Understanding Brain Function Through Data
QEEG Brain Mapping is an advanced assessment used to understand how the brain is functioning and regulating across different regions and networks. It provides a detailed map of brain activity patterns related to attention, regulation, connectivity, and stability.
Based on a Quantitative Electroencephalogram (QEEG), brain mapping applies computational analysis to electrical brain activity. This allows raw EEG data to be converted into structured information that can be examined in terms of frequency, coordination, and stability and correlated with performance and challenges such as neurodiversity challenges, emotional regulation, language processing and more.
A QEEG does not diagnose conditions. Its role is to identify patterns that help guide training in a precise and structured way.
When is Brain Mapping
Used?
QEEG Brain Mapping is used where there is a need to better understand underlying brain function, particularly in cases involving attention and focus, emotional regulation, cognitive performance, or more complex presentations.
It is also used by indiv iduals seeking a structured, non-medication-based approach to understanding and improving brain function.
Pattern Identification and Interpretation
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The QEEG produces a functional map of brain activity, highlighting patterns of regulation, coordination, and stability.
These findings are not interpreted in isolation. They are reviewed alongside clinical history and behavioural presentation to ensure that the patterns identified are understood in context.
The outcome is a structured profile of how the brain is functioning, rather than a diagnostic label.
From Brain Mapping to Training
The purpose of QEEG Brain Mapping is to inform neurofeedback training. Each identified pattern is translated into specific training targets, allowing the programme to be tailored to the individual rather than applied generically. Training focuses on improving regulation, coordination, and stability within the brain, and evolves as patterns change over time.
If you would like to explore whether QEEG Brain Mapping is appropriate for you, you can
arrange a consultation with neuroscientist Rachel Langford
The Assessment Process
The assessment process includes a clinical history, standardised questionnaires, and the QEEG recording. This information is then analysed and reviewed with the client in a dedicated Results session, which forms an integral part of the assessment.
During this session, the clinic's neuroscientist explains the brain map, outlines the patterns identified, and describes how these findings relate to the client's training targets and training plan.
This allows the client to understand, in a clear and systematic way, which aspects of brain regulation will be addressed during training and why.
QEEG Brain Mapping is offered as part of the neurofeedback assessment process at our nctNeurofeedback London clinic.
Research
One of the most researched applications of QEEG concerns attention and executive function. Source-localised high-density EEG has been shown to map ADHD-characteristic theta/beta imbalances to the executive network hubs of the fronto-striatal and posterior parietal regions, providing direct electrophysiological correlates of network dysfunction. Most research has demonstrated that individuals with ADHD exhibit excess frontal theta activity and an elevated frontal theta/beta ratio, with key contributions from Arns et al. (2015), Clarke et al. (2001), and Arns et al. (2008), who also identified low-frequency alpha spikes as a further deviation.
Importantly, QEEG has demonstrated value not only in identifying these patterns but in guiding intervention. Arns et al. (2012) found that QEEG-guided neurofeedback protocols produced a 76% response rate with an effect size of 1.78. This is a notably strong effect size by clinical standards.
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Thatcher, R.W. (2020). Neuropsychiatric Electrophysiology — scientific basis and clinical application of QEEG
Arns, M. et al. (2012). QEEG-guided neurofeedback for ADHD — 76% response rate, effect size 1.78
Arns, M. et al. (2015). Theta/beta ratio as a biomarker in ADHD. Biological Psychiatry
de Brito, M.A. et al. (2022). Neurofeedback and cognitive performance in athletes. Frontiers in Human Neuroscience
Wigton, N. & Krigbaum, G. (2015). Review of QEEG-guided neurofeedback. Journal of Neurotherapy
Hoffman, D.A. et al. (1996). QEEG-guided neurofeedback for TBI
Tinius, T. & Tinius, K. (2000). QEEG-guided neurofeedback for traumatic brain injury
Thatcher, R.W. (2003; 2009; 2010). NeuroGuide normative database documentation
Frequently asked questions
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