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Dive into the research topics where Elizabeth S. Bucher is active.

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Featured researches published by Elizabeth S. Bucher.


Analytical Chemistry | 2011

Higher sensitivity dopamine measurements with faster-scan cyclic voltammetry.

Richard B. Keithley; Pavel Takmakov; Elizabeth S. Bucher; Anna M. Belle; Catarina Owesson-White; Jinwoo Park; R. Mark Wightman

Fast-scan cyclic voltammetry (FSCV) with carbon-fiber microelectrodes has been successfully used to detect catecholamine release in vivo. Generally, waveforms with anodic voltage limits of 1.0 or 1.3 V (vs Ag/AgCl) are used for detection. The 1.0 V excursion provides good temporal resolution but suffers from a lack of sensitivity. The 1.3 V excursion increases sensitivity but also increases response time, which can blur the detection of neurochemical events. Here, the scan rate was increased to improve the sensitivity of the 1.0 V excursion while maintaining the rapid temporal response. However, increasing scan rate increases both the desired faradaic current response and the already large charging current associated with the voltage sweep. Analog background subtraction was used to prevent the analog-to-digital converter from saturating from the high currents generated with increasing scan rate by neutralizing some of the charging current. In vitro results with the 1.0 V waveform showed approximately a 4-fold increase in signal-to-noise ratio with maintenance of the desired faster response time by increasing scan rate up to 2400 V/s. In vivo, stable stimulated release was detected with an approximate 4-fold increase in peak current. The scan rate of the 1.3 V waveform was also increased, but the signal was unstable with time in vitro and in vivo. Adapting the 1.3 V triangular wave into a sawhorse design prevented signal decay and increased the faradaic response. The use of the 1.3 V sawhorse waveform decreased the detection limit of dopamine with FSCV to 0.96 ± 0.08 nM in vitro and showed improved performance in vivo without affecting the neuronal environment. Electron microscopy showed dopamine sensitivity is in a quasi-steady state with carbon-fiber microelectrodes scanned to potentials above 1.0 V.


Analytical Chemistry | 2010

Characterization of Local pH Changes in Brain Using Fast-Scan Cyclic Voltammetry with Carbon Microelectrodes

Pavel Takmakov; Matthew K. Zachek; Richard B. Keithley; Elizabeth S. Bucher; Gregory S. McCarty; R. Mark Wightman

Transient local pH changes in the brain are important markers of neural activity that can be used to follow metabolic processes that underlie the biological basis of behavior, learning and memory. There are few methods that can measure pH fluctuations with sufficient time resolution in freely moving animals. Previously, fast-scan cyclic voltammetry at carbon-fiber microelectrodes was used for the measurement of such pH transients. However, the origin of the potential dependent current in the cyclic voltammograms for pH changes recorded in vivo was unclear. The current work explored the nature of these peaks and established the origin for some of them. A peak relating to the capacitive nature of the pH CV was identified. Adsorption of electrochemically inert species, such as aromatic amines and calcium could suppress this peak, and is the origin for inconsistencies regarding in vivo and in vitro data. Also, we identified an extra peak in the in vivo pH CV relating to the presence of 3,4-dihydroxyacetic acid (DOPAC) in the brain extracellular fluid. To evaluate the in vivo performance of the carbon-fiber sensor, carbon dioxide inhalation by an anesthetized rat was used to induce brain acidosis induced by hypercapnia. Hypercapnia is demonstrated to be a useful tool to induce robust in vivo pH changes, allowing confirmation of the pH signal observed with FSCV.


Reviews in Analytical Chemistry | 2015

Electrochemical Analysis of Neurotransmitters

Elizabeth S. Bucher; R. Mark Wightman

Chemical signaling through the release of neurotransmitters into the extracellular space is the primary means of communication between neurons. More than four decades ago, Ralph Adams and his colleagues realized the utility of electrochemical methods for the study of easily oxidizable neurotransmitters, such as dopamine, norepinephrine, and serotonin and their metabolites. Today, electrochemical techniques are frequently coupled to microelectrodes to enable spatially resolved recordings of rapid neurotransmitter dynamics in a variety of biological preparations spanning from single cells to the intact brain of behaving animals. In this review, we provide a basic overview of the principles underlying constant-potential amperometry and fast-scan cyclic voltammetry, the most commonly employed electrochemical techniques, and the general application of these methods to the study of neurotransmission. We thereafter discuss several recent developments in sensor design and experimental methodology that are challenging the current limitations defining the application of electrochemical methods to neurotransmitter measurements.


