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The neurophysiology of alcohol use disorder (AUD) is complex, but a major contributor to addictive phenotypes is the tendency for drugs of abuse to increase tonic extracellular dopamine (DA) levels in the nucleus accumbens (NAc). Repeated exposure to substances of abuse such as ethanol results in the overstimulation of the mesolimbic pathway, causing an excessive release of DA from the ventral tegmental area (VTA) to target regions such as the NAc. This heightened DA signaling is associated with the reinforcing effects of substances, leading to a strong desire for continued use. Recent work has postulated that high frequency deep brain stimulation (DBS) of the ventral tegmental area may reduce dopamine transmission to the nucleus accumbens following acute drug of abuse exposure, thereby mitigating the drug’s addictive potential. We first demonstrate ethanol’s ability to decrease phasic DA release over time and to increase tonic extracellular DA concentrations in the nucleus accumbens. Next, we demonstrate the capability for high frequency VTA DBS to reverse this ethanol-associated surge in tonic DA concentrations in the nucleus accumbens to levels not significantly different from baseline. This study suggests a promising new avenue for investigating the mechanisms of alcohol use disorder.

Stereotactic systems have traditionally used Cartesian coordinate combined with linear algebraic mathematical models to navigate the brain. Previously, the development of a novel stereotactic system allowed for improved patient comfort, reduced size, and carried through a simplified interface for surgeons. The system was designed with a work envelope and trajectory range optimized for deep brain stimulation applications only. However, it could be applied in multiple realms of neurosurgery by spanning the entire brain. To this end, a system of translational and rotational adapters was developed to allow total brain navigation capabilities. Adapters were designed to fit onto a Skull Anchor Key of a stereotactic frame system to allow for rotation and translation of the work envelope. Mathematical formulas for the rotations and translations associated with each adapter were developed. Mechanical and image-guided accuracies were examined using a ground truth imaging phantom. The system’s clinical workflow and its ability to reliably and accurately be used in a surgical scenario were investigated using a cadaver head and computed tomography guidance. Eight adapters designed and 3D-printed allowed the work envelope to be expanded to the entire head. The mechanical error was 1.75 ± 0.09 mm (n= 20 targets), and the cadaver surgical targeting error was 1.18 ± 0.28 mm (n= 10 implantations). The novel application of conventional and geometric algebra in conjunction with hardware modifications significantly expands the work envelope of the stereotactic system to the entire cranial cavity. This approach greatly extends the clinical applications by the system.

With advances in our understanding regarding the neurochemical underpinnings of neurological and psychiatric diseases, there is an increased demand for advanced computational methods for neurochemical analysis. Despite having a variety of techniques for measuring tonic extracellular concentrations of neurotransmitters, including voltammetry, enzyme-based sensors, amperometry, and in vivo microdialysis, there is currently no means to resolve concentrations of structurally similar neurotransmitters from mixtures in the in vivo environment with high spatiotemporal resolution and limited tissue damage. Since a variety of research and clinical investigations involve brain regions containing electrochemically similar monoamines, such as dopamine and norepinephrine, developing a model to resolve the respective contributions of these neurotransmitters is of vital importance. Here we have developed a deep learning network, DiscrimNet, a convolutional autoencoder capable of accurately predicting individual tonic concentrations of dopamine, norepinephrine, and serotonin from both in vitro mixtures and the in vivo environment in anesthetized rats, measured using voltammetry. The architecture of DiscrimNet is described, and its ability to accurately predict in vitro and unseen in vivo concentrations is shown to vastly outperform a variety of shallow learning algorithms previously used for neurotransmitter discrimination. DiscrimNet is shown to generalize well to data captured from electrodes unseen during model training, eliminating the need to retrain the model for each new electrode. DiscrimNet is also shown to accurately predict the expected changes in dopamine and serotonin after cocaine and oxycodone administration in anesthetized rats in vivo. DiscrimNet therefore offers an exciting new method for real-time resolution of in vivo voltammetric signals into component neurotransmitters.

Despite recent advances in depression treatment, many patients still do not respond to serial conventional therapies and are considered “treatment resistant.” Deep brain stimulation (DBS) has therapeutic potential in this context. This comprehensive review of recent studies of DBS for depression in animal models identifies potential biomarkers for improving therapeutic efficacy and predictability of conventional DBS to aid future development of closed-loop control of DBS systems.

