Quantitative Electroencephalograph Brain Mapping Assessment
Quantitative Electroencephalograph (QEEG) is a non-invasive less than 1 hour assessment which records multi-channel EEG event-related potentials (ERPs) and a comprehensive multi-dimensional analysis of such recordings by advanced algorithms, aimed at understanding and visualizing the network complexity of brain function. Assesses the similarity to normal function can display an understanding of dysfunction, disease progression and response to therapeutic interventions in a large variety of neurologic, psychiatric and behavioral conditions. QEEGs use algorithms and sets of signal processing and pattern recognition techniques to seek and map activated neural pathways in task-related data points with respect to time, location, amplitude and frequency. By projecting the individual data points into clusters, they reveal three-dimensional images of brain network activation patterns which represent high resolution functional neural pathways. These brain network patterns and scores can aid clinicians with profiling of brain functionality in comparison to the reference brain network model to assess similarity to the normal average brain functioning. Measuring changes in functionality and/or dysfunctionality can potentially assist follow-up of changes in disease progression. When combined with data supplied from information from self reported and observed cognitive and behavior patterns clarity with respect to brain processes and determination of a medical condition (Brain Network Activation, 2017)
Traditional imaging modalities such as CT, MRI, PET and SPECT scans are providing us with information on brain anatomy, metabolism, energy consumption and blood flow but not on the functional brain components such as memory, attention, pain or depression. Other functional assessment methods – including clinical assessment and neurocognitive tools – do not allow us to quantify how these underlying networks are performing, revealing only clinical effects and symptoms. QEEG testing allows medical professionals to objectively measure and assess how these networks are related to specific functions and compared to a normative group, both before injury or illness, during a disease progression and after treatment has begun (Brain Network Activation, 2017).