In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …

Introduction This study conducts a bibliometric analysis on neurofeedback research to
assess its current state and potential future developments. Methods It examined 3,626 …

Background/Objectives: The following systematic review integrates neuroimaging
techniques with deep learning approaches concerning emotion detection. It, therefore, aims …

Introduction Interpersonal synchronization involves the alignment of behavioral, affective,
physiological, and brain states during social interactions. It facilitates empathy, emotion …

Neurofeedback using real-time functional MRI (RT-fMRI-NF) is an innovative technique that
allows to voluntarily modulate a targeted brain response and its associated behavior …

Objective. Brain–computer interfaces (BCIs) are emerging as promising cognitive training
tools in neurodevelopmental disorders, as they combine the advantages of traditional …

Excitatory/inhibitory imbalance has been suggested as a neurobiological substrate of the
cognitive symptomatology in Autism Spectrum Disorder (ASD). Studies using magnetic …

Executive functions and motivation have been established as key aspects for neurofeedback
success. However, task-specific influence of cognitive strategies is scarcely explored. In this …

Background Emotions often play a role in neurofeedback (NF) regulation strategies.
However, investigations of the relationship between the induced neuronal changes and …

Neurofeedback allows individuals to monitor and self-regulate their brain activity, potentially
improving human brain function. Beyond the traditional electrophysiological approach using …