ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2020
A Closed-loop Deep Brain Stimulation Approach for Mitigating Burst Durations in People with Parkinson's Disease.
Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- The Sequence Effect Worsens Over Time in Parkinson's Disease and Responds to Open and Closed-Loop Subthalamic Nucleus Deep Brain Stimulation.Journal of Parkinson's disease · 2023Trial
- Real-Time Kinematic Adaptive Deep Brain Stimulation Safely Reduces Gait Impairment and Freezing of Gait in Parkinson's Disease.medRxiv : the preprint server for health sciences · 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
- N2GNet tracks gait performance from subthalamic neural signals in Parkinson's disease.NPJ digital medicine · 2025Article
- Beta burst-driven adaptive deep brain stimulation for gait impairment and freezing of gait in Parkinson's disease.Brain communications · 2025Article
- N2GNet tracks gait performance from subthalamic neural signals in Parkinson's disease.Research square · 2024Article
- Wireless closed-loop deep brain stimulation using microelectrode array probes.Journal of Zhejiang University. Science. B · 2024Review
- Unraveling the complexities of programming neural adaptive deep brain stimulation in Parkinson's disease.Frontiers in human neuroscience · 2023Article
- Novel approaches for quantifying beta synchrony in Parkinson's disease.Experimental brain research · 2022Review
- Concurrent stimulation and sensing in bi-directional brain interfaces: a multi-site translational experience.Journal of neural engineering · 2022Article
- Proceedings of the Ninth Annual Deep Brain Stimulation Think Tank: Advances in Cutting Edge Technologies, Artificial Intelligence, Neuromodulation, Neuroethics, Pain, Interventional Psychiatry, Epilepsy, and Traumatic Brain Injury.Frontiers in human neuroscience · 2022Article
- Real-time estimation of phase and amplitude with application to neural data.Scientific reports · 2021Article
- Closing the Loop With Cortical Sensing: The Development of Adaptive Deep Brain Stimulation for Essential Tremor Using the Activa PC+S.Frontiers in neuroscience · 2021Review
- Differential Effects of Pathological Beta Burst Dynamics Between Parkinson's Disease Phenotypes Across Different Movements.Frontiers in neuroscience · 2021Article
- Sleep-Aware Adaptive Deep Brain Stimulation Control: Chronic Use at Home With Dual Independent Linear Discriminate Detectors.Frontiers in neuroscience · 2021Article
- Perspective: Evolution of Control Variables and Policies for Closed-Loop Deep Brain Stimulation for Parkinson's Disease Using Bidirectional Deep-Brain-Computer Interfaces.Frontiers in human neuroscience · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Increased beta band synchrony has been demonstrated to be a biomarker of Parkinson's disease (PD). This abnormal synchrony can often be prolonged in long bursts of beta activity, which may interfere with normal sensorimotor processing. Previous closed loop deep brain stimulation (DBS) algorithms used averaged beta power to drive neurostimulation, which were indiscriminate to physiological (short) versus pathological (long) beta burst durations. We present a closed-loop DBS algorithm using beta burst duration as the control signal. Benchtop validation results demonstrate the feasibility of the algorithm in real-time by responding to pre-recorded STN data from a PD participant. These results provide the basis for future improved closed-loop algorithms focused on burst durations for in mitigating symptoms of PD.
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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.