Since I will include many examples of qEEG reports in my next post, here is a brief guide to
interpreting them. This is a very simplified version, and I will upload
the more detailed one in the future. But before even attempting to understand the report, we must discuss common statistic terminology.
Database: Organized collection of data (in this case, brain maps)
Z-score Tables: Tables of data which indicates how many standard deviations an element is away from the mean. Brain map z-scores will display how far away the client's brainwave amplitudes are away from the normal.
Standard Deviation: A measure used to quantify the amount of variation between different elements in a data set. Concerning brain mapping, standard deviations away from the norm will reveal the severity of the problem; more standard deviations away indicates a more severe problem.
Interpreting the qEEG - Introduction
My next post will be about the databases used to create qEEG. Each database
contains files for "normal brains" in each age bracket. Some also
contain norms, or the various forms, of different mental disorders,
which allows for a more accurate diagnosis. By running a client's data
through the norm database, we can determine how much brainwave deviation
there is. The file is converted into a series of colored aerial
diagrams of a head. Each different color represents a certain number of
standard deviations in the brainwave amplitudes in a particular region.
Let's look at some examples. Below is an excerpt from a qEEG that has
ran a client's file through the Neuroguide database.
If
the patient's brainwave levels were normal, the aerial view would be
completely green (0 standard deviations have been deemed green by the
spectrum below the diagram). However, the client seems to have Delta
levels 6 standard deviations below the norm (dark blue), which may cause
anxiety, nervousness, or insomnia. On the other hand, their Theta
levels seem to be relatively normal, with only up to 1.5 standard
deviations away from the norm in the right-frontal lobe. Running a
patient's raw EEG (literally just brainwaves) through the database will
help diagnose their mental disorder. Without the qEEG reports, the area
of deficiency/type of disorder would not be known, which would lead to
very inefficient neurofeedback training.
Tuesday, March 17, 2015
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