Purpose of Quantitative EEG 

Quantitative EEG analysis is a powerful tool in the differential diagnosis of mental health conditions as well as brain dysfunction. Students and professionals in many health-related disciplines are seeking a knowledge base and practical application in EEG and qEEG to enhance detection of mild Traumatic Brain Injury (mTBI), psychiatric disorders like ADHD, depression, and anxiety, autism, migraine headache, post-stroke syndromes, epilepsy, sleep disorders, mild cognitive impairment with aging, early onset dementia, occult cerebrovascular disease and more. Sports-related optimization of performance is another area of growing interest for qEEG applications.

qEEG solutions offer deep insights into brain function by measuring and analyzing EEG activity on 19 locations. By quantifying EEG activity in different brain areas, the activity in these areas and their interaction can be shown, both numerically and visualized with color coded maps. The EEG and the derived qEEG information can be interpreted and used as a clinical tool to evaluate brain function, and to track the changes in brain function due to various interventions such as neurofeedback.

qEEG data can also be compared to different qEEG databases and used as an assessment and prognostic tool and is also used for training. Brain mapping is a set of neuroscience techniques predicated on the mapping of quantities or properties onto spatial representations of the brain, which results in maps. One of the simplest forms of quantitative EEG is a spectral analysis. Most often qEEG refers to a recording and quantification of 19 or more positions, often through special EEG Caps. It can provide an overview of the dynamic changes that take place throughout the brain during cognitive processing tasks. This novel approach can be used to assist us in determining which areas of the brain are engaging and processing efficiently or not. To get a full physiological view and insights in mind-body interaction, true power lies in combining qEEG with other physiological signals such as Heart Rate Variability (HRV) and Skin Conductance (SC/GSR).

👉 Real-time feedback on full brain functioning

👉 Evaluate dysfunctional patterns

👉 Creating awareness of physiological processes

👉 Assessment and prognostic tool for training

👉 Non-pharmacological and non-invasive solution