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Dive into the research topics where I. Mitch Taylor is active.

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Featured researches published by I. Mitch Taylor.


Biosensors and Bioelectronics | 2017

Enhanced dopamine detection sensitivity by PEDOT/graphene oxide coating on in vivo carbon fiber electrodes

I. Mitch Taylor; Elaine M. Robbins; Kasey Catt; Patrick A. Cody; Cassandra L. Happe; Xinyan Tracy Cui

Dopamine (DA) is a monoamine neurotransmitter responsible for regulating a variety of vital life functions. In vivo detection of DA poses a challenge due to the low concentration and high speed of physiological signaling. Fast scan cyclic voltammetry at carbon fiber microelectrodes (CFEs) is an effective method to monitor real-time in vivo DA signaling, however the sensitivity is somewhat limited. Electrodeposition of poly(3,4-ethylene dioxythiophene) (PEDOT)/graphene oxide (GO) onto the CFE surface is shown to increase the sensitivity and lower the limit of detection for DA compared to bare CFEs. Thicker PEDOT/GO coatings demonstrate higher sensitivities for DA, but display the negative drawback of slow adsorption and electron transfer kinetics. The moderate thickness resulting from 25 s electrodeposition of PEDOT/GO produces the optimal electrode, exhibiting an 880% increase in sensitivity, a 50% decrease in limit of detection and minimally altered electrode kinetics. PEDOT/GO coated electrodes rapidly and robustly detect DA, both in solution and in the rat dorsal striatum. This increase in DA sensitivity is likely due to increasing the electrode surface area with a PEDOT/GO coating and improved adsorption of DAs oxidation product (DA-o-quinone). Increasing DA sensitivity without compromising electrode kinetics is expected to significantly improve our understanding of the DA function in vivo.


Journal of Neurochemistry | 2012

Domain-dependent effects of DAT inhibition in the rat dorsal striatum

I. Mitch Taylor; Andrea Jaquins-Gerstl; Susan R. Sesack; Adrian C. Michael

J. Neurochem. (2012) 122, 283–294.


ACS Chemical Neuroscience | 2013

Restricted Diffusion of Dopamine in the Rat Dorsal Striatum

I. Mitch Taylor; Alexandre I. Ilitchev; Adrian C. Michael

Recent evidence has shown that the dorsal striatum of the rat is arranged as a patchwork of domains that exhibit distinct dopamine kinetics and concentrations. This raises the pressing question of how these distinct domains are maintained, especially if dopamine is able to diffuse through the extracellular space. Diffusion between the domains would eliminate the concentration differences and, thereby, the domains themselves. The present study is a closer examination of dopamines ability to diffuse in the extracellular space. We used voltammetry to record dopamine overflow in dorsal striatum while stimulating the medial forebrain bundle over a range of stimulus currents and frequencies. We also examined the effects of drugs that modulated the dopamine release (raclopride and quinpirole) and uptake (nomifensine). Examining the details of the temporal features of the evoked profiles reveals no clear evidence for long-distance diffusion of dopamine between fast and slow domains, even though uptake inhibition by nomifensine clearly prolongs the time that dopamine resides in the extracellular space. Our observations support the conclusion that striatal tissue has the capacity to retain dopamine molecules, thereby limiting its tendency to diffuse through the extracellular space.


European Journal of Neuroscience | 2013

The dopamine patchwork of the rat nucleus accumbens core.

Zhan Shu; I. Mitch Taylor; Adrian C. Michael

The dopamine (DA) terminal field in the rat dorsal striatum is organized as a patchwork of domains that show distinct DA kinetics. The rate and short‐term plasticity of evoked DA release, the rate of DA clearance and the actions of several dopaminergic drugs are all domain‐dependent. The patchwork arises in part from local variations in the basal extracellular concentration of DA, which establishes an autoinhibitory tone in slow but not fast domains. The present study addressed the hypothesis that a domain patchwork might also exist in the nucleus accumbens core (NAcc), a DA terminal field that is deeply involved in reward processing and the mechanisms underlying substance abuse. DA recordings in the NAcc by fast‐scan voltammetry during electrical stimulation of the medial forebrain bundle confirmed that the NAcc contains a patchwork of fast and slow domains showing significantly different rates of evoked DA release and DA clearance. Moreover, the NAcc domains are substantially different from those in the dorsal striatum. There were no signs in the NAcc of short‐term plasticity of DA release during multiple consecutive stimuli, and no signs of a domain‐dependent autoinhibitory tone. Thus, the NAcc domains are distinct from each other and from the domains of the dorsal striatum.


Journal of Neurochemistry | 2015

Kinetic diversity of dopamine transmission in the dorsal striatum

I. Mitch Taylor; Kathryn M. Nesbitt; Seth H. Walters; Erika L. Varner; Zhan Shu; Kathleen M. Bartlow; Andrea Jaquins-Gerstl; Adrian C. Michael

