We review the aspects that uniquely characterize magnetoencephalography (MEG) among
the techniques available to explore and resolve brain function and dysfunction. While …

Neurofeedback, one of the primary examples of self-regulation, designates a collection of
techniques that train the brain and help to improve its function. Since coming on the scene in …

Abstract fMRI Neurofeedback research employs many different control conditions. Currently,
there is no consensus as to which control condition is best, and the answer depends on …

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 …

Brain-computer interfaces (BCIs) have been explored in the field of neuroengineering to
investigate how the brain can use these systems to control external devices. We review the …

Brain-computer interface (BCI) technology bridges the direct communication between the
brain and machines, unlocking new possibilities for human interaction and rehabilitation …

Brain–computer interface (BCI) has proven to be a useful tool for providing alternative
communication and mobility to patients suffering from nervous system injury. BCI has been …

Background Providing neurofeedback (NF) of motor-related brain activity in a biologically-
relevant and intuitive way could maximize the utility of a brain-computer interface (BCI) for …

Motor imagery (MI) may be effective as an adjunct to physical practice for motor skill
acquisition. For example, MI is emerging as an effective treatment in stroke …

Objective: Understanding the neural processes tied to the adult outcome of childhood
attention deficit hyperactivity disorder (ADHD) could guide novel interventions to improve its …