ArticleFrontiers in human neuroscience2020
SSVEP BCI and Eye Tracking Use by Individuals With Late-Stage ALS and Visual Impairments.
Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities.Frontiers in human neuroscience · 2022Pooled it
- Eye tracking as a digital biomarker in neurodegenerative diseases.Journal of neurology · 2026Review
- Current status and future prospects of brain-computer interfaces in the field of neurological disease rehabilitation.Frontiers in rehabilitation sciences · 2026Review
- Innovation, Adaptation, and Human Dignity in Assistive Robotics in Amyotrophic Lateral Sclerosis: A Rehabilitation Medicine Perspective.Journal of biotechnology and biomedicine · 2026Article
- Visual ERP-based brain-computer interface use with severe physical, speech and eye movement impairments: case studies.Journal of neuroengineering and rehabilitation · 2025Article
- Text Typing Using Blink-to-Alphabet Tree for Patients with Neuro-Locomotor Disabilities.Sensors (Basel, Switzerland) · 2025Article
- Stage-Based Communication Rehabilitation in Amyotrophic Lateral Sclerosis (ALS): A Review of Strategies for Enhancing Quality of Life.Archives of internal medicine research · 2025Article
- Making Video Games More Inclusive for People Living With Motor Neuron Disease: Scoping Review.JMIR rehabilitation and assistive technologies · 2024Article
- Steady-State Visual Evoked Potential-Based Brain-Computer Interface System for Enhanced Human Activity Monitoring and Assessment.Sensors (Basel, Switzerland) · 2024Article
- Brain-computer interface in critical care and rehabilitation.Acute and critical care · 2024Article
- Emergence from Disorders of Consciousness: Optimizing Self-Agency Through Communication.Physical medicine and rehabilitation clinics of North America · 2024Review
- Multi-Task Learning-Based Deep Neural Network for Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces.Sensors (Basel, Switzerland) · 2022Article
- Development of a Sensing Platform Based on Hands-Free Interfaces for Controlling Electronic Devices.Frontiers in human neuroscience · 2022Article
- Summary of over Fifty Years with Brain-Computer Interfaces-A Review.Brain sciences · 2021Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Access to communication is critical for individuals with late-stage amyotrophic lateral sclerosis (ALS) and minimal volitional movement, but they sometimes present with concomitant visual or ocular motility impairments that affect their performance with eye tracking or visual brain-computer interface (BCI) systems. In this study, we explored the use of modified eye tracking and steady state visual evoked potential (SSVEP) BCI, in combination with the Shuffle Speller typing interface, for this population. Two participants with late-stage ALS, visual impairments, and minimal volitional movement completed a single-case experimental research design comparing copy-spelling performance with three different typing systems: (1) commercially available eye tracking communication software, (2) Shuffle Speller with modified eye tracking, and (3) Shuffle Speller with SSVEP BCI. Participant 1 was unable to type any correct characters with the commercial system, but achieved accuracies of up to 50% with Shuffle Speller eye tracking and 89% with Shuffle Speller BCI. Participant 2 also had higher maximum accuracies with Shuffle Speller, typing with up to 63% accuracy with eye tracking and 100% accuracy with BCI. However, participants' typing accuracy for both Shuffle Speller conditions was highly variable, particularly in the BCI condition. Both the Shuffle Speller interface and SSVEP BCI input show promise for improving typing performance for people with late-stage ALS. Further development of innovative BCI systems for this population is needed.
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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.