An empirical EEG analysis in brain death diagnosis for adults.

Electroencephalogram (EEG) is often used in the confirmatory test for brain death diagnosis in clinical practice. Because EEG recording and monitoring is relatively safe for the patients in deep coma, it is believed to be valuable for either reducing the risk of brain death diagnosis (while comparing other tests such as the apnea) or preventing mistaken diagnosis. The objective of this paper is to study several statistical methods for quantitative EEG analysis in order to help bedside or ambulatory monitoring or diagnosis. We apply signal processing and quantitative statistical analysis for the EEG recordings of 32 adult patients. For EEG signal processing, independent component analysis (ICA) was applied to separate the independent source components, followed by Fourier and time-frequency analysis. For quantitative EEG analysis, we apply several statistical complexity measures to the EEG signals and evaluate the differences between two groups of patients: the subjects in deep coma, and the subjects who were categorized as brain death. We report statistically significant differences of quantitative statistics with real-life EEG recordings in such a clinical study, and we also present interpretation and discussions on the preliminary experimental results.

Quantitative analysis of brain optical images with 2D C0 complexity measure.

Optical imaging based on intrinsic signals is a powerful method to visualize the activities of neural assembly in the cortex of animals in vivo, especially the detailed functional architecture of the visual cortex. Here, a new index, two-dimensional (2D) C0 complexity has been used to give a quantitative measure of the spatial pattern of the neural activity in orientation maps optically recorded from the visual cortex of cats globally. Results show that 2D C0 complexity could be employed to reveal the dynamic process of generating an orientation map in the visual cortex, and describe the variance of the neural responses in cortical area 17 under high and normal intraocular pressure. This suggests that 2D C0 could be used as a new quantitative measure for analyzing the intrinsic signal optical images.