Signal recovery from stimulation artifacts in intracranial recordings with dictionary learning
D J Caldwell1, J A Cronin, R P N Rao
1Department of Bioengineering, University of Washington, Seattle, WA, United States of America. Medical Scientist Training Program, University of Washington, Seattle, WA, United States of America. Center for Neurotechnology, Seattle, WA, United States of America. University of Washington Institute for Neuroengineering, Seattle, WA, United States of America. Author to whom any correspondence should be addressed.
This study presents a new algorithm to remove electrical artifacts during brain stimulation, enabling clearer recordings of neural activity for research and clinical applications.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Signal Processing
Background:
- Electrical brain stimulation is crucial for diagnostics and therapeutics.
- Concurrent stimulation and recording generate significant electrical artifacts that obscure neural signals.
Purpose of the Study:
- To develop a robust, automated method for recovering neural activity during concurrent electrical brain stimulation.
- To enable artifact-free signal acquisition across multiple electrodes without manual tuning.
Main Methods:
- Developed an unsupervised clustering algorithm to detect and template stimulation artifacts.
- Implemented an artifact template subtraction method for signal recovery.
- Validated the approach on invasive human electrophysiological recordings (ECoG and DBS).
Main Results:
- Successfully recovered physiologically interpretable neural signals from ECoG and DBS recordings.
- Demonstrated artifact removal during trains of stimulation pulses.
- Showcased the ability to compare cortical responses with and without concurrent stimulation.
Conclusions:
- The developed method effectively removes electrical artifacts, allowing for clearer neural signal recovery.
- This advancement facilitates future research and clinical applications in neural engineering requiring simultaneous stimulation and recording.
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