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When the Ostrich-Algorithm Fails: Blanking Method Affects Spike Train Statistics.

Kevin Joseph1, Soheil Mottaghi1, Olaf Christ1

  • 1Section for Neuroelectronic Systems, Clinic for Neurosurgery, Medical Center- University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Frontiers in Neuroscience
|May 22, 2018
PubMed
Summary
This summary is machine-generated.

Blanking, a method to remove stimulation artifacts during neural recordings, can cause significant loss of actual neuronal spikes. Researchers found up to 27% of spikes can be lost, advising caution when quantifying spike rates.

Keywords:
blanking circuitelectrophysiologyspike detectionstimulationstimulation artifact

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Modern electroceuticals utilize high-frequency electrical stimulation for treating movement disorders.
  • Electrical recordings during stimulation face challenges due to artifacts, limiting signal usefulness.
  • Blanking, a technique to mitigate artifacts by grounding, is commonly employed.

Purpose of the Study:

  • To quantify the impact of the blanking method on neuronal spike counts and statistics.
  • To determine the relationship between blanking parameters and spike loss.
  • To assess the reliability of spike rate quantification when using blanking.

Main Methods:

  • Theoretical calculations of action potential loss based on blanking window width, stimulation frequency, and neuronal activity.
  • Experimental validation using high signal-to-noise ratio single-cell recordings in vitro and in vivo.
  • Analysis of spike train statistics to evaluate the effects of blanking.

Main Results:

  • Theoretical models predicted significant spike loss dependent on blanking parameters.
  • Experimental recordings confirmed substantial loss of actual spikes, up to 27% for clinically relevant parameters (130 Hz stimulation, 2 ms blanking).
  • The study quantifies the trade-off between artifact reduction and data integrity.

Conclusions:

  • The blanking method, while reducing artifacts, can lead to considerable underestimation of neuronal firing rates.
  • Caution is strongly advised when using blanking for spike rate quantification in electroceutical applications.
  • Further research into artifact reduction techniques preserving spike data is warranted.