ReviewFrontiers in neuroscience2016
Neurofeedback Therapy for Enhancing Visual Attention: State-of-the-Art and Challenges.
Review in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Review of EEG-based neurofeedback as a therapeutic intervention to treat depression.Psychiatry research. Neuroimaging · 2023Pooled it
- An intelligent sport training method based on EEG neurofeedback.Scientific reports · 2025Trial
- Brain-Computer Interface Training Enhances Attention Function via Modulating Frontoparietal Connectivity: Evidence From Functional Near-Infrared Spectroscopy.Neural plasticity · 2026Article
- Neurofeedback: Applications, advancements, and future directions.PCN reports : psychiatry and clinical neurosciences · 2025Review
- Action Observation Training for Upper Limb Stroke Rehabilitation: A Pilot Study on the Role of Attention.Journal of clinical medicine · 2025Article
- Effect of Brain Computer Interface Training on Frontoparietal Network Function for Young People: A Functional Near-Infrared Spectroscopy Study.CNS neuroscience & therapeutics · 2025Article
- Efficacy of neurofeedback training for improving attentional performance in healthy adults: A systematic review and meta-analysis.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Effectiveness of Technology-Based Interventions for School-Age Children With Attention-Deficit/Hyperactivity Disorder: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR mental health · 2023Review
- Methodology and preliminary data on feasibility of a neurofeedback protocol to improve visual attention to letters in mild Alzheimer's disease.Contemporary clinical trials communications · 2022Article
- Using Neurofeedback from Steady-State Visual Evoked Potentials to Target Affect-Biased Attention in Augmented Reality.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022Article
- Functional Near-Infrared Spectroscopy Neurofeedback Enhances Human Spatial Memory.Frontiers in human neuroscience · 2021Article
- Neural Decoding of Multi-Modal Imagery Behavior Focusing on Temporal Complexity.Frontiers in psychiatry · 2020Article
- A P300 Brain-Computer Interface With a Reduced Visual Field.Frontiers in neuroscience · 2020Article
- Modulating the interhemispheric activity balance in the intraparietal sulcus using real-time fMRI neurofeedback: Development and proof-of-concept.NeuroImage. Clinical · 2020Article
- Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects.Frontiers in human neuroscience · 2019Review
- Facing High EEG Signals Variability during Classification Using Fractal Dimension and Different Cutoff Frequencies.Computational intelligence and neuroscience · 2019Article
- Finger Temperature: A Psychophysiological Assessment of the Attentional State.Frontiers in human neuroscience · 2019Article
- Face Perception in Social Anxiety: Visuocortical Dynamics Reveal Propensities for Hypervigilance or Avoidance.Biological psychiatry · 2018Article
- Training in Use of Brain-Machine Interface-Controlled Robotic Hand Improves Accuracy Decoding Two Types of Hand Movements.Frontiers in neuroscience · 2018Article
- A P300-Based Brain-Computer Interface for Improving Attention.Frontiers in human neuroscience · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have witnessed a rapid development of brain-computer interfaces (BCIs) linking the brain to external devices. BCIs can be utilized to treat neurological conditions and even to augment brain functions. BCIs offer a promising treatment for mental disorders, including disorders of attention. Here we review the current state of the art and challenges of attention-based BCIs, with a focus on visual attention. Attention-based BCIs utilize electroencephalograms (EEGs) or other recording techniques to generate neurofeedback, which patients use to improve their attention, a complex cognitive function. Although progress has been made in the studies of neural mechanisms of attention, extraction of attention-related neural signals needed for BCI operations is a difficult problem. To attain good BCI performance, it is important to select the features of neural activity that represent attentional signals. BCI decoding of attention-related activity may be hindered by the presence of different neural signals. Therefore, BCI accuracy can be improved by signal processing algorithms that dissociate signals of interest from irrelevant activities. Notwithstanding recent progress, optimal processing of attentional neural signals remains a fundamental challenge for the development of efficient therapies for disorders of attention.
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.