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The development of the Othmer Method - Neurofeedback in its most advanced form

03. February 2021

The following text is a short excerpt from the whitepaper

Author: Kerstin Segler
collaboration and support: PD Dr. rer. nat. Meike Wiedemann, Svenja Reiniger M.A.
Original text in German: "Die Entwicklung der Othmer-Methode - Neurofeedback in seiner modernsten Form"
English proofreading: Helen McManus

This is copyrighted material. You will find the entire text at the end of this article as a pdf file and are welcome to download it for your own reading. Duplication, linking or other use of the text or parts of it is not possible.

The Development of the Othmer Method
Neurofeedback in its most advanced form


Neurofeedback has evolved significantly since its discovery in the 1960s, with the growth of entirely new forms of application, as well as an increase in opportunities for use. The so-called ILF neurofeedback, often referred to as the Othmer method, is of outstanding importance because its development has been initiated by the US Scientists Siegfried and Susan Othmer and has been in continuous development for decades. The following article describes the origin of this method from the classical beta/SMR neurofeedback, its change to an effective individual neurofeedback approach, and how this development was systematically driven by the Othmers’ commitment.


n>Anyone discussing neurofeedback should specify which method they are referring to. There are many different methods currently in use which have all evolved from the same root, but have developed in quite different directions.


The origin of neurofeedback

Before the potential of neurofeedback was discovered, it was a purely diagnostic tool to measure and analyse cerebral waves via the EEG. The American psychologist Barry Sterman recorded EEGs to study the activity of the brain in various sleep phases in cats. At some point he discovered a unique pattern in the EEG of these test animals. This ranged from 12 to 15 Hertz and was similar to ‘sleep spindles’, which typically appear while falling asleep. These spindles indicate the brain’s ability to suppress alertness and sensation of external stimuli in order to stabilise and enter deeper phases of sleep. But actually, the cats in Sternman’s experiment were not sleeping. They were relaxed but fully awake, conscious and attentive to external stimuli.

Sterman referred to the discovery of this pattern as ‘sensorimotor rhythm’ (SMR), named after the area on the cerebral cortex where he recorded it using electrodes. He then tried to see if the cats could be trained to produce more of this specific pattern intentionally, using a training that followed an operational conditioning procedure. Whenever SMR appeared in the EEG, the animals were rewarded with food. This approach was in fact successful: the frequency of the SMR increased as well as the associated state of relaxed consciousness. This was the first time that cerebral waves were used to influence the behavior of a living organism.

Initially these findings were not linked to therapeutic use, but by coincidence that soon changed. Barry Sterman experimented with the cats on behalf of NASA to investigate potentially harmful effects of a new rocket fuel on living organisms. Almost all cats suffered an epileptic seizure within a small period of time after being exposed to a certain dose of the fuel chemical — only one group of cats responded differently: epileptic seizures either did not occur at all or there was a time delay to exhibiting a seizure. Those cats were the very same ones which had previously been trained to produce more SMR rhythms. An employee in Sterman’s laboratory was particularly fascinated by this result because of her own clinical history of epileptic seizures which did not respond to medication at all. So she agreed to an experiment, in which her brain was conditioned to produce more specific brain activity and to reach SMR state intentionally. In fact, this significantly reduced the number of her seizures. This self-testing was the first time that neurofeedback was clinically applied to human beings.

Shortly after this successful experiment with Sterman’s employee, more patients with epilepsy were treated with the revolutionary procedure and even more beneficial effects were observed: improved sleep problems, reduction in hyperactive behavior and better ability to focus and concentrate were reported by the subjects. Following this, insomnia and ADHD became additional important indications for neurofeedback training. One pioneer of early research in this area was Joel Lubar, a staff member from Sterman’s Laboratory, who subsequently did a lot of great research on neurofeedback in ADHD.

The Frequency Band Training

The process discovered by Barry Sterman is one of what is called today ‘Classical Frequency Band Training’. The electrical waves of cerebral activity seen in the EEG can be divided into six groups, the so-called frequency bands. One of these is Sterman’s SMR, while there are five further frequency bands (see box). Dominant frequency patterns seen in the EEG can be used to estimate the brain’s level of vigilance, as specific arousal levels are associated with frequency bands.

The first neurofeedback applications were primarily just SMR training, but soon developed into beta/SMR training. Clients train to produce fewer frequencies associated with inattentiveness (Theta) and tension (High-Beta) in the EEG. Simultaneously they train to produce more SMR and (Low) Beta Frequencies.

The goal is to enter a relaxed but attentive, focused and aware state and to intensify this state. The feedback reward to clients for showing specific frequencies, is usually a pleasant sound or the appearance of a positive reward symbol. If amplitudes of unwanted frequencies increase, this reward is withdrawn or even replaced by an unpleasant warning sound as an inhibit marker.

Classical Frequency Band Training is based on prescribed rules.  For example which frequencies are inhibited or rewarded is determined prior to the training, on the basis of theoretical considerations. This could be compared to not being able to set equipment in the gym to one’s individual physical conditions but to operate all the machines with the same predetermined weights and adjustments for everyone. This also applies to SCP training (see box), another form of neurofeedback developed alongside German universities and being used with good success in the treatment of epilepsy and AD(H)D. *SCP training is therefore another prescriptive procedure. 

The evolution of the Othmer method

Frequency Band Training as a prescriptive method, is grounded on the assumption that there are specific desirable as well as undesirable frequencies in the brain’s activity during? cognitive skills training. The definition of those inhibit and reward frequencies are based on theoretical or statistical considerations on what should be the “norm” in the brain’s activity.  At first there was little reason to question those theoretical considerations, especially as impressive results could be achieved with the beta/SMR training. Nowadays, such general definitions on one individual’s brain activity can be doubted - because we are familiar with the concept of neuroplasticity which was not well-known back then.

Dr Siegfried Othmer and his wife Susan Othmer came into contact with neurofeedback as a powerful therapy option for their son – who was autistic - and became enthusiastic about the method. As a neuroscientist, Susan Othmer had an immediate professional interest in neurofeedback — and her husband Siegfried Othmer, a physicist – was the perfect complement for developing solutions for technical requirements. Together they started their own neurofeedback development institution (EEG Spectrum Inc.) in the mid-80s in Los Angeles, which later expanded to include a clinic and the name was changed to EEG Institute.

The Othmers worked with the beta/SMR training first, but they soon developed the first improvement in the procedure. They decided to no longer simply reward exceeding a single threshold level, but to work with the dynamic of the reward frequency band. The clients were now given feedback of their brain activity from an animation in which a bar moved up or down. The bar represents the proportion of Beta/SMR frequencies in the Frequency Bands recorded from the EEG.

Working with dynamic feedback has been made possible by advances in computer technology, which, moreover, could increasingly reflect the EEG signals in ‘real time’, with almost no  delay. Using the dynamic of reward frequency bands as a feedback signal marked the first of many subsequent shifts away from the initial explanatory model because this neurofeedback was no longer based on operant conditioning.


For further reading plaese find here the complete whitepaper "The Development of the Othmer Method. Neurofeedback in its most advanced form"