Closed-loop brain training: the science of neurofeedback

R Sitaram, T Ros, L Stoeckel, S Haller… - Nature Reviews …, 2017 - nature.com
Neurofeedback is a psychophysiological procedure in which online feedback of neural
activation is provided to the participant for the purpose of self-regulation. Learning control …

Brain computer interface based applications for training and rehabilitation of students with neurodevelopmental disorders. A literature review

G Papanastasiou, A Drigas, C Skianis, M Lytras - Heliyon, 2020 - cell.com
The aim of this article is to explore a paradigm shift on Brain Computer Interface (BCI)
research, as well as on intervention best practices for training and rehabilitation of students …

[HTML][HTML] Progress in brain computer interface: Challenges and opportunities

S Saha, KA Mamun, K Ahmed, R Mostafa… - Frontiers in systems …, 2021 - frontiersin.org
Brain computer interfaces (BCI) provide a direct communication link between the brain and a
computer or other external devices. They offer an extended degree of freedom either by …

Intra-and inter-subject variability in EEG-based sensorimotor brain computer interface: a review

S Saha, M Baumert - Frontiers in computational neuroscience, 2020 - frontiersin.org
Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit
sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the …

History, evolution and future of big data and analytics: a bibliometric analysis of its relationship to performance in organizations

S Batistič, P van der Laken - British Journal of Management, 2019 - Wiley Online Library
Big data and analytics (BDA) are gaining momentum, particularly in the practitioner world.
Research linking BDA to improved organizational performance seems scarce and widely …

Performance variation in motor imagery brain–computer interface: a brief review

M Ahn, SC Jun - Journal of neuroscience methods, 2015 - Elsevier
Brain–computer interface (BCI) technology has attracted significant attention over recent
decades, and has made remarkable progress. However, BCI still faces a critical hurdle, in …

Neurofeedback for cognitive enhancement and intervention and brain plasticity

C Loriette, C Ziane, SB Hamed - Revue Neurologique, 2021 - Elsevier
In recent years, neurofeedback has been used as a cognitive training tool to improve brain
functions for clinical or recreational purposes. It is based on providing participants with …

Can we predict who will respond to neurofeedback? A review of the inefficacy problem and existing predictors for successful EEG neurofeedback learning

O Alkoby, A Abu-Rmileh, O Shriki, D Todder - Neuroscience, 2018 - Elsevier
Despite the success of neurofeedback treatment in many cases, the variability in the efficacy
of the treatment is high, and some studies report that a significant proportion of subjects …

Flaws in current human training protocols for spontaneous brain-computer interfaces: lessons learned from instructional design

F Lotte, F Larrue, C Mühl - Frontiers in human neuroscience, 2013 - frontiersin.org
While recent research on Brain-Computer Interfaces (BCI) has highlighted their potential for
many applications, they remain barely used outside laboratories. The main reason is their …

The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users

S Perdikis, L Tonin, S Saeedi, C Schneider… - PLoS …, 2018 - journals.plos.org
This work aims at corroborating the importance and efficacy of mutual learning in motor
imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our …