Smart Neuromodulation System
The improvement of Deep Brain Stimulation (DBS) has been used for the treatment of the neuro-degenerative disease and neuropsychiatry disease. After DBS surgery, the neurologist occasionally adjusts stimulation parameters to obtain the best therapeutic response in the patient with trial-and-error process.
In order to improve this framework, recently, closed-loop DBS has been suggested with monitoring electrophysiological and neurochemical responses to the stimulation. Our goals in this study are to develop advanced fast-scan cyclic voltammetry (FSCV) measuring neurotransmitters in the brain and to investigate optimized feedback techniques by applying it to animal model of Parkinson's disease.
What is Fast Scan Cyclic Volammetry (FSCV) ?
Fast-scan cyclic voltammetry (FSCV) is widely used in neuroscience applications to measure the neurotransmitter's concentration. By using simple chemical reaction, oxidation and reduction, it is able to detect certain chemical substances change. As the name implies, the potential is swept from an initial potential to a final potential and then returned to the initial potential, usually at the same sweep rate (Figure 1a, b).
The current measured continuously during the sweep is reported against the applied potential (Figure 1c, blue). If a kind of reactive chemical substrate is added in some way, the current is changed at particular voltage point(Figure 1c, red). Hence, the technique provides voltammetric information (current vs. potential) about the substance being detected.
Our goal is to develop techniques that will increase a sensitivity, selectivity, and signal-to-noise ratio of neurotransmitter detection by improving the data processing method and using advanced waveform development. We also aim to provide a tool that can be used in a closed loop deep-brain stimulation and bio-electronics medicine.
- Monitoring absolute concentration of Neurotransmitters
- Development of advanced FSCV technique (Fast Square waveform voltammetry, Charge balanced voltammetry)
- Signal Acquisition System and Software development
- Post-processing technique