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 …

EEG-neurofeedback for optimising performance. I: A review of cognitive and affective outcome in healthy participants

JH Gruzelier - Neuroscience & Biobehavioral Reviews, 2014 - Elsevier
A re-emergence of research on EEG-neurofeedback followed controlled evidence of clinical
benefits and validation of cognitive/affective gains in healthy participants including …

[PDF][PDF] Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)

T Ros, S Enriquez-Geppert, V Zotev, KD Young… - 2020 - academic.oup.com
Consensus on the reporting and experimental design of clinical and cognitive-behavioural
neurofeedback studies (CRED-nf checklis Page 1 UPDATE Consensus on the reporting and …

[PDF][PDF] Computerized Training for Neuroplasticity and Cognitive Improvement.

MA Pappas, AS Drigas - Int. J. Eng. Pedagog., 2019 - researchgate.net
The research area of brain plasticity studies indicates that individuals can train and improve
their cognitive abilities throughout life. In addition, more and more computerized training …

[HTML][HTML] Making the case for mobile cognition: EEG and sports performance

JL Park, MM Fairweather, DI Donaldson - Neuroscience & Biobehavioral …, 2015 - Elsevier
In the high stakes world of International sport even the smallest change in performance can
make the difference between success and failure, leading sports professionals to become …

EEG-neurofeedback for optimising performance. III: a review of methodological and theoretical considerations

JH Gruzelier - Neuroscience & Biobehavioral Reviews, 2014 - Elsevier
In continuing this three-part review on validation of EEG-neurofeedback for optimal
performance evidence is first provided for feedback influences on the CNS, the integration of …

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 …

Learning to modulate one's own brain activity: the effect of spontaneous mental strategies

SE Kober, M Witte, M Ninaus, C Neuper… - Frontiers in human …, 2013 - frontiersin.org
Using neurofeedback (NF), individuals can learn to modulate their own brain activity, in most
cases electroencephalographic (EEG) rhythms. Although a large body of literature reports …

Current progress in real-time functional magnetic resonance-based neurofeedback: Methodological challenges and achievements

C Paret, N Goldway, C Zich, JN Keynan, T Hendler… - NeuroImage, 2019 - Elsevier
Neurofeedback (NF) is a research and clinical technique, characterized by live
demonstration of brain activation to the subject. The technique has become increasingly …

[HTML][HTML] Predictors of neurofeedback training outcome: A systematic review

LA Weber, T Ethofer, AC Ehlis - NeuroImage: Clinical, 2020 - Elsevier
Neurofeedback (NF), a training tool aimed at enhancing neural self-regulation, has been
suggested as a complementary treatment option for neuropsychiatric disorders. Despite its …