ArticleFrontiers in human neuroscience2020
Perspective: Evolution of Control Variables and Policies for Closed-Loop Deep Brain Stimulation for Parkinson's Disease Using Bidirectional Deep-Brain-Computer Interfaces.
Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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Who cites it
19 citing papers in PubMed, 35 citations in OpenAlex.
- 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
- Activity-dependent adaptive deep brain stimulation improves gait in Parkinson's disease.Nature medicine · 2026Article
- Brain-Computer Interfaces: The Dawn of a New Era in Disease Treatment.Exploration (Beijing, China) · 2026Review
- Rewiring Attention: Virtual Reality and Brain-Computer Interfaces in the Rehabilitation of Unilateral Spatial Neglect.Journal of clinical medicine · 2026Review
- Reduced pre-movement subthalamic beta desynchronization marks motor deficit in Parkinson's disease.Brain communications · 2026Article
- A clinical grade neurostimulation implant for hierarchical control of physiological activity.bioRxiv : the preprint server for biology · 2025Article
- Neural vs Neuromorphic Interfaces: Where Are We Standing?Chemical reviews · 2025Review
- Mechanically-adaptive, resveratrol-eluting neural probes for improved intracortical recording performance and stability.Npj flexible electronics · 2025Article
- Wireless closed-loop deep brain stimulation using microelectrode array probes.Journal of Zhejiang University. Science. B · 2024Review
- Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review.Frontiers in computational neuroscience · 2024Review
- Deep brain stimulation, lesioning, focused ultrasound: update on utility.AIMS neuroscience · 2023Review
- Recent Progress in Wearable Brain-Computer Interface (BCI) Devices Based on Electroencephalogram (EEG) for Medical Applications: A Review.Health data science · 2023Review
- Personalized Brain-Computer Interface and Its Applications.Journal of personalized medicine · 2022Review
- Quantifying neuro-motor correlations during awake deep brain stimulation surgery using markerless tracking.Scientific reports · 2022Article
- Caregiver Burden in Partners of Parkinsonian Patients with Deep Brain Stimulation.Brain sciences · 2022Review
- Ramp Rate Evaluation and Configuration for Safe and Tolerable Closed-Loop Deep Brain Stimulation.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2021Article
- Future Therapeutic Strategies for Freezing of Gait in Parkinson's Disease.Frontiers in human neuroscience · 2021Review
- Controlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A Principled Framework.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
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
A deep brain stimulation system capable of closed-loop neuromodulation is a type of bidirectional deep brain-computer interface (dBCI), in which neural signals are recorded, decoded, and then used as the input commands for neuromodulation at the same site in the brain. The challenge in assuring successful implementation of bidirectional dBCIs in Parkinson's disease (PD) is to discover and decode stable, robust and reliable neural inputs that can be tracked during stimulation, and to optimize neurostimulation patterns and parameters (control policies) for motor behaviors at the brain interface, which are customized to the individual. In this perspective, we will outline the work done in our lab regarding the evolution of the discovery of neural and behavioral control variables relevant to PD, the development of a novel personalized dual-threshold control policy relevant to the individual's therapeutic window and the application of these to investigations of closed-loop STN DBS driven by neural or kinematic inputs, using the first generation of bidirectional dBCIs.
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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.