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Related Experiment Videos

Filter based phase distortions in extracellular spikes.

Dorin Yael1, Izhar Bar-Gad1

  • 1The Leslie & Susan Goldschmied (Gonda) Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel.

Plos One
|March 31, 2017
PubMed
Summary
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Nonlinear phase shifts from filters distort extracellular recordings, altering neuronal spike waveforms and reducing signal-to-noise ratio (SNR). Zero-phase filtering or phase correction can restore waveforms and improve spike detection accuracy.

Area of Science:

  • Neuroscience
  • Signal Processing

Background:

  • Extracellular recordings are vital for in-vivo neuronal spike train extraction.
  • High-pass filtration is a critical pre-processing step to isolate neural activity.
  • Standard filters alter signal magnitude and phase, with phase effects often overlooked.

Purpose of the Study:

  • To investigate the impact of nonlinear phase shifts from filtration on extracellular neuronal signals.
  • To demonstrate how these distortions affect spike waveform shape and detectability.
  • To propose and validate methods for mitigating these signal distortions.

Main Methods:

  • Analysis of signal distortion caused by nonlinear phase shifts in common filters.
  • Comparison of spike waveforms before and after applying zero-phase filtering or phase correction.

Related Experiment Videos

  • Evaluation of spike detection rates and error metrics using corrected signals.

    • Main Results:

    • Nonlinear phase shifts severely distort spike waveforms, altering their shape and reducing signal-to-noise ratio (SNR).
    • Most current extracellular data processing is affected by these distortions.
    • Zero-phase filtering or phase correction successfully reproduces original waveforms and enhances spike detection accuracy.

    Conclusions:

    • Nonlinear phase filtering introduces significant distortions in extracellular neuronal recordings.
    • Implementing zero-phase filtering or phase correction is crucial for accurate spike waveform analysis.
    • These methods improve spike detection, reduce errors, and prevent misinterpretations in downstream analyses.