ReviewAnnals of biomedical engineering2014
Closed-loop brain-machine-body interfaces for noninvasive rehabilitation of movement disorders.
Review in Annals of biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- A Systematic Review of Closed-Loop Feedback Techniques in Sleep Studies-Related Issues and Future Directions.Sensors (Basel, Switzerland) · 2020Pooled it
- Review
- Toward Brain-Computer Interface motor rehabilitation for people with Multiple Sclerosis.Frontiers in medicine · 2025Article
- MSHANet: a multi-scale residual network with hybrid attention for motor imagery EEG decoding.Cognitive neurodynamics · 2024Article
- Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review.Frontiers in computational neuroscience · 2024Review
- Advancements in brain-machine interfaces for application in the metaverse.Frontiers in neuroscience · 2024Review
- Multi-Modal Rehabilitation Therapy in Parkinson's Disease and Related Disorders.Annals of Indian Academy of Neurology · 2023Article
- A Wirelessly Powered 4-Channel Neurostimulator for Reconstructing Walking Trajectory.Sensors (Basel, Switzerland) · 2022Article
- Brain structural and functional correlates to defense-related inhibition of muscle sympathetic nerve activity in man.Scientific reports · 2022Article
- Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work?Frontiers in aging neuroscience · 2022Review
- G-Exos: A wearable gait exoskeleton for walk assistance.Frontiers in neurorobotics · 2022Article
- Mind the gap: State-of-the-art technologies and applications for EEG-based brain-computer interfaces.APL bioengineering · 2021Review
- Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges.Sensors (Basel, Switzerland) · 2021Review
- Adaptive Parameter Modulation of Deep Brain Stimulation Based on Improved Supervisory Algorithm.Frontiers in neuroscience · 2021Article
- Visual Feedback Control of a Rat Ankle Angle Using a Wirelessly Powered Two-Channel Neurostimulator.Sensors (Basel, Switzerland) · 2020Article
- Wearable EEG and beyond.Biomedical engineering letters · 2019Review
- Removal of Gross Artifacts of Transcranial Alternating Current Stimulation in Simultaneous EEG Monitoring.Sensors (Basel, Switzerland) · 2019Article
- Electroencephalographic read-outs of the modulation of cortical network activity by deep brain stimulation.Bioelectronic medicine · 2018Review
- Advances in closed-loop deep brain stimulation devices.Journal of neuroengineering and rehabilitation · 2017Review
- A Novel Spatial Feature for the Identification of Motor Tasks Using High-Density Electromyography.Sensors (Basel, Switzerland) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 1 country.
Funding
Abstract
Traditional approaches for neurological rehabilitation of patients affected with movement disorders, such as Parkinson's disease (PD), dystonia, and essential tremor (ET) consist mainly of oral medication, physical therapy, and botulinum toxin injections. Recently, the more invasive method of deep brain stimulation (DBS) showed significant improvement of the physical symptoms associated with these disorders. In the past several years, the adoption of feedback control theory helped DBS protocols to take into account the progressive and dynamic nature of these neurological movement disorders that had largely been ignored so far. As a result, a more efficient and effective management of PD cardinal symptoms has emerged. In this paper, we review closed-loop systems for rehabilitation of movement disorders, focusing on PD, for which several invasive and noninvasive methods have been developed during the last decade, reducing the complications and side effects associated with traditional rehabilitation approaches and paving the way for tailored individual therapeutics. We then present a novel, transformative, noninvasive closed-loop framework based on force neurofeedback and discuss several future developments of closed-loop systems that might bring us closer to individualized solutions for neurological rehabilitation of movement disorders.
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What OpenQuestion 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 OpenQuestion graph.