Here, we present the development of a novel voltammetric technique, N-shaped multiple cyclic square wave voltammetry (N-MCSWV) and its application in vivo. It allows quantitative measurements of tonic extracellular levels of serotonin in vivowith mitigated fouling effects. N-MCSWV enriches the electrochemical information by generating high dimensional voltammograms, which enables high sensitivity and selectivity against 5-hydroindoleacetic acid (5-HIAA), dopamine, 3,4-dihydroxyphenylacetic acid (DOPAC), histamine, ascorbic acid, norepinephrine, adenosine, and pH. Using N-MCSWV, in combination with PEDOT:Nafion-coated carbon fiber microelectrodes, a tonic serotonin concentration of 52 ± 5.8 nM (n= 20 rats, ±SEM) was determined in the substantia nigra pars reticulata of urethane-anesthetized rats. Pharmacological challenges with dopaminergic, noradrenergic, and serotonergic synaptic reuptake inhibitors supported the ability of N-MCSWV to selectively detect tonic serotonin levels in vivo. Overall, N-MCSWV is a novel voltammetric technique for analytical quantification of serotonin. It offers continuous monitoring of changes in tonic serotonin concentrations in the brain to further our understanding of the role of serotonin in normal behaviors and psychiatric disorders.

We previously reported on the use of fast cyclic square wave voltammetry (FCSWV) as a new voltammetric technique. Fourier transform electrochemical impedance spectroscopy (FTEIS) has recently been utilized to provide information that enables a detailed analytical description of an electrified interface. In this study, we report on attempts to combine FTEIS with FCSWV (FTEIS–FCSWV) and demonstrate the feasibility of FTEIS–FCSWV in the in vivodetection of neurotransmitters, thus giving a new type of electrochemical impedance information such as biofouling on the electrode surface. From FTEIS–FCSWV, three new equivalent circuit element voltammograms, consisting of charge-transfer resistance (Rct), solution-resistance (Rs), and double-layer capacitance (Cdl) voltammograms were constructed and investigated in the phasic changes in dopamine (DA) concentrations. As a result, all Rct, Rs, and Cdlvoltammograms showed different DA redox patterns and linear trends for the DA concentration (R2> 0.99). Furthermore, the Rctvoltammogram in FTEIS–FCSWV showed lower limit of detection (21.6 ± 15.8 nM) than FSCV (35.8 ± 17.4 nM). FTEIS–FCSWV also showed significantly lower prediction errors than FSCV in selectivity evaluations of unknown mixtures of catecholamines. Finally, Cdlfrom FTEIS–FCSWV showed a significant relationship with fouling effect on the electrode surface by showing decreased DA sensitivity in both flow injection analysis experiment (r= 0.986) and in vivoexperiments. Overall, this study demonstrates the feasibility of FTEIS–FCSWV, which could offer a new type of neurochemical spectroscopic information concerning electrochemical monitoring of neurotransmitters in the brain, and the ability to estimate the degree of sensitivity loss caused by biofouling on the electrode surface.

Five experiments investigated in rats the effects of increasing or decreasing plasma corticosterone levels on schedule-induced polydipsia and dopamine efflux in the nucleus accumbens. The results indicate that the acquisition of schedule-induced polydipsia could be decreased by adrenalectomy, blockade of corticosterone synthesis, or administration of corticosterone. Performance of established schedule-induced polydipsia was also decreased by adrenalectomy. The effects of corticosterone administration on established schedule-induced polydipsia depended on the level of performance. High levels of drinking were enhanced by a high dose of corticosterone, whereas low rates of drinking were increased by a low dose. Similar injections of corticosterone also significantly increased dopamine efflux. The relative involvement of pituitary-adrenal activity and dopamine neurotransmission in the nucleus accumbens in the acquisition and performance of SIP is discussed and related to contemporary hypotheses of schedule-induced behavior.

Although N-shaped fast scan cyclic voltammetry (N-FSCV) is well-established as an electroanalytical method to measure extracellular serotonin concentrations in vivo, it is in need of improvement in both sensitivity and selectivity. Based on our previous studies using fast cyclic square-wave voltammetry (FCSWV) for in vivodopamine measurements, we have modified this technique to optimize the detection of serotonin in vivo. A series of large amplitude square-shaped potentials was superimposed onto an N-shaped waveform to provide cycling through multiple redox reactions within the N-shaped waveform to enhance the sensitivity and selectivity to serotonin measurement when combined with a two-dimensional voltammogram. N-Shaped fast cyclic square-wave voltammetry (N-FCSWV) showed significantly higher sensitivity to serotonin compared to conventional N-FSCV. In addition, N-FCSWV showed better performance than conventional N-shaped FSCV in differentiating serotonin from its major interferents, dopamine and 5-hydroxyindoleascetic acid (5-HIAA). It was also confirmed that the large amplitude of the square waveform did not influence local neuronal activity, and it could monitor electrical stimulation evoked phasic release of serotonin in the rat substantia nigra pars reticulata (SNr) before and after systemic injection of escitalopram (ESCIT, 10 mg/kg i.p.), a serotonin selective reuptake inhibitor.

