ArticleFrontiers in neuroscience2021
Chronic Sensing of Subthalamic Local Field Potentials: Comparison of First and Second Generation Implantable Bidirectional Systems Within a Single Subject.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 46 citations in OpenAlex.
- Implant-Grade Neural Sensing with Artifact-Resilient Computational Intelligence Preserves Spatial Fidelity of HFO Biomarkers in Epilepsy.Research square · 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
- Real-Time ECG Artifact Removal for Adaptive Deep Brain Stimulation: A Comparative Study.Sensors (Basel, Switzerland) · 2026Article
- Beta-Band and Aperiodic Activity Across New and Chronic Subthalamic Nucleus Deep Brain Stimulation in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- A cortico-subthalamic circuit rapidly engages and releases inhibition of specific movements depending on the environmental context.PLoS biology · 2026Article
- Cortico-basal ganglia dynamics of global and selective response inhibition in humans.bioRxiv : the preprint server for biology · 2026Article
- Local field potential biomarkers for adaptive deep brain stimulation in Parkinson's disease: A scoping review.Surgical neurology international · 2026Review
- Thalamo-frontal functional connectivity patterns in Tourette Syndrome: Insights from combined intracranial DBS and EEG recordings.Molecular psychiatry · 2026Article
- Local Field Potentials in Movement Disorders: A Narrative Review.Stereotactic and functional neurosurgery · 2026Review
- Artificial Intelligence-Driven Neuromodulation in Neurodegenerative Disease: Precision in Chaos, Learning in Loss.Biomedicines · 2025Review
- Long-term consistency of aperiodic and periodic physiomarkers in subthalamic local field potentials in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Long-Term Stability of Spatial Distribution and Peak Dynamics of Subthalamic Beta Power in Parkinson's Disease Patients.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Precisely-timed outpatient recordings of subcortical local field potentials from wireless streaming-capable deep-brain stimulators: a method and toolbox.Journal of neuroscience methods · 2025Article
- Article
- Seizure Detection and Lateralization Using Thalamic Deep Brain Stimulator Recordings.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2025Article
- Deep Brain Stimulation (DBS) in Treatment-Resistant Depression (TRD): Hope and Concern.Advances in experimental medicine and biology · 2024Review
- Development and Evaluation of a Real-Time Phase-Triggered Stimulation Algorithm for the CorTec Brain Interchange.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024Article
- Advances in Deep Brain Stimulation: From Mechanisms to Applications.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Review
- Landscape and future directions of machine learning applications in closed-loop brain stimulation.NPJ digital medicine · 2023Review
- A wearable platform for closed-loop stimulation and recording of single-neuron and local field potential activity in freely moving humans.Nature neuroscience · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMany adaptative deep brain stimulation (DBS) paradigms rely upon the ability to sense neural signatures of specific clinical signs or symptoms in order to modulate therapeutic stimulation. In first-generation bidirectional neurostimulators, the ability to sense neural signals during active stimulation was often limited by artifact. Newer devices, with improved design specifications for sensing, have recently been developed and are now clinically available.
objectiveTo compare the sensing capabilities of the first-generation Medtronic PC + S and second-generation Percept PC neurostimulators within a single patient.
methodsA 42-year-old man with Parkinson's disease was initially implanted with left STN DBS leads connected to a PC + S implantable pulse generator. Four years later, the PC + S was replaced with the Percept PC. Local field potential (LFP) signals were recorded, both with stimulation OFF and ON, at multiple timepoints with each device and compared. Offline processing of time series data included artifact removal using digital filtering and template subtraction, before subsequent spectral analysis. With Percept PC, embedded processing of spectral power within a narrow frequency band was also utilized.
resultsIn the absence of stimulation, both devices demonstrated a peak in the beta range (approximately 20 Hz), which was stable throughout the 4-year period. Similar to previous reports, recordings with the PC + S during active stimulation demonstrated significant stimulation artifact, limiting the ability to recover meaningful LFP signal. In contrast, the Percept PC, using the same electrodes and stimulation settings, produced time series data during stimulation with spectral analysis revealing a peak in the beta-band. Online analysis by the Percept demonstrated a reduction in beta-band activity with increasing stimulation amplitude.
conclusionThis report highlights recent advances in implantable neurostimulator technology for DBS, demonstrating improvements in sensing capabilities during active stimulation between first- and second-generation devices. The ability to reliably sense during stimulation is an important step toward both the clinical implementation of adaptive algorithms and the further investigation into the neurophysiology underlying movement disorders.
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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.