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Updated: Jul 10, 2026

Voltage Biasing, Cyclic Voltammetry, & Electrical Impedance Spectroscopy for Neural Interfaces
Published on: February 24, 2012
Improved circuitry and post-processing for interleaved fast-scan cyclic voltammetry and electrophysiology
Ashwin K Avula1, Abhinav Goyal2,3,4, Aaron E Rusheen2,3,4
1Division of Engineering, Mayo Clinic, Rochester, MN, United States.
This study introduces a novel method to reduce artifacts in brain recordings, enabling faster and more accurate analysis of neural activity and neurochemical release. The new technique significantly improves data acquisition speed and integrity.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Signal Processing
Background:
- Combined electrophysiology and electrochemistry using carbon fiber microelectrodes (CFMs) allow extensive analysis of neural activity and neurochemical release.
- Analog CMOS switches used in these systems introduce charge injection artifacts, delaying signal recovery and attenuating important low-frequency local-field potential (LFP) data.
Purpose of the Study:
- To develop a method that overcomes charge injection artifacts in interleaved electrophysiology and electrochemistry recordings.
- To preserve valuable low-frequency LFP bands while improving signal recovery speed.
Main Methods:
- Integrated a voltage follower operational amplifier before the CMOS switch to increase current flow and dissipate injected charge.
- Implemented single-term exponential modeling in post-processing to characterize and subtract remaining transient voltage artifacts.
Main Results:
- Achieved a 16.98% decrease in electrophysiology acquisition delay with the hardware addition.
- Reduced electrophysiology data recovery time to 3.26 ± 0.22 ms, a 60% improvement over previous methods.
- Minimized attenuation of LFP signals, preserving network-level insights.
Conclusions:
- The proposed hardware and software solution effectively mitigates charge injection artifacts in coupled electrophysiology and electrochemistry recordings.
- This advancement enables higher scan rates for combined measurements, enhancing the comprehensive analysis of neural activity and neurochemical release.
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