Dysfunction of this cognitive-control network has previously been implicated in a range of brain disorders including attention deficit hyperactivity disorder, schizophrenia, depression, and post-traumatic stress disorder.
During neurofeedback, users learn to control their own brain activity with the help of a brain-sensing device. In the simplest case, this consists of a computer that records brainwaves through surface sensors on the scalp, known as an EEG (electroencephalogram).
The system is then able to process and simultaneously represent a user’s real-time brain activity, displayed from moment-to-moment during a training game on a computer. This setup is known as a neurofeedback loop, because information on brain activity is continually fed-back to a user.
Such real-time feedback allows users to reproduce distinct brain states under physiologically normal conditions, promising to be an innovative way to foster brain changes without adverse effects. This is possible because of neuroplasticity, a natural property of the brain that enables it to reorganize after continual training, resulting from adjustments to its own activity.
“The effects we observed were durable enough to be detected with functional MRI up to 30 minutes after a session of neurofeedback, which allowed us to compare brain and behavioral measures more closely in time,” says Tomas Ros, PhD, lead author of the study, now at University of Geneva.
“We were excited to find that increased metabolic coupling within a key cognitive network was reflected in the individual level of brainwave change provoked by neurofeedback. The same measures were found to be tightly correlated with reductions in mind-wandering during an attention task.
Amazingly, this would imply that the brain’s function may be entrained in a direction that is more attentive and quiet. In other words, our findings speak for the exquisite functional plasticity of the adult brain, whose past activity of little more than 30 minutes ago can condition its future state of processing. This has already been hinted at in meditation research, but we arrived at a direct and explicit demonstration by harnessing a brain-computer interface.”
Senior author Dr. Ruth Lanius, a professor in the Department of Psychiatry at Western’s Schulich School of Medicine & Dentistry and a scientist with Lawson Health Research Institute adds: “Compared to the lack of significant findings in the control group that received training with false feedback, our findings are unambiguously supportive of a direct and plastic impact of neurofeedback on a central cognitive-control network, suggesting a promising basis for its use to treat cognitive disorders.