Brain measurement (QEEG)
To gain a deeper understanding of brainwave patterns, we use Quantitative Electroencephalography (QEEG) to analyze EEG data through computer-based calculations. This allows us to compare an individual’s brainwaves with a standardized norm group. By doing so, we can identify certain patterns, such as reduced theta activity, which is commonly seen in ADHD. To enhance its visual appeal, the collected data can be plotted in brain maps, where the color coding represents deviation from the normal range.
The following illustration is a brain map, where the top triangle represents the nose and the circles on the sides indicate the ears. This map displays the distribution of alpha waves over the head, with areas that exhibit a relatively high level of alpha waves appearing in red. The other colors in between represent varying levels of alpha activity. The numbers below the map represent the measurement of microvolts, which is a commonly used unit to express the magnitude of EEG wave deflection.
It’s important to note that the brainwaves are incredibly weak, making it remarkable that we can measure them at all. The measurement of brainwaves requires specialized equipment that has been developed and refined over many decades. The use of microvolts as a unit of measurement acknowledges the delicacy of brainwave activity.
It is challenging to determine the exact level of alpha waves based solely on the brain map. This is why a database is used for comparison purposes. The database contains EEGs from individuals who have no reported complaints or conditions and serves as a reference point for comparison. By comparing an individual’s EEG with those in the database, it becomes possible to assess whether the individual exhibits any typical patterns, such as reduced theta waves in the case of ADHD.
The comparison is represented in the form of a color scale, where blue indicates a low level of brainwaves, green represents an average level, and yellow and red indicate higher levels. The numbers from -3 to 3 represent standard deviations, which is a measure of dispersion or “Z-scores.” In the example shown, the individual has a typical ADHD pattern of reduced theta waves.
At all times, the interpretation of the individual’s QEEG results is made with regards to their reported complaints. This interpretation, combined with our experience, informs the design and implementation of the neurofeedback therapy.
Jeremy informed his teacher that all the teachers at his school have noticed a positive improvement in his performance and behavior. He is motivated, full of energy, and happily shares how much he enjoys school, both in class and at home.
The debilitating symptoms of my focus issues have significantly decreased. I highly recommend neurofeedback to anyone struggling with focus issues. I started my sessions in July and completed around 20 sessions until September, after which I gradually reduced them. The results have been truly transformative.
With neurofeedback, I now sleep deeply, and waking up is a breeze. After several sessions, I even stopped taking my medication. I’ve noticed a significant increase in my energy levels and my ability to tackle daily tasks with ease.