Although fast-scan cyclic voltammetry (FSCV) has been widely used for in vivo neurochemical detection, the sensitivity and selectivity of the technique can be further improved. In this study, we develop fast cyclic square-wave voltammetry (FCSWV) as a novel voltammetric technique that combines large-amplitude cyclic square-wave voltammetry (CSWV) with background subtraction. A large-amplitude, square-shaped potential was applied to induce cycling through multiple redox reactions within a square pulse to increase sensitivity and selectivity when combined with a two-dimensional voltammogram. As a result, FCSWV was significantly more sensitive than FSCV (n= 5 electrodes, two-way ANOVA, p= 0.0002). In addition, FCSWV could differentiate dopamine from other catecholamines (e.g., epinephrine and norepinephrine) and serotonin better than conventional FSCV. With the confirmation that FCSWV did not influence local neuronal activity, despite the large amplitude of the square waveform, it could monitor electrically induced phasic changes in dopamine release in rat striatum before and after injecting nomifensine, a dopamine reuptake inhibitor.

Fast-scan cyclic voltammetry (FSCV) is an effective method for investigating electro-active neurochemical species. In recent years, FSCV has been used to measure electro-active neurotransmitters in a variety of neuroscience studies. We previously reported on the use of paired-pulse voltammetry (PPV) that enables FSCV to differentiate various analytes and minimize confounding factors by taking advantage of the adsorption characteristics of the analyte on carbon fiber microelectrodes. In spite of a number of studies regarding adsorption/desorption characteristics of neurotransmitters, the difference in adsorption/desorption properties among neurotransmitters has yet to be fully explored. To calculate adsorption/desorption constants for neurotransmitters, we propose the use of multi-waveform FSCV (M-FSCV), which consists of ten triangular waveforms in a single scan. Within the multiple waveforms, the voltammetric response of dopamine decayed exponentially because of the decreased adsorption time period. The decay pattern was mathematically described using adsorption/desorption characteristics and two additional initial points: an exponential decay constant (K) and an initial quantity (A), which were extracted from the decay equation. Using this method, we were able to quantify the decay constant (K-map) and an initial quantity (A-map) color plot in addition to a conventional pseudo color plot. M-FSCV was evaluated with two biogenic amine groups (catecholamines and indolamines) to characterize their inherent adsorption/desorption constants. As a result, the A-map showed a high correlation with concentration and the K-map for each group to be significantly differentiated. These results demonstrate that M-FSCV has the potential to be a useful technique for acquiring additional adsorption/desorption information regarding neurotransmitters.

AbstractThe present paper reviews foundational and contemporary theories of motivated behaviors and the growing body of evidence that they require specific functional interactions within the basal ganglia. Such evidence suggests that unconditioned responses (UR), conditioned responses (CR), goal-directed actions and stimulus-response (S-R) habits are selected in the basal ganglia. Such selection depends on activation of striatal neurons by cortical and subcortical neurons encoding unconditioned stimuli (US), conditioned stimuli (CS), goals and neutral stimuli (S). These neurons project respectively to the medial nucleus accumbens (NAc) shell/olfactory tubercle, NAc core/lateral olfactory tubercle, dorsolateral striatum and dorsomedial striatum. The strength of these synapses is altered when the levels of extracellular dopamine in the basal ganglia undergo phasic increases or decreases, which signal outcomes that are, respectively, better or worse than expected. In addition, dopamine release in response to salient USs and to CSs with incentive salience increases the signal-to-noise ratio of corticostriatal neurotransmission, thus ‘energizing’ the performance of selected actions. Different actions can be selected in the striatum because the striatal neurons of the so-called direct and indirect pathways can respectively initiate and end actions through pallidum/nigral-thalamic projections to premotor and motor areas of the cortex. According to this view, the basal ganglia is thought to play a role in the action-selection processes needed for the expression of both declarative and procedural memories, but the memories of the contexts, predictive stimuli or neutral stimuli associated with free rewards or with an action’s outcomes are stored elsewhere.

Essential tremor is often markedly reduced during deep brain stimulation simply by implanting the stimulating electrode before activating neurostimulation. Referred to as the microthalamotomy effect, the mechanisms of this unexpected consequence are thought to be related to microlesioning targeted brain tissue, that is, a microscopic version of tissue ablation in thalamotomy. An alternate possibility is that implanting the electrode induces immediate neurochemical release. Herein, we report the experiment performing with real-time fast-scan cyclic voltammetry to quantify neurotransmitter concentrations in human subjects with essential tremor during deep brain stimulation. The results show that the microthalamotomy effect is accompanied by local neurochemical changes, including adenosine release.

