Understanding the different effects of fouling mechanisms on working and reference electrodes in fast-scan cyclic voltammetry for neurotransmitter detection
The distinct impacts of fouling mechanisms on a carbon fiber microelectrode and an Ag/AgCl reference electrode, affecting their performance in neurotransmitter detection via Fast-scan Cyclic Voltammetry.
Techniques for Measurement of Serotonin: Implications in Neuropsychiatric Disorders and Advances in Absolute Value Recording Methods
Relief of aversive states, including pain, is rewarding and associated with an increase in dopamine (DA) release in the mesolimbic reward circuit. Measurement of DA in the nucleus accumbens (NAc) is usually accomplished with microdialysis but this method does not allow determination of the temporal relationship to pain, and to its relief. In this study, we used isoflurane anesthetized rats to measure NAc DA release on a millisecond to second timescale using fast scan cyclic voltammetry (FSCV). Our approach was to standardize the depth of anesthesia by a reflexive pain response to noxious heat, the tail‐flick test. The depth of anesthesia was standardized to this biological response of approximately 5.0 sec latency. FSCV involves the application of a specific triangular waveform at a high scan rate, allowing for oxidation and reduction of dopamine detected by a specialized electrode previously implanted in the NAc shell. Application of noxious heat to the tail was accompanied by a decrease in the DA signal that peaked at the time of the tail‐flick. Following the tail‐flick, there was a rebound increase in DA signal that peaked after 2.9 s. The data show a time‐locked DA response to pain onset, and to pain offset, likely related to the negative and positive components of pain and its relief. Support or Funding Information Supported by DA034975 from the NIH
Neurochemical Concentration Prediction Using Deep Learning vs Principal Component Regression in Fast Scan Cyclic Voltammetry: A Comparison Study
Abstract 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.
In Vivo Ambient Serotonin Measurements at Carbon-Fiber Microelectrodes