Neurofeedback
Data-based brain training
A technique called EEG (electroencephalogram) makes the electrical signals in the brain visible in real-time. EEG is a functional neuroimaging technique that has been proven effective in medicine since the 1930s. Electrodes are placed on the scalp for the measurement, making it a particularly gentle and practical method, as it is painless and non-invasive. Special computer software (such as BrainAssistant) analyzes the brainwaves in real-time and converts them into understandable feedback.
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This feedback is based on the principle of operant conditioning. If the trainee manages to activate certain brain areas to produce the desired brain activity, this is rewarded by a positive change in the feedback (e.g., the movie becomes brighter, the music louder). The brain learns through reward and unconsciously tries to recognize the patterns hidden in the feedback to achieve the positive state more and more frequently.
Originally developed for medical applications, including ADHD, depression, and epilepsy, Neurofeedback is now also used for peak performance training, sleep problems, PTSD, and burnout.
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Neurofeedback is like a personal trainer for the brain, helping you unlock your full potential.
Neurofeedback explained as a graphic
The person being trained (left) receives a permanent EEG recording. The frequency bands are analyzed in real time.
Depending on the training goal, for example relaxation or concentration, positive or negative feedback is given depending on the constellation of brain waves.
This happens in the graphic via a small game that reacts to the change of the waves with success (figure floats up) or failure (figure sinks down).
Design of the training
Relaxation training as an example
Goal: Increase alpha amplitude
The trainee shows a high proportion of alpha waves. This is intended during relaxation training, and positive feedback is given for this period.
The user has entered a phase of tension. In a relaxation training this would not be desired - a negative feedback occurs.
The trainee has again managed to generate a higher proportion of alpha waves. In return, there is again a positive feedback. A learning effect is created.
Feedback is transferred in real time to the game on the screen
(Further explanation on our practice website)
