Nonlinear changes in brain's response in the event of injury as detected by adaptive coherence estimation of evoked potentials.
Injury-related changes in evoked potentials are studied with the aid of the coherence function, which effectively measures the degree of linear association between a pair of signals recorded during normal and abnormal states of the brain. The performance of an adaptive algorithm for estimating coherence function is studied, and the effects of additive noise on the estimated coherence function is discussed. Further, a linearity index is formulated and, through analysis and simulations, the index is shown to respond in a predictable manner to increasing nonlinearity while maintaining the robustness to the observation noise. Somatosensory evoked potentials are shown to be sensitive to injury resulting from acute cerebral hypoxia. We analyze the somatosensory evoked potentials recorded from anesthetized cats during inhalation of 8-9% oxygen gas mixtures and during recovery with 100% oxygen. Analyses of the experimental data show a very sharp drop in the magnitude coherence estimates during hypoxic injury and a corresponding rapid decline in the linearity index at the very early stages of the hypoxic injury. Thus, injury may lead to nonlinearities in the electrical response of the brain, and such measurements analyzed by the adaptive coherence estimation method may be used for diagnostic purposes.
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205.
N V
NV
Thakor
X
X
Kong
D F
DF
Hanley
D000465:Algorithms; D000818:Animals; D002415:Cats; D003198:Computer Simulation; D005073:Evoked Potentials, Somatosensory; D002534:Hypoxia, Brain / Q000175:diagnosis*; D008954:Models, Biological; D008991:Monitoring, Physiologic; D017711:Nonlinear Dynamics