Chronic electrocorticography for sensing movement intention and closed-loop deep brain stimulation with wearable sensors in an essential tremor patient

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DEEP BRAIN STIMULATION

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Kinematic <scp>A</scp> daptive <scp>D</scp> eep <scp>B</scp> rain <scp>S</scp> timulation for <scp>R</scp> esting <scp>T</scp> remor in <scp>P</scp> arkinson's <scp>D</scp> isease

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Clinical response to varying the stimulus parameters in deep brain stimulation for essential tremor

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Creating the Feedback Loop

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On-Demand Control System for Deep Brain Stimulation for Treatment of Intention Tremor

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8th International IEEE EMBS Conference on Neural Engineering

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Closed-loop DBS with movement intention

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Prototype closed-loop deep brain stimulation systems inspired by Norbert Wiener

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A Metric for Evaluating and Comparing Closed-Loop Deep Brain Stimulation AlgorithmsPreprint

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Technology of deep brain stimulation: current status and future directions

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Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s disease

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Emerging technologies for improved deep brain stimulation

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Cellular, molecular, and clinical mechanisms of action of deep brain stimulation—a systematic review on established indications and outlook on future developments

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Deep Brain Stimulation in Movement Disorders: From Experimental Surgery to Evidence‐Based Therapy

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Neurostimulation Devices for the Treatment of Neurologic Disorders

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A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders

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Adaptive Deep Brain Stimulation: From Experimental Evidence Toward Practical Implementation

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An update on adaptive deep brain stimulation in Parkinson's disease

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Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic

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Closing the Loop on Deep Brain Stimulation for Treatment-Resistant Depression

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Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders

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Device profile of the percept PC deep brain stimulation system for the treatment of Parkinson’s disease and related disorders

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Sensor Modalities for Brain-Computer Interface Technology: A Comprehensive Literature Review

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Report of a patient undergoing chronic responsive deep brain stimulation for Tourette syndrome: proof of concept

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Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis

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Closed‐Loop Deep Brain Stimulation for Essential Tremor Based on Thalamic Local Field Potentials

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Decoding voluntary movements and postural tremor based on thalamic LFPs as a basis for closed-loop stimulation for essential tremor

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Deep brain stimulation for Tourette’s syndrome

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Cortical Brain–Computer Interface for Closed-Loop Deep Brain Stimulation

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Biomarkers and Stimulation Algorithms for Adaptive Brain Stimulation

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Deep brain stimulation: a review of the open neural engineering challenges

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A review of basal ganglia circuits and physiology: Application to deep brain stimulation

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Digital Technology in Movement Disorders: Updates, Applications, and Challenges

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Implantable brain–computer interface for neuroprosthetic-enabled volitional hand grasp restoration in spinal cord injury

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Approaches to closed-loop deep brain stimulation for movement disorders

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Recent Progress in Wearable Brain–Computer Interface (BCI) Devices Based on Electroencephalogram (EEG) for Medical Applications: A Review

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Directions of Deep Brain Stimulation for Epilepsy and Parkinson’s Disease

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DyNeuMo Mk-1: Design and pilot validation of an investigational motion-adaptive neurostimulator with integrated chronotherapy

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A machine-learning approach to volitional control of a closed-loop deep brain stimulation system

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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

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Developing Collaborative Platforms to Advance Neurotechnology and Its Translation

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Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review

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Closed-Loop Adaptive Deep Brain Stimulation in Parkinson’s Disease: Procedures to Achieve It and Future Perspectives

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Deep Brain Stimulation for Tremor: Update on Long-Term Outcomes, Target Considerations and Future Directions

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DyNeuMo Mk-2: An Investigational Circadian-Locked Neuromodulator with Responsive Stimulation for Applied Chronobiology

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Parkinsonian Tremor Detection from Subthalamic Nucleus Local Field Potentials for Closed-Loop Deep Brain Stimulation

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Subthalamic beta-targeted neurofeedback speeds up movement initiation but increases tremor in Parkinsonian patients

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Controlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A Principled Framework

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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

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Totally Implantable Bidirectional Neural Prostheses: A Flexible Platform for Innovation in Neuromodulation

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Fully implanted adaptive deep brain stimulation in freely moving essential tremor patients

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Now is the Critical Time for Engineered Neuroplasticity

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Significance and Translational Value of High-Frequency Cortico-Basal Ganglia Oscillations in Parkinson’s Disease

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Milestones in Tremor Research: 10 Years Later

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Automated deep brain stimulation programming with safety constraints for tremor suppression in patients with Parkinson’s disease and essential tremor

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Chronic wireless streaming of invasive neural recordings at home for circuit discovery and adaptive stimulationPreprint

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Modulation of hippocampal activity with fornix Deep Brain Stimulation

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A Pilot Study on Data-Driven Adaptive Deep Brain Stimulation in Chronically Implanted Essential Tremor Patients

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Closed-Loop Deep Brain Stimulation for Psychiatric Disorders

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Oscillatory beta dynamics inform biomarker-driven treatment optimization for Parkinson’s disease

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Movement-responsive deep brain stimulation for Parkinson’s disease using a remotely optimized neural decoder

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Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson’s disease

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Closed-loop DBS triggered by real-time movement and tremor decoding based on thalamic LFPs for essential tremor

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Ethical gaps in closed-loop neurotechnology: a scoping review

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Electrocorticography During Deep Brain Stimulation Surgery: Safety Experience From 4 Centers Within the National Institute of Neurological Disorders and Stroke Research Opportunities in Human Consortium

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Advancements in non-invasive microwave brain stimulation: A comprehensive survey

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Reengineering deep brain stimulation for movement disorders: Emerging technologies

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Closing the Loop With Cortical Sensing: The Development of Adaptive Deep Brain Stimulation for Essential Tremor Using the Activa PC+S

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In silico development and validation of Bayesian methods for optimizing deep brain stimulation to enhance cognitive control

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Ethical Considerations in Ending Exploratory Brain–Computer Interface Research Studies in Locked-in Syndrome

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The Emerging Role of Biomarkers in Adaptive Modulation of Clinical Brain Stimulation

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Subthalamic nucleus deep brain stimulation driven by primary motor cortex γ2 activity in parkinsonian monkeys

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Bi-directional brain interfacing instrumentation

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Application of optimized convolutional neural networks for early aided diagnosis of essential tremor: Automatic handwriting recognition and feature analysis

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High-resolution local field potentials measured with deep brain stimulation arrays

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Challenges and opportunities of acquiring cortical recordings for chronic adaptive deep brain stimulation

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Simultaneous cortical and subcortical recordings in humans with movement disorders: Acute and chronic paradigms

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