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Artifact characterization and mitigation techniques during concurrent sensing and stimulation using bidirectional

Michaela E Alarie1, Nicole R Provenza2, Michelle Avendano-Ortega3

  • 1Brown University School of Engineering, Providence, RI, United States.

Frontiers in Human Neuroscience
|November 7, 2022
PubMed
Summary
This summary is machine-generated.

Researchers optimized deep brain stimulation (DBS) recordings by reducing stimulation artifacts. Adjusting recording settings improved signal clarity, enabling better interpretation of neural data for neurological and psychiatric disorders.

Keywords:
artifact characterizationbidirectional platformsdeep brain stimulationimplantable devicesneuromodulation

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Clinical Research

Background:

  • Bidirectional deep brain stimulation (DBS) allows extensive neural recordings in naturalistic settings.
  • High-amplitude stimulation in DBS generates artifacts that obscure neural signals, particularly in psychiatric disorders.
  • Accurate interpretation of neural data is crucial for understanding disease states and developing effective treatments.

Purpose of the Study:

  • To characterize artifact sources in recordings from a Medtronic Summit RC+S DBS platform.
  • To optimize recording configurations for improved signal-to-noise ratio (SNR) in DBS data.
  • To enhance the interpretability of neural signals affected by stimulation artifacts.

Main Methods:

  • Data collected from three subjects undergoing DBS for obsessive-compulsive disorder (OCD).
  • Stimulation amplitude was manipulated (2-5.3 mA) to assess artifact impact.
  • Sense blanking values and telemetry parameters were adjusted to mitigate artifacts.

Main Results:

  • High-amplitude stimulation caused slew overflow, expanding artifact bandwidth from 147-153 Hz to 140-180 Hz.
  • Increasing sense blank values reduced overflow by up to 30% and narrowed artifact bandwidth.
  • Modulating telemetry parameters allowed for predictable shifts in artifact frequencies, moving them out of the frequency range of interest.

Conclusions:

  • Artifact characterization methods enable better data interpretability from bidirectional DBS devices.
  • Optimized recording configurations improve SNR and reduce spectral distortion caused by stimulation.
  • Findings facilitate unconstrained biomarker exploration in neurological and psychiatric research using DBS data.