Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

In February of 2012, the first international conference on real time functional magnetic
resonance imaging (rtfMRI) neurofeedback was held at the Swiss Federal Institute of …

Neurofeedback relying on functional magnetic resonance imaging (fMRI-nf) heralds new
prospects for self-regulating brain and behavior. Here we provide the first comprehensive …

If an individual can learn to directly control activation of localized regions within the brain,
this approach might provide control over the neurophysiological mechanisms that mediate …

Excessively devaluing delayed reinforcers co‐occurs with a wide variety of clinical
conditions such as drug dependence, obesity, and excessive gambling. If excessive delay …

An increasing number of studies using real-time fMRI neurofeedback have demonstrated
that successful regulation of neural activity is possible in various brain regions. Since these …

Real-time fMRI (rtfMRI) allows immediate access to experimental results by analyzing data
as fast as they are acquired. It was devised soon after the inception of fMRI and has …

The promise of a new generation of therapies targeted to address neurobiological
mechanisms thought to underlie psychological disorders, particularly depression, using …

Real-time functional magnetic resonance imaging (rtfMRI) with neurofeedback allows
investigation of human brain neuroplastic changes that arise as subjects learn to modulate …

A brain-computer interface (BCI) based on functional magnetic resonance imaging (fMRI)
records noninvasively activity of the entire brain with a high spatial resolution. We present a …