ArticleSeminars in neurology2021
Brain-Computer Interfaces in Neurorecovery and Neurorehabilitation.
Article in Seminars in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed, 66 citations in OpenAlex.
- Review
- Subject-Specific Deep Learning Model for Motor Imagery Direction Decoding.Sensors (Basel, Switzerland) · 2026Article
- Article
- Robotic Rehabilitation in Spinal Cord Injury: Neurophysiological Basis and Severity-Based Clinical Framework.Brain sciences · 2026Review
- Brain-Computer Interfaces: The Dawn of a New Era in Disease Treatment.Exploration (Beijing, China) · 2026Review
- Optimal inter-electrode distances for maximizing single unit yield per electrode in neural recordings.Microsystems & nanoengineering · 2026Article
- Brain-Computer Interfaces for Vision Recovery in Precortical Vision Loss.Eye and brain · 2026Review
- Perioperative management for invasive brain-computer interface implantation under surgical navigation in a patient with traumatic spinal cord injury: a case report.Frontiers in human neuroscience · 2026Article
- Ethical imperatives in the commercialization of brain-computer interfaces.IBRO neuroscience reports · 2025Article
- The Next Frontiers in Preventive and Personalized Healthcare: Artificial Intelligent-powered Solutions.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2025Review
- Repair mechanisms of the central nervous system: From axon sprouting to remyelination.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Review
- Opportunities and Challenges of Brain-on-a-Chip Interfaces.Cyborg and bionic systems (Washington, D.C.) · 2025Review
- Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Controlled EEG-tDCS Study.Brain sciences · 2024Article
- Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013-2023).Sensors (Basel, Switzerland) · 2024Review
- 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
- Implanted cortical neuroprosthetics for speech and movement restoration.Journal of neurology · 2024Review
- Physical Therapy in Neurorehabilitation with an Emphasis on Sports: A Bibliometric Analysis and Narrative Review.Sports (Basel, Switzerland) · 2024Review
- Noninvasive brain stimulation during EEG improves machine learning classiResearch square · 2024Article
- From Cats to the Cortex: Unravelling the Hierarchical Processing System of Vision and Brain Plasticity.Cureus · 2024Review
- Narrative Discourse Performance in Traumatic Brain Injury: Does Story Comprehension Predict Story Retelling?Journal of speech, language, and hearing research : JSLHR · 2024Article
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 2 institutions in 1 country.
Funding
Abstract
Recent advances in brain-computer interface technology to restore and rehabilitate neurologic function aim to enable persons with disabling neurologic conditions to communicate, interact with the environment, and achieve other key activities of daily living and personal goals. Here we evaluate the principles, benefits, challenges, and future directions of brain-computer interfaces in the context of neurorehabilitation. We then explore the clinical translation of these technologies and propose an approach to facilitate implementation of brain-computer interfaces for persons with neurologic disease.
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.