Characterizing Deep Brain Stimulation Dual Device Beat Frequency Artifacts

深部脑刺激双装置搏动频率伪影的特征分析

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Abstract

INTRODUCTION: Recording-enabled deep brain stimulation devices are used to treat individuals with a variety of neurological disorders, but current systems are only able to connect to a maximum of two brain leads. Off-label implantation of additional leads for unique clinical research questions requires bilateral implantable pulse generators (IPGs), however, slight mismatches in clock rates across IPGs produce mismatched stimulation frequencies. This mismatch creates high amplitude beat frequency artifacts (BFA) that occur at regular intervals and contaminate underlying neural signals, presenting unique challenges for future adaptive DBS (aDBS) algorithm development utilizing dual IPGs. METHOD: We quantified BFA intervals in local field potential (LFP) recordings from 26 patients implanted with two IPGs during both continuous (cDBS; n=21) and adaptive (aDBS; n=5) stimulation modes. RESULTS: BFAs occur in all patients at varying intervals and require both devices to be turned on. We found that BFAs result from mismatched stimulation frequencies, where smaller frequency differences result in longer intervals between BFAs. The range in interval length between artifacts was 112 seconds to 30 minutes across patients. Switching to adaptive DBS (aDBS) decreased this interval to 30 seconds in a single patient. CONCLUSION: In a dual-device scenario, BFAs should be considered in LFP analysis or future aDBS algorithm design through implementation of mitigation strategies such as onset times and selection of minimally affected recording channels.

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