The Role of the qEEG in Personalized Photobiomodulation Therapy

The Role of the qEEG in Personalized Photobiomodulation Therapy

At Neuronic, we're dedicated to providing transcranial photobiomodulation (tPBM) devices that empower individuals to enhance their cognitive function, mood regulation, and sleep quality. 

One of the key factors that sets us apart is our emphasis on personalized protocols. While our pre-set protocols offers a range of potential benefits, maximizing those benefits requires understanding your unique brain activity. This is where a quantitative electroencephalogram (qEEG) comes into play.

The electroencephalogram (EEG) is an “efficient and relatively inexpensive method for the study of developmental changes in brain-behavior relations” [1].

This blog post will explore the concept of a qEEG and explain why it is a valuable tool for optimizing your Neuronic tPBM experience.

Understanding brainwaves and their importance

Your brain is a complex network of neurons constantly communicating with each other. These electrical signals generate brainwaves, which can be measured by an electroencephalogram (EEG).  There are five major types of brainwaves, each associated with different brain states and functions:

  • Delta Waves (1-4 Hz): Deep sleep, unconsciousness
  • Theta Waves (4-8 Hz): Daydreaming, meditation, memory
  • Alpha Waves (8-12 Hz): Relaxation, calmness, alertness
  • Beta Waves (12-38 Hz): Focus, concentration, problem-solving
  • Gamma Waves (38 Hz and above): Higher-order cognitive functions, learning, information processing

Credits: Yuan, H. et al. (2017) 

What is a qEEG and how does it work?

A qEEG is a specialized type of EEG that goes beyond simply recording brainwave activity. It’s commonly known as the “window of the mind” [3].

During a qEEG assessment, multiple electrodes are placed on your scalp to capture detailed information about your brainwave patterns. This information is then analyzed using sophisticated software to create a map of your brain's electrical activity.

This map, known as a qEEG brain map, can reveal, among other things:

  • Dominant brainwave frequencies: Are you overly stressed with excessive beta activity, or lacking focus due to low beta levels?
  • Asymmetry: Are there imbalances in activity between the left and right hemispheres?
  • Localization: Where in the brain are specific patterns concentrated?

The power of combining qEEG with tPBM

Neuronic tPBM devices utilize near-infrared light to stimulate specific areas of the brain.  By understanding your unique brainwave patterns through a qEEG, we can tailor your tPBM protocol in several ways:

  • Targeted approach: Based on your qEEG map, we can identify areas of the brain that might benefit most from tPBM therapy. For instance, if your qEEG shows excessive beta activity, we might target areas associated with focus and concentration;
  • Personalized protocols: The duration, frequency, and intensity of your tPBM sessions can be adjusted based on your individual needs. A qEEG can help determine the optimal settings for maximizing your desired outcomes;
  • Monitoring progress: qEEG can be used as a baseline assessment before you begin tPBM therapy. Following a consultation, a follow-up qEEG can reveal changes in brainwave activity, allowing you to track your progress and adjust the protocol if necessary.


An example of a Neuronic client's pre and post-qEEG 


Disclaimer: The information provided in this blog post is for educational purposes only and is not intended as a substitute for professional medical advice. Always consult with a qualified healthcare professional before starting any new program.


  1. Bell, M. A., & Cuevas, K. (2012). Using EEG to Study Cognitive Development: Issues and Practices. Journal of cognition and development : official journal of the Cognitive Development Society, 13(3), 281–294.
  2. Yuan, Hang & Voelcker-Rehage, Claudia & Hübner, Lena & Godde, Ben. (2017). Resting State EEG Classification for Motor Learning Skills Using Echo State Networks. 10.13140/RG.2.2.13507.50726. 
  3. Kučikienė, D., & Praninskienė, R. (2018). The impact of music on the bioelectrical oscillations of the brain. Acta medica Lituanica, 25(2), 101–106.
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