ArticleFrontiers in human neuroscience2021
Analysis-rcs-data: Open-Source Toolbox for the Ingestion, Time-Alignment, and Visualization of Sense and Stimulation Data From the Medtronic Summit RC+S System.
Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Adaptive deep brain stimulation for dynamic gait control in Parkinson's disease: a randomized feasibility trial.Nature medicine · 2026Trial
- Human intracranial signal stability tracks anatomical accuracy after electrode reimplantation.Journal of neural engineering · 2026Trial
- Implant-Grade Neural Sensing with Artifact-Resilient Computational Intelligence Preserves Spatial Fidelity of HFO Biomarkers in Epilepsy.Research square · 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
- Cortico-pallidal beta dynamics underlie impaired turning in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Multitarget brain implants enable generalized decoding of Parkinson's disease symptoms from chronic home recordings.Research square · 2026Article
- Common Electrophysiology Biomarkers Collected at Home Robustly Track Depression Recovery With Deep Brain Stimulation.medRxiv : the preprint server for health sciences · 2026Article
- At-home movement state classification using totally implantable cortical-basal ganglia neural interface.Science advances · 2026Article
- An Improved Beta Burst Extraction for Chip-Based Deep Brain Stimulation With Real-Time Model Updating.IEEE open journal of engineering in medicine and biology · 2026Article
- Low-Frequency Adaptive Deep Brain Stimulation for Parkinson's Disease.medRxiv : the preprint server for health sciences · 2025Article
- Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system development.Journal of neural engineering · 2025Review
- Building and Sustaining Open-Source Medical Device Projects.IEEE transactions on bio-medical engineering · 2025Review
- High Beta Power in the Ventrolateral Prefrontal Cortex Indexes Human Approach Behavior: A Case Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Artificial Intelligence-Driven Neuromodulation in Neurodegenerative Disease: Precision in Chaos, Learning in Loss.Biomedicines · 2025Review
- Adaptive deep brain stimulation timed to gait phase improves walking in Parkinson's disease.medRxiv : the preprint server for health sciences · 2025Article
- Modeling and optimizing deep brain stimulation to enhance gait in Parkinson's disease: personalized treatment with neurophysiological insights.NPJ Parkinson's disease · 2025Article
- Multi-day recordings and adaptive stimulation protocols for in-home collection of deep brain stimulation intracranial recordings.Journal of neuroscience methods · 2025Article
- Basal ganglia theta power indexes trait anxiety in people with Parkinson's disease.Brain : a journal of neurology · 2025Article
- Reconstructing signal during brain stimulation with Stim-BERT: a self-supervised learning model trained on millions of iEEG files.Frontiers in artificial intelligence · 2025Article
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8 authors.
Funding
Abstract
Closed-loop neurostimulation is a promising therapy being tested and clinically implemented in a growing number of neurological and psychiatric indications. This therapy is enabled by chronically implanted, bidirectional devices including the Medtronic Summit RC+S system. In order to successfully optimize therapy for patients implanted with these devices, analyses must be conducted offline on the recorded neural data, in order to inform optimal sense and stimulation parameters. The file format, volume, and complexity of raw data from these devices necessitate conversion, parsing, and time reconstruction ahead of time-frequency analyses and modeling common to standard neuroscientific analyses. Here, we provide an open-source toolbox written in Matlab which takes raw files from the Summit RC+S and transforms these data into a standardized format amenable to conventional analyses. Furthermore, we provide a plotting tool which can aid in the visualization of multiple data streams and sense, stimulation, and therapy settings. Finally, we describe an analysis module which replicates RC+S on-board power computations, a functionality which can accelerate biomarker discovery. This toolbox aims to accelerate the research and clinical advances made possible by longitudinal neural recordings and adaptive neurostimulation in people with neurological and psychiatric illnesses.
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