ArticleFrontiers in human neuroscience2013
Gamma band activity associated with BCI performance: simultaneous MEG/EEG study.
Article in Frontiers in human neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.
- The effect of brain-computer interface controlled functional electrical stimulation training on rehabilitation of upper limb after stroke: a systematic review and meta-analysis.Frontiers in human neuroscience · 2024Pooled it
- Does transcranial direct current stimulation enhance cognitive performance in Parkinson's disease mild cognitive impairment? An event-related potentials and neuropsychological assessment study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022Trial
- TSFNet: Temporal-Spatial Fusion Network for Hybrid Brain-Computer Interface.Sensors (Basel, Switzerland) · 2025Article
- An enhanced CNN-Bi-transformer based framework for detection of neurological illnesses through neurocardiac data fusion.Scientific reports · 2025Article
- Single-Trial Electroencephalography Discrimination of Real, Regulated, Isometric Wrist Extension and Wrist Flexion.Biomimetics (Basel, Switzerland) · 2025Article
- Mapping and decoding cortical engagement during motor imagery, mental arithmetic, and silent word generation using MEG.Human brain mapping · 2023Article
- Review of public motor imagery and execution datasets in brain-computer interfaces.Frontiers in human neuroscience · 2023Review
- Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training.Frontiers in computational neuroscience · 2023Article
- Dependence of Brain-Computer Interface Control Training on Personality Traits.Doklady. Biochemistry and biophysics · 2022Article
- 2020 International brain-computer interface competition: A review.Frontiers in human neuroscience · 2022Review
- The effect of visual and proprioceptive feedback on sensorimotor rhythms during BCI training.PloS one · 2022Article
- Brain augmentation and neuroscience technologies: current applications, challenges, ethics and future prospects.Frontiers in systems neuroscience · 2022Review
- Brain-Computer Interface: Advancement and Challenges.Sensors (Basel, Switzerland) · 2021Review
- Success of Hand Movement Imagination Depends on Personality Traits, Brain Asymmetry, and Degree of Handedness.Brain sciences · 2021Article
- Handedness effects on motor imagery during kinesthetic and visual-motor conditions.Scientific reports · 2021Article
- Benefits of deep learning classification of continuous noninvasive brain-computer interface control.Journal of neural engineering · 2021Article
- An Open Source-Based BCI Application for Virtual World Tour and Its Usability Evaluation.Frontiers in human neuroscience · 2021Article
- Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns.Entropy (Basel, Switzerland) · 2020Article
- Functional disconnection of associative cortical areas predicts performance during BCI training.NeuroImage · 2020Article
- Induced Gamma-Band Activity during Actual and Imaginary Movements: EEG Analysis.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While brain computer interface (BCI) can be employed with patients and healthy subjects, there are problems that must be resolved before BCI can be useful to the public. In the most popular motor imagery (MI) BCI system, a significant number of target users (called "BCI-Illiterates") cannot modulate their neuronal signals sufficiently to use the BCI system. This causes performance variability among subjects and even among sessions within a subject. The mechanism of such BCI-Illiteracy and possible solutions still remain to be determined. Gamma oscillation is known to be involved in various fundamental brain functions, and may play a role in MI. In this study, we investigated the association of gamma activity with MI performance among subjects. Ten simultaneous MEG/EEG experiments were conducted; MI performance for each was estimated by EEG data, and the gamma activity associated with BCI performance was investigated with MEG data. Our results showed that gamma activity had a high positive correlation with MI performance in the prefrontal area. This trend was also found across sessions within one subject. In conclusion, gamma rhythms generated in the prefrontal area appear to play a critical role in BCI performance.
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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.