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Artifact propagation in subdural cortical electrostimulation: Characterization and modeling.
Jeffrey Lim1, Po T Wang1, Susan J Shaw2
1Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States.
Frontiers in Neuroscience
|October 31, 2022
Summary
Understanding electrical stimulation artifacts in electrocorticography (ECoG) is key for brain-computer interfaces. This study models artifact propagation, revealing temporal, spectral, and spatial patterns to improve signal processing and BCI design.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Signal Processing
Background:
- Electrocorticography (ECoG) via cortical stimulation is promising for artificial sensation in bidirectional brain-computer interfaces (BD-BCIs).
- Electrical stimulation artifacts can significantly interfere with neural signal detection and interpretation in ECoG systems.
- Mitigating these artifacts is crucial for the effective development and application of BD-BCIs.
Purpose of the Study:
- To comprehensively characterize and model the propagation of stimulation artifacts in subdural ECoG.
- To provide insights that can improve existing artifact suppression techniques or inspire novel mitigation strategies.
- To offer critical design specifications for future BD-BCI systems.
Main Methods:
- Collected and analyzed subdural ECoG data from four epilepsy subjects undergoing eloquent cortex mapping.
- Characterized artifact propagation in the time, frequency, and spatial domains.
- Modeled spatial artifact distribution using an electric dipole potential distribution.
Main Results:
- Artifacts exhibited phase-locking and ratcheting in the time domain across all subjects.
- Stimulation induced broadband power increases and super-harmonic power bursts in the frequency domain.
- Spatial artifact distribution followed an electric dipole model (median R²=0.80), with artifacts extending up to 38.34 mm from the stimulation site.
Conclusions:
- The study provides a detailed characterization of ECoG stimulation artifact propagation.
- Identified temporal, spectral, and spatial artifact properties offer avenues for improved artifact suppression.
- Findings contribute to a deeper understanding of cortical electrostimulation and inform BD-BCI system design.
