C-FSCV: Compressive Fast-Scan Cyclic Voltammetry for Brain Dopamine Recording

Area of Science:

• Neuroscience
• Analytical Chemistry
• Signal Processing

Background:

• Fast-scan cyclic voltammetry (FSCV) is a technique used to measure neurotransmitter dynamics.
• High-resolution dopamine level recording is crucial for understanding brain function.
• Existing FSCV methods can generate large datasets, posing storage and processing challenges.

Purpose of the Study:

• To develop and validate a novel compressive sensing framework for FSCV.
• To enable efficient recording and reconstruction of brain dopamine dynamics.
• To reduce data acquisition and processing burdens in FSCV.

Main Methods:

• Development of compressive FSCV (C-FSCV) framework.
• Compressive sampling of total current in FSCV scans.
• Reconstruction of block-sparse faradaic currents using block sparse Bayesian learning.
• Validation using rat dorsal striatum dopamine datasets (electrically evoked and amphetamine-induced).

Main Results:

• C-FSCV achieved high-fidelity reconstruction of dopamine dynamics and voltammograms (correlation coefficient, ).
• Compression ratios (CR) as high as ~5 were obtained.
• Accurate reconstruction of amphetamine-induced dopamine transients with a 96.4% true-positive detection rate.

Conclusions:

• Compressive FSCV (C-FSCV) is an effective method for compressing and reconstructing brain dopamine levels.
• The framework offers significant data reduction while maintaining high signal fidelity.
• C-FSCV shows promise for real-time monitoring and analysis of neurochemical signals.