ReviewJournal of neural engineering2024
Neural signal data collection and analysis of Percept™ PC BrainSense recordings for thalamic stimulation in epilepsy.
Review in Journal of neural engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 29 citations in OpenAlex.
- Suppression of pathological oscillations with transcranial focused ultrasound in Parkinson's disease.Nature communications · 2026Trial
- A guide to neuromodulation in drug-resistant epilepsy.Epileptic disorders : international epilepsy journal with videotape · 2026Review
- Article
- Real-Time ECG Artifact Removal for Adaptive Deep Brain Stimulation: A Comparative Study.Sensors (Basel, Switzerland) · 2026Article
- Local field potentials for target localization in centromedian deep brain stimulation for epilepsy.Frontiers in neuroscience · 2026Article
- Simultaneous MEG-LFP Recordings to Assess In Vivo Dystonic Neurophysiological Networks: A Feasibility Study.Brain sciences · 2025Article
- Rhythms in Longitudinal Thalamic Recordings are Linked to Seizure Risk.medRxiv : the preprint server for health sciences · 2025Article
- Long-term consistency of aperiodic and periodic physiomarkers in subthalamic local field potentials in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Article
- Invasive Neurostimulation for the Treatment of Epilepsy.Seminars in neurology · 2025Review
- Individualized non-invasive deep brain stimulation of the basal ganglia using transcranial ultrasound stimulation.Nature communications · 2025Article
- Seizure Detection and Lateralization Using Thalamic Deep Brain Stimulator Recordings.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2025Article
- Anterior nucleus of thalamus deep brain stimulation for medication refractory epilepsy modulates theta and low-frequency gamma activity: a case study.Therapeutic advances in neurological disorders · 2025Article
- Long-Term Ambulatory Intracranial EEG.Stereotactic and functional neurosurgery · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Deep brain stimulation (DBS) using Medtronic's Percept™ PC implantable pulse generator is FDA-approved for treating Parkinson's disease (PD), essential tremor, dystonia, obsessive compulsive disorder, and epilepsy. Percept™ PC enables simultaneous recording of neural signals from the same lead used for stimulation. Many Percept™ PC sensing features were built with PD patients in mind, but these features are potentially useful to refine therapies for many different disease processes. When starting our ongoing epilepsy research study, we found it difficult to find detailed descriptions about these features and have compiled information from multiple sources to understand it as a tool, particularly for use in patients other than those with PD. Here we provide a tutorial for scientists and physicians interested in using Percept™ PC's features and provide examples of how neural time series data is often represented and saved. We address characteristics of the recorded signals and discuss Percept™ PC hardware and software capabilities in data pre-processing, signal filtering, and DBS lead performance. We explain the power spectrum of the data and how it is shaped by the filter response of Percept™ PC as well as the aliasing of the stimulation due to digitally sampling the data. We present Percept™ PC's ability to extract biomarkers that may be used to optimize stimulation therapy. We show how differences in lead type affects noise characteristics of the implanted leads from seven epilepsy patients enrolled in our clinical trial. Percept™ PC has sufficient signal-to-noise ratio, sampling capabilities, and stimulus artifact rejection for neural activity recording. Limitations in sampling rate, potential artifacts during stimulation, and shortening of battery life when monitoring neural activity at home were observed. Despite these limitations, Percept™ PC demonstrates potential as a useful tool for recording neural activity in order to optimize stimulation therapies to personalize treatment.
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Identifiers
What Socratic holds
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 Socratic graph.