Analytical Chemistry | 2013

Flexible Software Platform for Fast-Scan Cyclic Voltammetry Data Acquisition and Analysis

Elizabeth S. Bucher; Kenneth Brooks; Matthew D. Verber; Richard B. Keithley; Catarina Owesson-White; Susan Carroll; Pavel Takmakov; Collin McKinney; R. Mark Wightman

Over the last several decades, fast-scan cyclic voltammetry (FSCV) has proved to be a valuable analytical tool for the real-time measurement of neurotransmitter dynamics in vitro and in vivo. Indeed, FSCV has found application in a wide variety of disciplines including electrochemistry, neurobiology, and behavioral psychology. The maturation of FSCV as an in vivo technique led users to pose increasingly complex questions that require a more sophisticated experimental design. To accommodate recent and future advances in FSCV application, our lab has developed High Definition Cyclic Voltammetry (HDCV). HDCV is an electrochemical software suite that includes data acquisition and analysis programs. The data collection program delivers greater experimental flexibility and better user feedback through live displays. It supports experiments involving multiple electrodes with customized waveforms. It is compatible with transistor-transistor logic-based systems that are used for monitoring animal behavior, and it enables simultaneous recording of electrochemical and electrophysiological data. HDCV analysis streamlines data processing with superior filtering options, seamlessly manages behavioral events, and integrates chemometric processing. Furthermore, analysis is capable of handling single files collected over extended periods of time, allowing the user to consider biological events on both subsecond and multiminute time scales. Here we describe and demonstrate the utility of HDCV for in vivo experiments.


Biological Psychiatry | 2013

Opposing Catecholamine Changes in the Bed Nucleus of the Stria Terminalis during Intracranial Self-Stimulation and its Extinction

Jinwoo Park; Elizabeth S. Bucher; Khristy Fontillas; Catarina Owesson-White; Jennifer L. Ariansen; Regina M. Carelli; R. Mark Wightman

BACKGROUND While studies suggest that both dopamine and norepinephrine neurotransmission support reinforcement learning, the role of dopamine has been emphasized. As a result, little is known about norepinephrine signaling during reward learning and extinction. Both dopamine and norepinephrine projections innervate distinct regions of the bed nucleus of the stria terminalis (BNST), a structure that mediates behavioral and autonomic responses to stress and anxiety. We investigated whether norepinephrine release in the ventral BNST (vBNST) and dopamine release in the dorsolateral BNST (dlBNT) correlate with reward learning during intracranial self-stimulation (ICSS). METHODS Using fast-scan cyclic voltammetry, norepinephrine concentration changes in the vBNST (n = 12 animals) during ICSS were compared with dopamine changes in the dlBNST (n = 7 animals) and nucleus accumbens (NAc) (n = 5 animals). Electrical stimulation was in the ventral tegmental area/substantia nigra region. RESULTS Whereas dopamine release was evoked by presentation of a cue predicting reward availability in both dlBNST and NAc, cue-evoked norepinephrine release did not occur in the vBNST. Release of both catecholamines was evoked by the electrical stimulation. Extracellular changes in norepinephrine were also studied during extinction of ICSS and compared with results obtained for dopamine. During extinction of ICSS, norepinephrine release in the vBNST occurred at the time where the stimulation was anticipated, whereas dopamine release transiently decreased. CONCLUSIONS The data demonstrate that norepinephrine release in the vBNST differs from dopamine release in the dlBNST and the NAc in that it signals the absence of reward rather than responding to reward predictive cues.


Pain | 2015

Norepinephrine and dopamine transmission in 2 limbic regions differentially respond to acute noxious stimulation.

Jinwoo Park; Elizabeth S. Bucher; Evgeny A. Budygin; R. Mark Wightman

Abstract Central dopamine and norepinephrine regulate behavioral and physiological responses during rewarding and aversive stimuli. Here, we investigated and compared norepinephrine and dopamine transmission in 2 limbic structures, the ventral bed nucleus of the stria terminalis and the nucleus accumbens shell of anesthetized rats, respectively, in response to acute tail pinch, a noxious stimulus. Norepinephrine release in the ventral bed nucleus of the stria terminalis responded monophasically, increasing at the time of the tail pinch and remaining elevated for a period after its cessation. In contrast, dopamine transmission in the nucleus accumbens shell displayed a heterogeneous and time-locked response to tail pinch. For most trials, there was a suppression of extracellular dopamine concentration throughout the duration of the stimuli. At the termination of the stimuli, however, extracellular dopamine either recovered back to or spiked above the initial baseline concentration. These signaling patterns were more clearly observed after administration of selective catecholamine autoreceptor and transporter inhibitors. The results suggest that the opposing responses of these catecholamines can provide integration of noxious inputs to influence behavioral outputs appropriate for survival such as escape or fighting.


