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 …

In recent years, the scientific community has begun tо explore the efficacy оf an integrated
neurofeedback+ biofeedback approach іn various conditions, both pathological and non …

With brain-computer interfaces (BCIs), people can send information directly from their brains
to computers. People can use BCIs to send messages or commands without moving. In …

Background: Neurofeedback (NFB) is a technique based on the principle of operant
conditioning. It consists of modeling brain activity patterns to those considered to be …

Individuals with severe neuromuscular impairments face many challenges in communication
and manipulation of the environment. Brain-computer interfaces (BCIs) show promise in …

Socio‐behavioral impairments are important characteristics of autism spectrum disorders
(ASD) and MRI‐based studies are pursued to identify a neurobiological basis behind these …

Abstract Mu Rhythm Synchrony Neurofeedback (MRS-NFB) has shown promise in
improving electrophysiological and behavioral deficits in autism spectrum disorder (ASD) …

Individuals with autism and intellectual impairments tend to be excluded from research due
to their difficulties with methodological compliance. This study focuses on using Teaching …

Near-infrared spectroscopy (NIRS), one of the candidates to be used in a neurofeedback
system or brain-computer interface (BCI), measures the brain activity by monitoring the …

Prior studies show that neurofeedback training (NFT) of mu rhythms improves behavior and
EEG mu rhythm suppression during action observation in children with autism spectrum …