ArticleFrontiers in human neuroscience2017
Beware: Recruitment of Muscle Activity by the EEG-Neurofeedback Trainings of High Frequencies.
Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Reliable electrocortical dynamics of target-directed pass-kicks.Cognitive neurodynamics · 2024Article
- Leveraging Multiple Distinct EEG Training Sessions for Improvement of Spectral-Based Biometric Verification Results.Sensors (Basel, Switzerland) · 2023Article
- 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
- Impact of EEG Frequency Bands and Data Separation on the Performance of Person Verification Employing Neural Networks.Sensors (Basel, Switzerland) · 2022Article
- Improving EEG Muscle Artifact Removal With an EMG Array.IEEE transactions on instrumentation and measurement · 2020Article
- Review of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback.Bosnian journal of basic medical sciences · 2019Review
- EEG-like signals can be synthesized from surface representations of single motor units of facial muscles.Experimental brain research · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
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Abstract
EEG-neurofeedback (NFB) became a very popular method aimed at improving cognitive and behavioral performance. However, the EMG frequency spectrum overlies the higher EEG oscillations and the NFB trainings focusing on these frequencies is hindered by the problem of EMG load in the information fed back to the subjects. In such a complex signal, it is highly probable that the most controllable component will form the basis for operant conditioning. This might cause different effects in the case of various training protocols and therefore needs to be carefully assessed before designing training protocols and algorithms. In the current experiment a group of healthy adults (
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