ArticleIEEE transactions on bio-medical engineering2018
Three-Dimensional Brain-Computer Interface Control Through Simultaneous Overt Spatial Attentional and Motor Imagery Tasks.
Article in IEEE transactions on bio-medical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Relationship Between Visual Integration, Social Cognition, and Symptoms in Schizophrenia: An Eye-Tracking Study.Turk psikiyatri dergisi = Turkish journal of psychiatry · 2026Article
- EEG-based brain-computer interface enables real-time robotic hand control at individual finger level.Nature communications · 2025Article
- Continuous Reaching and Grasping With a BCI Controlled Robotic Arm in Healthy and Stroke-Affected Individuals.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Non-Invasive Brain-Computer Interfaces: State of the Art and Trends.IEEE reviews in biomedical engineering · 2025Review
- Continuous tracking using deep learning-based decoding for noninvasive brain-computer interface.PNAS nexus · 2024Article
- Integrating Simultaneous Motor Imagery and Spatial Attention for EEG-BCI Control.IEEE transactions on bio-medical engineering · 2024Article
- Liquid-in-liquid printing of 3D and mechanically tunable conductive hydrogels.Nature communications · 2023Article
- Continuous shared control of a mobile robot with brain-computer interface and autonomous navigation for daily assistance.Computational and structural biotechnology journal · 2023Article
- Immediate effects of short-term meditation on sensorimotor rhythm-based brain-computer interface performance.Frontiers in human neuroscience · 2022Article
- Brain-Computer Interface: Advancement and Challenges.Sensors (Basel, Switzerland) · 2021Review
- Benefits of deep learning classification of continuous noninvasive brain-computer interface control.Journal of neural engineering · 2021Article
- What Internal Variables Affect Sensorimotor Rhythm Brain-Computer Interface (SMR-BCI) Performance?HCA healthcare journal of medicine · 2021Review
- Effects of Gaze Fixation on the Performance of a Motor Imagery-Based Brain-Computer Interface.Frontiers in human neuroscience · 2021Article
- Spatial-temporal aspects of continuous EEG-based neurorobotic control.Journal of neural engineering · 2020Article
- An optical brain-to-brain interface supports rapid information transmission for precise locomotion control.Science China. Life sciences · 2020Article
- Effects of Long-Term Meditation Practices on Sensorimotor Rhythm-Based Brain-Computer Interface Learning.Frontiers in neuroscience · 2020Article
- Temporal Combination Pattern Optimization Based on Feature Selection Method for Motor Imagery BCIs.Frontiers in human neuroscience · 2020Article
- Electroencephalography-Based Brain-Computer Interface Motor Imagery Classification.Journal of medical signals and sensorsArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveWhile noninvasive electroenceph-alography (EEG) based brain-computer interfacing (BCI) has been successfully demonstrated in two-dimensional (2-D) control tasks, little work has been published regarding its extension to practical three-dimensional (3-D) control.
methodsIn this study, we developed a new BCI approach for 3-D control by combining a novel form of endogenous visuospatial attentional modulation, defined as overt spatial attention (OSA), and motor imagery (MI).
resultsOSA modulation was shown to provide comparable control to conventional MI modulation in both 1-D and 2-D tasks. Furthermore, this paper provides evidence for the functional independence of traditional MI and OSA, as well as an investigation into the simultaneous use of both. Using this newly proposed BCI paradigm, 16 participants successfully completed a 3-D eight-target control task. Nine of these subjects further demonstrated robust 3-D control in a 12-target task, significantly outperforming the information transfer rate achieved in the 1-D and 2-D control tasks (29.7 ± 1.6 b/min).
conclusionThese results strongly support the hypothesis that noninvasive EEG-based BCI can provide robust 3-D control through endogenous neural modulation in broader populations with limited training. SIGNIFICANCE: Through the combination of the two strategies (MI and OSA), a substantial portion of the recruited subjects were capable of robustly controlling a virtual cursor in 3-D space. The proposed novel approach could broaden the dimensionality of BCI control and shorten the training time.
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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.