Images of the QEEG
After completion of the QEEG the data is analyzed and interpreted. Due to the complexity of the interpretation process it is necessary for the clinician to participate in extensive training and supervised experience to be qualified to offer this service. Currently Midwest Neurofitness utilizes interpretive services for the QEEG.
Maps, Tables, and Z scores
The data is presented in two formats; graphically in the form of 'brain maps' and numerically in tables. Both formats use color to represent the statistical analysis of the data. The data analysis produces Z scores. Z scores indicate how much a measure deviates from the average value or 'norm'.
For example the average IQ is 100. An individual's IQ score can be reported in a Z score indicating how much the person's score is above or below 100. The Z score for an IQ of 115 is +1. For clinical purposes Z scores more than (+ or -) 2 are typically considered statistically significant.
The table below represents the data analysis evaluating the amount of activity measured in different frequency bandwidths at the 19 electrode sites. Comparison to a normative database reveals how those measures compare to the EEG of the 'normal' population. Those areas exhibiting a statistically significant excess or deficit of activity are displayed in red or blue respectively.
The same analysis is also presented in brain maps. The Z scores are represented in different colors to distinguish those areas exhibiting larger deviations.
Relative power refers to the distribution or proportion of activity across the frequency spectrum.
Low Resolution Brain Electromagnetic Tomography-Loreta
Absolute and relative power can both used in the Loreta. The Loreta's 3-D analysis can identify and locate disruptions in brain function within the interior of the brain.The influences on the EEG of stroke, tumors, and other lesions can be assessed by the Loreta.
Connectivity is measured by examining the similarity between patterns of activity across bandwidths. Areas of the brain must work together effectively for optimal function.
Discriminant Analysis-Traumatic Brain Injury
The TBI discriminant analysis provides a measure of probability and severity of head injury. This analysis has been accepted as evidence in court proceedings.
Discriminant Analysis-Learning Disabilities
This analysis identifies the probability of learning disabilities. Combined with of QEEG measures the characteristics of the learning disabilities (reading, math, memory, etc.) can often be identified.