Review of signal distortion through metal microelectrode recording circuits and filters
Section snippets
Equivalent circuit model
Fig. 1 illustrates a modified version of a commonly cited equivalent circuit model of a metal microelectrode recording in the brain (Robinson, 1968). The effective electrode impedance () is the sum of impedances due to the resistance of the electrolyte (Rs), the resistance of the electrode metal (Rm) and, most importantly, the resistance and capacitance at the double layer that forms at the electrode/electrolyte interface at the uninsulated electrode tip (Re and Ce). The effective amplifier
Determination of amplifier input impedance
To verify that the equivalent circuit model applies to microelectrode recordings, we measured the input impedance for two head-stages, one with lower and one with higher input impedance. To do this we measured Vrec with Vsig consisting of sine wave voltages (0.5 Hz–9 kHz) applied to the head-stage across different metallic resistances. Fig. 2 plots measurements made with the lower input impedance head-stage through a range of metallic resistors. The variation of gain (Vrec/Vsig) through the LFP
Summary
We have shown that signals recorded with tungsten microelectrodes and an acquisition system commonly used in neurophysiology can be distorted substantially from the actual signals at the electrode tip. This distortion consists of frequency-dependent phase shifts and amplitude attenuation. The system filters imposed noticeable phase shifts even within their passbands. The observed phase shifts were dependent on the exact specifications of the preamplifier selected for use in a given system. When
Disclosure statement
The authors affiliated with Vanderbilt University have no competing interests. The authors associated with Plexon have competing interests.
Acknowledgements
We would like to thank Justin Crouse at FHC for valuable discussions, Bruce Williams for construction of and assistance with the design of the electrode testing apparatus, and AB Bonds for valuable discussions and comments regarding the manuscript.
Grants: This work was supported by RO1-EY08890, Robin and Richard Patton through the E. Bronson Ingram Chair of Neuroscience and center grants P30-EY08126 and P30-HD015052.
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Present address: Cyberkinetics, Foxborough, MA, USA.