Deep brain stimulation (DBS) provides therapeutic benefit for several neuropathologies, including Parkinson disease (PD), epilepsy, chronic pain, and depression. Despite well-established clinical efficacy, the mechanism of DBS remains poorly understood. In this review, we begin by summarizing the current understanding of the DBS mechanism. Using this knowledge as a framework, we then explore a specific hypothesis regarding DBS of the subthalamic nucleus (STN) for the treatment of PD. This hypothesis states that therapeutic benefit is provided, at least in part, by activation of surviving nigrostriatal dopaminergic neurons, subsequent striatal dopamine release, and resumption of striatal target cell control by dopamine. While highly controversial, we present preliminary data that are consistent with specific predications testing this hypothesis. We additionally propose that developing new technologies (e.g., human electrometer and closed-loop smart devices) for monitoring dopaminergic neurotransmission during STN DBS will further advance this treatment approach.

This study determined the role of ventral tegmental area acetylcholine and glutamate receptors in modulating laterodorsal tegmentum stimulation-evoked dopamine efflux in the nucleus accumbens. Rapid changes in dopamine oxidation current were measured at carbon fiber microelectrodes using fixed potential amperometry in urethane anesthetized male mice. Intraventral tegmental area infusions of the muscarinic acetylcholine receptor antagonist scopolamine, the nicotinic acetylcholine receptor antagonist mecamylamine, or the ionotropic glutamate receptor antagonist kynurenate significantly diminished dopamine efflux in the nucleus accumbens evoked by brief electrical stimulation of the laterodorsal tegmentum. These findings suggest that acetylcholine and ionotropic glutamate receptors influence rapid dopaminergic activity and thus the communication of behaviorally relevant information from ventral tegmental area dopamine cells to forebrain areas.

The present study investigated the regulation of substantia nigra pars compacta (SNc) dopamine neuronal activity by pedunculopontine (PPT) cholinergic neurons. Changes in dopamine efflux following chemical activation or blockade of muscarinic acetylcholine receptors in the PPT were measured at stearate-carbon paste electrodes in the striatum of urethane (1.5 gkg) anaesthetized male rats using in vivochronoamperometry (30 s sampling rate). Intra-PPT infusions of a mixed muscarinicnicotinic (carbachol 8 μgμl) or M24-selective muscarinic (oxotremorine 0.5 μgμl) receptor agonist attenuated striatal dopamine efflux, whereas a non-selective (scopolamine 100 μgμl) or M24-selective (methoctramine 50 μgμl) muscarinic receptor antagonist enhanced striatal dopamine efflux. These results suggest that M24 muscarinic receptors in the mesopontine tonically influence SNc basal dopamine cell activity and striatal dopamine release.

The effects of electrical stimulation of the ventral subiculum/CA1 region of the hippocampus on changes in dopamine oxidation current (corresponding to dopamine efflux) in the nucleus accumbens were examined using in vivochronoamperometry with stearate‐graphite paste electrodes in urethane‐anaesthetized rats. Burst‐patterned monophasic pulses (10–100 Hz/burst delivered at 0.84 Hz) evoked a three‐component change in dopamine efflux in the nucleus accumbens with an initial transient increase in the dopamine signal above baseline, followed by an immediate decrease below baseline, and thereafter by a prolonged increase in the dopamine signal above baseline. 6–Hydroxydopamine lesions of the mesoaccumbens dopamine pathway or transection of the fimbria‐fornix blocked all of the evoked changes in the dopamine signal. Both the first and third components of enhanced dopamine efflux were blocked by microinfusion into the nucleus accumbens of the ionotropic glutamate receptor antagonists (±)‐2‐amino‐5‐phosphonopentanoic acid, 6,7‐dinitroquinoxaline‐2,3‐dione and kynurenate. Burst stimulation‐evoked decreases in the dopamine signal were abolished following microinfusions into the nucleus accumbens of the metabotropic glutamate receptor antagonist (+)‐α‐methyl‐4‐carboxyphenylglycine. These results suggest that ventral subiculum/CA1 glutamatergic inputs to the nucleus accumbens may presynaptically modulate dopamine efflux by synaptic activation of both ionotropic and metabotropic glutamate receptors in the nucleus accumbens. These glutamate‐dopamine interactions may constitute part of the mechanisms by which hippocampal signals are integrated through selective modulation of dopamine release in the nucleus accumbens in both physiological and pathological conditions.