ReviewFrontiers in systems neuroscience2014
Selective visual attention to drive cognitive brain-machine interfaces: from concepts to neurofeedback and rehabilitation applications.
Review in Frontiers in systems neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Effects of neurofeedback on the short-term memory and continuous attention of patients with moderate traumatic brain injury: A preliminary randomized controlled clinical trial.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2017Trial
- The Secondary Motor Cortex-External Globus Pallidus Pathway Regulates Auditory Feedback of Volitional Control.Neuroscience bulletin · 2026Article
- Differential effects of static and dynamic visual prompts on attention-motor performance: the role of sustained attention after stroke.Frontiers in neurology · 2026Article
- The prefrontal cortex encodes task-identity information and flexibly adjusts its sensory processes as a function of the specific ongoing task.PLoS biology · 2025Article
- Article
- Tracking momentary fluctuations in human attention with a cognitive brain-machine interface.Communications biology · 2022Article
- Dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Distractibility and impulsivity neural states are distinct from selective attention and modulate the implementation of spatial attention.Nature communications · 2022Article
- Prefrontal Control of Proactive and Reactive Mechanisms of Visual Suppression.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior.Frontiers in neuroscience · 2022Review
- Revisiting Persistent Neuronal Activity During Covert Spatial Attention.Frontiers in neural circuits · 2021Review
- Prefrontal attentional saccades explore space rhythmically.Nature communications · 2020Article
- Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects.Frontiers in human neuroscience · 2019Review
- Real-time decoding of covert attention in higher-order visual areas.NeuroImage · 2018Article
- A Feasibility Clinical Trial to Improve Social Attention in Autistic Spectrum Disorder (ASD) Using a Brain Computer Interface.Frontiers in neuroscience · 2018Article
- Classification of Targets and Distractors Present in Visual Hemifields Using Time-Frequency Domain EEG Features.Journal of healthcare engineering · 2018Article
- Virtual reality and brain computer interface in neurorehabilitation.Proceedings (Baylor University. Medical Center) · 2016Article
- The Mind-Writing Pupil: A Human-Computer Interface Based on Decoding of Covert Attention through Pupillometry.PloS one · 2016Article
- Differential dynamics of spatial attention, position, and color coding within the parietofrontal network.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
- Deferoxamine attenuates lipopolysaccharide-induced neuroinflammation and memory impairment in mice.Journal of neuroinflammation · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-machine interfaces (BMIs) using motor cortical activity to drive an external effector like a screen cursor or a robotic arm have seen enormous success and proven their great rehabilitation potential. An emerging parallel effort is now directed to BMIs controlled by endogenous cognitive activity, also called cognitive BMIs. While more challenging, this approach opens new dimensions to the rehabilitation of cognitive disorders. In the present work, we focus on BMIs driven by visuospatial attention signals and we provide a critical review of these studies in the light of the accumulated knowledge about the psychophysics, anatomy, and neurophysiology of visual spatial attention. Importantly, we provide a unique comparative overview of the several studies, ranging from non-invasive to invasive human and non-human primates studies, that decode attention-related information from ongoing neuronal activity. We discuss these studies in the light of the challenges attention-driven cognitive BMIs have to face. In a second part of the review, we discuss past and current attention-based neurofeedback studies, describing both the covert effects of neurofeedback onto neuronal activity and its overt behavioral effects. Importantly, we compare neurofeedback studies based on the amplitude of cortical activity to studies based on the enhancement of cortical information content. Last, we discuss several lines of future research and applications for attention-driven cognitive brain-computer interfaces (BCIs), including the rehabilitation of cognitive deficits, restored communication in locked-in patients, and open-field applications for enhanced cognition in normal subjects. The core motivation of this work is the key idea that the improvement of current cognitive BMIs for therapeutic and open field applications needs to be grounded in a proper interdisciplinary understanding of the physiology of the cognitive function of interest, be it spatial attention, working memory or any other cognitive signal.
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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.