Journal of Cerebral Blood Flow and Metabolism | 2014

Medullary norepinephrine neurons modulate local oxygen concentrations in the bed nucleus of the stria terminalis

Elizabeth S. Bucher; Megan E Fox; Laura Kim; Douglas C. Kirkpatrick; Nathan T. Rodeberg; Anna M. Belle; R. Mark Wightman

Neurovascular coupling is understood to be the underlying mechanism of functional hyperemia, but the actions of the neurotransmitters involved are not well characterized. Here we investigate the local role of the neurotransmitter norepinephrine in the ventral bed nucleus of the stria terminalis (vBNST) of the anesthetized rat by measuring O2, which is delivered during functional hyperemia. Extracellular changes in norepinephrine and O2 were simultaneously monitored using fast-scan cyclic voltammetry. Introduction of norepinephrine by electrical stimulation of the ventral noradrenergic bundle or by iontophoretic ejection induced an initial increase in O2 levels followed by a brief dip below baseline. Supporting the role of a hyperemic response, the O2 increases were absent in a brain slice containing the vBNST. Administration of selective pharmacological agents demonstrated that both phases of this response involve β-adrenoceptor activation, where the delayed decrease in O2 is sensitive to both α- and β-receptor subtypes. Selective lesioning of the locus coeruleus with the neurotoxin DSP-4 confirmed that these responses are caused by the noradrenergic cells originating in the nucleus of the solitary tract and A1 cell groups. Overall, these results support that non-coerulean norepinephrine release can mediate activity-induced O2 influx in a deep brain region.


ACS Chemical Neuroscience | 2016

Medullary Norepinephrine Projections Release Norepinephrine into the Contralateral Bed Nucleus of the Stria Terminalis

Megan E Fox; Elizabeth S. Bucher; Justin A. Johnson; R. Mark Wightman

Central norepinephrine signaling influences a wide range of behavioral and physiological processes, and the ventral bed nucleus of the stria terminalis (vBNST) receives some of the densest norepinephrine innervation in the brain. Previous work describes norepinephrine neurons as projecting primarily unilaterally; however, recent evidence for cross-hemispheric catecholamine signaling challenges this idea. Here, we use fast-scan cyclic voltammetry and retrograde tracing to characterize cross-hemispheric norepinephrine signaling in the vBNST. We delivered stimulations to noradrenergic pathways originating in the A1/A2 and locus coeruleus and found hemispherically equivalent norepinephrine release in the vBNST regardless of stimulated hemisphere. Unilateral retrograde tracing revealed that medullary, but not locus coeruleus norepinephrine neurons send cross-hemispheric projections to the vBNST. Further characterization with pharmacological lesions revealed that stimulations of the locus coeruleus and its axon bundles likely elicit vBNST norepinephrine release through indirect activation. These experiments are the first to demonstrate contralateral norepinephrine release and establish that medullary, but not coerulean neurons are responsible for norepinephrine release in the vBNST.


ACS Chemical Neuroscience | 2012

Optimizing the Temporal Resolution of Fast-Scan Cyclic Voltammetry

Brian M. Kile; Paul L. Walsh; Zoe A. McElligott; Elizabeth S. Bucher; Thomas S. Guillot; Ali Salahpour; Marc G. Caron; R. Mark Wightman


ACS Chemical Neuroscience | 2016

Dopamine Dynamics during Continuous Intracranial Self-Stimulation: Effect of Waveform on Fast-Scan Cyclic Voltammetry Data

Nathan T. Rodeberg; Justin A. Johnson; Elizabeth S. Bucher; R. Mark Wightman

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R. Mark Wightman

University of North Carolina at Chapel Hill

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Jinwoo Park

University of North Carolina at Chapel Hill

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Catarina Owesson-White

University of North Carolina at Chapel Hill

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Pavel Takmakov

University of North Carolina at Chapel Hill

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Richard B. Keithley

University of North Carolina at Chapel Hill

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Anna M. Belle

University of North Carolina at Chapel Hill

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Justin A. Johnson

University of North Carolina at Chapel Hill

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Megan E Fox

University of North Carolina at Chapel Hill

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Nathan T. Rodeberg

University of North Carolina at Chapel Hill

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Brian M. Kile

University of North Carolina at Chapel Hill

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