ArticleJournal of neural engineering2018
Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke.
Article in Journal of neural engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06307834 (Restoring Grasp Ability in Stroke Survivors Through Motor Imagery-Based Training With EEG Feedback), which is not on this map. Cited by 21 papers, 4 of them syntheses 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.
Restoring Grasp Ability in Stroke Survivors Through Motor Imagery-Based Training With EEG Feedback
Who cites it
21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Hand-worn devices for assessment and rehabilitation of motor function and their potential use in BCI protocols: a review.Frontiers in human neuroscience · 2023Pooled it
- Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain-Computer Interfaces: A Systematic Literature Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2021Pooled it
- Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis.Journal of neuroengineering and rehabilitation · 2020Pooled it
- Brain computer interface training with motor imagery and functional electrical stimulation for patients with severe upper limb paresis after stroke: a randomized controlled pilot trial.Journal of neuroengineering and rehabilitation · 2024Trial
- Neurorehabilitation in the 21st Century: New Science, New Strategies, New Expectations.Neurorehabilitation and neural repair · 2026Review
- Exploring Imagined Movement for Brain-Computer Interface Control: An fNIRS and EEG Review.Brain sciences · 2025Review
- EEG-based sensorimotor neurofeedback for motor neurorehabilitation in children and adults: A scoping review.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Article
- Altered brain function during movement programming is linked with motor deficits after stroke: a high temporal resolution study.Frontiers in neuroscience · 2024Article
- Correlation between the ERD in grasp/open tasks of BCIs and hand function of stroke patients: a cross-sectional study.Biomedical engineering online · 2023Article
- Enhancing neurorehabilitation by targeting beneficial plasticity.Frontiers in rehabilitation sciences · 2023Review
- Sensorimotor Rhythm-Based Brain-Computer Interfaces for Motor Tasks Used in Hand Upper Extremity Rehabilitation after Stroke: A Systematic Review.Brain sciences · 2022Review
- Determining optimal mobile neurofeedback methods for motor neurorehabilitation in children and adults with non-progressive neurological disorders: a scoping review.Journal of neuroengineering and rehabilitation · 2022Article
- Robot-Assisted Bimanual Training Improves Hand Function in Patients With Subacute Stroke: A Randomized Controlled Pilot Study.Frontiers in neurology · 2022Article
- Targeting neuroplasticity to improve motor recovery after stroke: an artificial neural network model.Brain communications · 2022Article
- Sensorimotor Rhythm-Brain Computer Interface With Audio-Cue, Motor Observation and Multisensory Feedback for Upper-Limb Stroke Rehabilitation: A Controlled Study.Frontiers in neuroscience · 2022Article
- Article
- Neuromechanical Biomarkers for Robotic Neurorehabilitation.Frontiers in neurorobotics · 2021Review
- Nursing effects of finger exercise on cognitive function and others for cerebral ischemic stroke patients.American journal of translational research · 2021Article
- Feasibility of Wearable Sensing for In-Home Finger Rehabilitation Early After Stroke.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveBrain-computer interface (BCI) technology is attracting increasing interest as a tool for enhancing recovery of motor function after stroke, yet the optimal way to apply this technology is unknown. Here, we studied the immediate and therapeutic effects of BCI-based training to control pre-movement sensorimotor rhythm (SMR) amplitude on robot-assisted finger extension in people with stroke. APPROACH: Eight people with moderate to severe hand impairment due to chronic stroke completed a four-week three-phase protocol during which they practiced finger extension with assistance from the FINGER robotic exoskeleton. In Phase 1, we identified spatiospectral SMR features for each person that correlated with the intent to extend the index and/or middle finger(s). In Phase 2, the participants learned to increase or decrease SMR features given visual feedback, without movement. In Phase 3, the participants were cued to increase or decrease their SMR features, and when successful, were then cued to immediately attempt to extend the finger(s) with robot assistance. MAIN
resultsOf the four participants that achieved SMR control in Phase 2, three initiated finger extensions with a reduced reaction time after decreasing (versus increasing) pre-movement SMR amplitude during Phase 3. Two also extended at least one of their fingers more forcefully after decreasing pre-movement SMR amplitude. Hand function, measured by the box and block test (BBT), improved by 7.3 ± 7.5 blocks versus 3.5 ± 3.1 blocks in those with and without SMR control, respectively. Higher BBT scores at baseline correlated with a larger change in BBT score. SIGNIFICANCE: These results suggest that learning to control person-specific pre-movement SMR features associated with finger extension can improve finger extension ability after stroke for some individuals. These results merit further investigation in a rehabilitation context.
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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.