A QEEG Activation Methodology That Obtained 100% Accuracy in the Discrimination of Traumatic Brain Injured from Normal and Does the Learning Disabled Show the Brain Injury Pattern?Name : Dr. Kirtley Thornton
Affliation : Professor
University : The Neuroscience center,Charlotte
Country : USA
Previous research has focused on determining whether the quantitative EEG (QEEG) can discriminate a traumatic brain injury (TBI) participant from a normal individual. The research has differed with respect to the critical variables involved in the discrimination task. All the research has limited its approach to the collection of eyes-closed data and most confine themselves to less than 32 Hz. The present research employs four cognitive activation tasks, an eyes-closed task, 19 locations, Spectral Correlation Coefficient (SCC) and phase algorithms in the beta2 frequency range (32–64 Hz), and the relative power of beta2 in six frontal locations to obtain 100% correct identification in original discriminant analysis. In addition, 50 random misclassifications—involving different participants—across the five tasks in a group of 196 subjects were correctly identified as misclassifications. To determine if a learning disability would show a similar pattern to a TBI pattern, a preliminary analysis of a group of 94 normal and learning disability (LD) participants were examined for their QEEG differences. The pattern evident in the analysis for the LD group (decreased coherence and phase alpha) was not the pattern evident in the TBI group, while the TBI pattern of decreased coherence and phase beta2 was not dominant in the LD group.
A method that can obtain 100% accuracy is a valuable aide in the diagnosis of a traumatic brain injury and is a valuable asset to the medical personnel in charge of rendering the diagnosis. It is important, however, that the method and results be further replicated for confirmation. Nevertheless, in the case of a pre-existing concussion the software would not be accurate in the determination of a present concussion. In the sports arena, this problem could be addressed by a baseline evaluation prior to the athletic season. The concern of a pre-existing learning problem appearing as a TBI does not appear to be an issue, according to some preliminary data analysis the author has available. However, the data analysis involved children and the conclusion extrapolated to adults. A sounder basis for the conclusion would be obtained with adolescent and adult learning disabled and an adolescent and adult TBI group.