ArticleExpert review of medical devices2014
BCI-FES: could a new rehabilitation device hold fresh promise for stroke patients?
Article in Expert review of medical devices, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
16 citing papers in PubMed, 28 citations in OpenAlex.
- EEG-controlled functional electrical stimulation rehabilitation for chronic stroke: system design and clinical application.Frontiers of medicine · 2021Trial
- Functional electrical stimulation therapy controlled by a P300-based brain-computer interface, as a therapeutic alternative for upper limb motor function recovery in chronic post-stroke patients. A non-randomized pilot study.Frontiers in neurology · 2023Article
- A sequential learning model with GNN for EEG-EMG-based stroke rehabilitation BCI.Frontiers in neuroscience · 2023Article
- The Frequency Effect of the Motor Imagery Brain Computer Interface Training on Cortical Response in Healthy Subjects: A Randomized Clinical Trial of Functional Near-Infrared Spectroscopy Study.Frontiers in neuroscience · 2022Article
- BCI-FES With Multimodal Feedback for Motor Recovery Poststroke.Frontiers in human neuroscience · 2022Article
- Patient-specific functional electrical stimulation strategy based on muscle synergy and walking posture analysis for gait rehabilitation of stroke patients.The Journal of international medical research · 2021Article
- Ipsilesional Mu Rhythm Desynchronization Correlates With Improvements in Affected Hand Grip Strength and Functional Connectivity in Sensorimotor Cortices Following BCI-FES Intervention for Upper Extremity in Stroke Survivors.Frontiers in human neuroscience · 2021Article
- Ipsilesional Mu Rhythm Desynchronization and Changes in Motor Behavior Following Post Stroke BCI Intervention for Motor Rehabilitation.Frontiers in neuroscience · 2019Article
- Behavioral Outcomes Following Brain-Computer Interface Intervention for Upper Extremity Rehabilitation in Stroke: A Randomized Controlled Trial.Frontiers in neuroscience · 2018Article
- Early Findings on Functional Connectivity Correlates of Behavioral Outcomes of Brain-Computer Interface Stroke Rehabilitation Using Machine Learning.Frontiers in neuroscience · 2018Article
- High Classification Accuracy of a Motor Imagery Based Brain-Computer Interface for Stroke Rehabilitation Training.Frontiers in robotics and AI · 2018Article
- Evaluation of Changes in the Motor Network Following BCI Therapy Based on Graph Theory Analysis.Frontiers in neuroscience · 2018Article
- Article
- Role of the Contralesional vs. Ipsilesional Hemisphere in Stroke Recovery.Frontiers in human neuroscience · 2017Review
- Brain-Computer Interface Training after Stroke Affects Patterns of Brain-Behavior Relationships in Corticospinal Motor Fibers.Frontiers in human neuroscience · 2016Article
- Dose-response relationships using brain-computer interface technology impact stroke rehabilitation.Frontiers in human neuroscience · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
It has been known that stroke constitutes a major source of acquired disability, with nearly 800,000 new strokes each year in the USA alone. While advances in public and preventative health have helped reduce stroke incidence in high-income countries in recent decades, growth of the aging population, increasing stroke rates in low- to middle-income countries and medical advances that have reduced stroke mortality are all contributing to an increase in stroke survivors worldwide. Large numbers of stroke survivors have residual motor deficits. This editorial will provide an introduction to a class of new therapies being investigated with the aim of improving motor outcomes in stroke patients that uses what is known as brain-computer interface technology.
Indexed as
Identifiers
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.