir, VA: Defense Technical Information Center, May 2011. http://dx.doi.org/10.21236/ada552848.

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Spiers, Donald, Arieh Gertler, Harold Johnson, and James Spain. An In Vitro and In Vivo Investigation of the Diverse Biological Activities of Bovine Placental Lactogen. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568087.bard.

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In order to understand the structure-function relationship of bovine placental lactogen (bPL) and initiate production of material for in vivo testing, 28 different bPL analogues were prepared by either truncation or site-directed mutagenesis. The effect of these mutations was determined by measuring binding capacity, ability to homodimerize extracellular domains (ECDs) of several lactogenic and somatogenic receptors, and by in vitro bioassays. Two analogues were prepared in large amounts for in vivo studies. These studies (a) identified the residues responsible for the somatogenic activity of bPL (K73, G133, T188) and for both lactogenic and somatogenic activity (N-terminus, K185, Y190); (b) allowed preparation of bPL analogues with selectively abolished or reduced somatogenic activity; and (c) provided a tool to understand the kinetic difference between lactogenic and somatogenic receptors. In vivo studies using rodent and dairy models showed that bovine growth hormone (bGH) is superior to bPL in stimulating growth and lactation. Likewise, bGH has greater somatogenic activity in different age groups and thermal environments. Initial studies of bPL analog T188 suggest that its lactogenic potential is superior to bGH. Effective experimental models have now been developed and tested for analysis of new bPL analogs.
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Barash, Itamar, J. Mina Bissell, Alexander Faerman, and Moshe Shani. Modification of Milk Composition via Transgenesis: The Role of the Extracellular Matrix in Regulating Transgene Expression. United States Department of Agriculture, July 1995. http://dx.doi.org/10.32747/1995.7570558.bard.

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Altering milk composition via transgenesis depends on three main factors. (1) The availability of an efficient regulatory sequences for targeting transgene(s) to the mammary gland; (2) a reliable in vitro model to test the expression of transgenes prior to their introduction to the animal genome; and (3) better understanding of the major factors which determine the rate of gene expression and protein synthesis. The current studies provide the necessary means and knowledge to alter milk protein composition via transgenesis. The following specific goals were achieved: a: Identifying regulatory regions in the b-lactoglobulin (BLG) gene and the cross-talk between elements which enabled us to construct an efficient vector for the expression of desirable cDNA's in the mammary gland. b: The establishment of a sheep mammary cell line that serves as a model for the analysis of endogenous and exogenous milk protein synthesis in the mammary gland of livestock. c: An accurate comparison of the potency of the 5' regulatory sequences from the BLG and whey acidic protein (WAP) promoters in directing the expression of human serum albumin (HSA) to the mammary gland in vitro and in vivo. In this study we have also shown that sequences within the coding region may determine a specific pattern of expression for the transgene, distinct from that of the native milk protein genes. d: Characterizing the dominant role of ECM in transgene expression in mammary epithelial cells. e: Further characterization of the BCE-1 enhancer element in the promoter of the b-casein gene as a binding site for the c/EBP-b and Stat5. Identifying its interaction with chromatin and its up regulation by inhibitors of histone deacetylation. f: Identifying a mechanism of translational control as a mediator for the synergistic effect of insulin and prolactin on protein synthesis in the mammary gland.
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