Dopamine (DA), a highly significant neurotransmitter in the mammalian central nervous system, operates on multiple time scales to affect a diverse array of physiological functions. The significance of DA in human health is heightened by its role in a variety of pathologies. Voltammetric measurements of electrically evoked DA release have brought to light the existence of a patchwork of DA kinetic domains in the dorsal striatum (DS) of the rat. Thus, it becomes necessary to consider how these domains might be related to specific aspects of DAs functions. Responses evoked in the fast and slow domains are distinct in both amplitude and temporal profile. Herein, we report that responses evoked in fast domains can be further classified into four distinct types, types 1–4. The DS, therefore, exhibits a total of at least five distinct evoked responses (four fast types and one slow type). All five response types conform to kinetic models based entirely on first‐order rate expressions, which indicates that the heterogeneity among the response types arises from kinetic diversity within the DS terminal field. We report also that functionally distinct subregions of the DS express DA kinetic diversity in a selective manner. Thus, this study documents five response types, provides a thorough kinetic explanation for each of them, and confirms their differential association with functionally distinct subregions of this key DA terminal field. The dorsal striatum is composed of five significantly different dopamine domains (types 1–4 and slow, average ± SEM responses to medial forebrain bundle (MFB) stimulation are shown in the figure). Responses from each of these five domains exhibit significantly different ascending and descending kinetic profiles and return to a long lasting elevated dopamine state, termed the dopamine hang‐up. All features of these responses are modeled with high correlation using first‐order modeling as well as our recently published restricted diffusion model of evoked dopamine overflow. We also report that functionally distinct subregions of the dorsal striatum express selective dopamine kinetic diversity.


ACS Chemical Neuroscience | 2014

A novel restricted diffusion model of evoked dopamine.

Seth H. Walters; I. Mitch Taylor; Zhan Shu; Adrian C. Michael

In vivo fast-scan cyclic voltammetry provides high-fidelity recordings of electrically evoked dopamine release in the rat striatum. The evoked responses are suitable targets for numerical modeling because the frequency and duration of the stimulus are exactly known. Responses recorded in the dorsal and ventral striatum of the rat do not bear out the predictions of a numerical model that assumes the presence of a diffusion gap interposed between the recording electrode and nearby dopamine terminals. Recent findings, however, suggest that dopamine may be subject to restricted diffusion processes in brain extracellular space. A numerical model cast to account for restricted diffusion produces excellent agreement between simulated and observed responses recorded under a broad range of anatomical, stimulus, and pharmacological conditions. The numerical model requires four, and in some cases only three, adjustable parameters and produces meaningful kinetic parameter values.


European Journal of Neuroscience | 2014

Region- and domain-dependent action of nomifensine.

Zhan Shu; I. Mitch Taylor; Seth H. Walters; Adrian C. Michael

The dopamine (DA) terminal fields in the rat dorsal striatum (DS) and nucleus accumbens core (NAcc) are organized as patchworks of domains that exhibit distinct kinetics of DA release and clearance. The present study used fast‐scan cyclic voltammetry recordings of electrically evoked DA overflow to test the hypothesis that nomifensine might exhibit domain‐dependent actions within the NAcc, as we previously found to be the case within the DS. Within the NAcc, nomifensine preferentially enhanced evoked DA overflow in the slow domains compared with the fast domains. To seek a kinetic explanation for nomifensines selective actions, we quantified the apparent KM of DA clearance by numerically evaluating the derivative of the descending phase of the DA signal after the end of the stimulus. For comparison, we likewise quantified the apparent KM in the domains of the DS. As expected, because it is a competitive inhibitor, nomifensine significantly increased the apparent KM in both the fast and slow domains of both the NAcc and DS. However, our analysis also led to the novel finding that nomifensine preferentially increases the apparent KM in the NAcc compared with the DS; the apparent KM increased by ~500% in the NAcc and by ~200% in the DS.


Journal of Materials Chemistry B | 2017

Aptamer-functionalized neural recording electrodes for the direct measurement of cocaine in vivo

I. Mitch Taylor; Zhanhong Du; Emma T. Bigelow; James R. Eles; Anthony R. Horner; Kasey Catt; Stephen G. Weber; Brian G. Jamieson; X. Tracy Cui

Cocaine is a highly addictive psychostimulant that acts through competitive inhibition of the dopamine transporter. In order to fully understand the region specific neuropathology of cocaine abuse and addiction, it is unequivocally necessary to develop cocaine sensing technology capable of directly measuring real-time cocaine transient events local to different brain regions throughout the pharmacokinetic time course of exposure. We have developed an electrochemical aptamer-based in vivo cocaine sensor on a silicon based neural recording probe platform capable of directly measuring cocaine from discrete brain locations using square wave voltammetry (SWV). The sensitivity of the sensor for cocaine follows a modified exponential Langmuir model relationship and complete aptamer-target binding occurs in < 2 sec and unbinding in < 4 sec. The resulting temporal resolution is a 75X increase from traditional microdialysis sampling methods. When implanted in the rat dorsal striatum, the cocaine sensor exhibits stable SWV signal drift (modeled using a logarithmic exponential equation) and is capable of measuring real-time in vivo response to repeated local cocaine infusion as well as systemic IV cocaine injection. The in vivo sensor is capable of obtaining reproducible measurements over a period approaching 3 hours, after which signal amplitude significantly decreases likely due to tissue encapsulation. Finally, aptamer functionalized neural recording probes successfully detect spontaneous and evoked neural activity in the brain. This dual functionality makes the cocaine sensor a powerful tool capable of monitoring both biochemical and electrophysiological signals with high spatial and temporal resolution.


Trends in Analytical Chemistry | 2012

Advances made on many different fronts

Andrea Jaquins Gerstl; I. Mitch Taylor; Zhan Shu; Hong Zhang; Stephen G. Weber


Journal of Materials Chemistry B | 2017

Correction: Aptamer-functionalized neural recording electrodes for the direct measurement of cocaine in vivo

I. Mitch Taylor; Zhanhong Du; Emma T. Bigelow; James R. Eles; Anthony R. Horner; Kasey Catt; Stephen G. Weber; Brian G. Jamieson; X. Tracy Cui

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Zhan Shu

University of Pittsburgh

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Kasey Catt

University of Pittsburgh

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James R. Eles

University of Pittsburgh

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X. Tracy Cui

University of Pittsburgh

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