Methodology for Discriminating Concussion Subjects from Normal Subjects by Identifying and Using QEEG correlates of concussion across 4 cognitive tasks and eyes closed condition.
Previous patents and research have focused on the problem of determining whether the quantitative EEG (QEEG) can discriminate a traumatic brain injury (TBI) subject from a normal individual. The patents and research have had varying degree of specificity in defining the variables involved in obtaining a high degree of discriminant ability. However, all research has limited its approach to the collection of eyes closed data and most confine themselves to under 32 Hertz. The present patent employs 4 cognitive activation tasks, an eyes closed task, 19 locations, the high frequency 32-64 Hz range (Spectral Correlation Coefficient (SCC) and phase algorithms) and frontal relative power of beta2 (32-64 Hz) to obtain 100% correct identification in a group of over 195 subjects (normal and traumatic brain injured (TBI)) across the 4 cognitive activation tasks and eyes closed condition. The approach is validated on a sample of 50 misclassified participants which the discriminant correctly identifies as misclassified.
