ArticleBrain stimulation
The sensitivity of ECG contamination to surgical implantation site in brain computer interfaces.
Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed, 82 citations in OpenAlex.
- Chronic adaptive deep brain stimulation versus conventional stimulation in Parkinson's disease: a blinded randomized feasibility trial.Nature medicine · 2024Trial
- Measuring motor intent for BCI control-A comparative analysis of signal quality of simultaneously recorded vECoG and scalp EEG.Journal of neural engineering · 2026Article
- Cortico-basal oscillations index naturalistic movements during deep brain stimulation.Brain : a journal of neurology · 2026Article
- Device-embedded accelerometry complements neural signals for tracking parkinsonian motor states.bioRxiv : the preprint server for biology · 2026Article
- Adaptive Deep Brain Stimulation for Parkinson's Disease: Navigating the Roadblocks to Clinical Implementation.Movement disorders : official journal of the Movement Disorder Society · 2026Review
- Double Fault: Artifacts Produced by Physical Activity Can Impact the Efficacy of Chronic Local Field Potential Recordings and Adaptive Stimulation.Movement disorders clinical practice · 2026Article
- Real-Time ECG Artifact Removal for Adaptive Deep Brain Stimulation: A Comparative Study.Sensors (Basel, Switzerland) · 2026Article
- Pallidal alpha activity is an electrophysiological biomarker of symptom severity in obsessive-compulsive disorder.Research square · 2026Article
- Chronic adaptive deep brain stimulation in Parkinson's disease: ADAPT-START findings and programming principles.NPJ Parkinson's disease · 2026Article
- Low-frequency activity in the subthalamic nucleus informs about the acute neuropsychiatric state in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Article
- Translational prospectives for deep brain stimulation and low-intensity focused ultrasound neuromodulation: IFCN Handbook chapter.Clinical neurophysiology practice · 2026Review
- Being Guided by Your Brain or by Your Heart? Challenges in Adaptive Deep Brain Stimulation.Movement disorders clinical practice · 2026Article
- Medtronic Percept™ recorded LFP pre-processing to remove noise and cardiac signals from neural recordings.Journal of neural engineering · 2025Review
- Cell-to-cell communication: from physical calling to remote emotional touching.Discover nano · 2025Article
- Challenges and opportunities of acquiring cortical recordings for chronic adaptive deep brain stimulation.Nature biomedical engineering · 2025Review
- Finely Tuned γ Tracks Medication Cycles in Parkinson's Disease: An Ambulatory Brain-Sense Study.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Gamma entrainment induced by deep brain stimulation as a biomarker for motor improvement with neuromodulation.Nature communications · 2025Article
- Could adaptive deep brain stimulation treat freezing of gait in Parkinson's disease?Journal of neurology · 2025Review
- A novel methodological approach to understanding the cortical and subcortical effects of aerobic exercise in Parkinson's disease.Frontiers in human neuroscience · 2025Article
Corrections and comments
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Authors and funding
23 authors at 9 institutions in 6 countries.
Funding
Abstract
backgroundBrain sensing devices are approved today for Parkinson's, essential tremor, and epilepsy therapies. Clinical decisions for implants are often influenced by the premise that patients will benefit from using sensing technology. However, artifacts, such as ECG contamination, can render such treatments unreliable. Therefore, clinicians need to understand how surgical decisions may affect artifact probability.
objectivesInvestigate neural signal contamination with ECG activity in sensing enabled neurostimulation systems, and in particular clinical choices such as implant location that impact signal fidelity.
methodsElectric field modeling and empirical signals from 85 patients were used to investigate the relationship between implant location and ECG contamination.
resultsThe impact on neural recordings depends on the difference between ECG signal and noise floor of the electrophysiological recording. Empirically, we demonstrate that severe ECG contamination was more than 3.2x higher in left-sided subclavicular implants (48.3%), when compared to right-sided implants (15.3%). Cranial implants did not show ECG contamination.
conclusionsGiven the relative frequency of corrupted neural signals, we conclude that implant location will impact the ability of brain sensing devices to be used for "closed-loop" algorithms. Clinical adjustments such as implant location can significantly affect signal integrity and need consideration.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.