Methodology for Discriminating Concussion Subjects from Normal Subjects by Identifying and Using QEEG correlates of concussion across 4 cognitive tasks.
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 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 task and was successful in correct identification of 50 participants randomly misclassified as normal or brain injured across the five tasks (10 per task).
