ReviewMuscle & nerve2020
Brain-computer interfaces for amyotrophic lateral sclerosis.
Review in Muscle & nerve, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Pooled it
- Next-Generation Strategies for Neural Repair and Regeneration: Neural Organoid Transplantation in the CNS.Cell proliferation · 2026Review
- Evaluation of video background and stimulus transparency in a visual ERP-based BCI under RSVP.Medical & biological engineering & computing · 2026Article
- Current status and future prospects of brain-computer interfaces in the field of neurological disease rehabilitation.Frontiers in rehabilitation sciences · 2026Review
- All hands on deck: The multidisciplinary rehabilitation assessment and management of hand function in persons with neuromuscular disorders.Muscle & nerve · 2025Review
- Patients and treatments in a neuropalliative outpatient clinic: an analysis of clinical routine data from five years of care.Frontiers in neurology · 2025Article
- Recording the tactile P300 with the cEEGrid for potential use in a brain-computer interface.Frontiers in human neuroscience · 2024Article
- Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience.Frontiers in human neuroscience · 2023Article
- A flexible speller based on time-space frequency conversion SSVEP stimulation paradigm under dry electrode.Frontiers in computational neuroscience · 2023Article
- [Robotic arm control system based on augmented reality brain-computer interface and computer vision].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Article
- Evaluation of a P300-Based Brain-Machine Interface for a Robotic Hand-Orthosis Control.Frontiers in neuroscience · 2020Article
- Innovations In Physical Medicine and Rehabilitation: Advances in the Diagnosis, Treatment, and Care of Amyotrophic Lateral Sclerosis.Missouri medicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
A brain-computer interface (BCI) is a device that detects signals from the brain and transforms them into useful commands. Researchers have developed BCIs that utilize different kinds of brain signals. These different BCI systems have differing characteristics, such as the amount of training required and the degree to which they are or are not invasive. Much of the research on BCIs to date has involved healthy individuals and evaluation of classification algorithms. Some BCIs have been shown to have potential benefit for users with minimal muscular function as a result of amyotrophic lateral sclerosis. However, there are still several challenges that need to be successfully addressed before BCIs can be clinically useful.
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.