Assessing traumatic brain injuries using EEG power spectral analysis and instantaneous phase

Although mild traumatic brain injury (mTBI) occurs commonly, little is known about how multiple mTBI incidents accumulate over time to produce serious morbidity or how the extent of injury can be quantified. This work presents a rat model that combines deceleration-induced brain trauma with an implantable EEG system for recording injury-induced changes in brain activity. Specifically, we present an analysis method to assess and quantify mTBI by combining information derived from EEG power spectral analysis and EEG phase shifts. We found that in different frequency bands, the correlation coefficient before the crash was notably different from the same coefficient after the crash. This study shows that EEG analysis can be used as a tool to identify and assess brain related injuries.