Key result
SVD method best balances ECG artifact cleaning and signal loss in deep brain stimulation recordings.
Why the study?
Local field potential recordings from deep brain stimulation electrodes are often contaminated with electrocardiographic artifacts that hinder detection of disease-specific electrical brain activity.
ECG suppression methods, particularly SVD, effectively clean ECG artifacts from DBS local field potential recordings, enabling analysis of disease-specific neural activity.
SVD may aid ECG artifact removal in DBS LFPs; leaves open effects on clinical interpretation or outcomes.
OBJECTIVE: Local field potential (LFP) recordings from deep brain stimulation (DBS) electrodes are often contaminated with electrocardiographic (ECG) artifacts that hinder the detection of disease-specific electrical brain activity. METHODS: PC system in nine Parkinson's disease patients with stimulation OFF ("OFF-DBS"; anode disconnected) and ON at 0 mA ("ON-DBS 0 mA"; anode connected). Findings were verified with simulated ECG-contaminated time series. RESULTS: ECG artifacts were present in 10 out of 18 ON-DBS 0 mA recordings. All ECG suppression methods drastically reduced artifact-induced beta band (13-35 Hz) power and at least partly recovered the beta peak and beta burst dynamics. Using external ECG recordings and lengthening artifact epoch length improved the performance of the suppression methods. Increasing epoch length, however, elevated the risk of flattening the beta peak and losing beta burst dynamics. CONCLUSIONS: The SVD method formed the preferred trade-off between artifact cleaning and signal loss, as long as its parameter settings are adequately chosen. SIGNIFICANCE: ECG suppression methods enable analysis of disease-specific neural activity from signals affected by ECG artifacts.
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Stam et al. (2022) studied Parkinson's disease (n=9). ECG suppression methods (including SVD) vs. Unsuppressed recordings was evaluated on Reduction of artifact-induced beta band power and recovery of beta peak and beta burst dynamics. The SVD method provided the preferred trade-off between ECG artifact cleaning and signal loss in local field potential recordings from deep brain stimulation electrodes.
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