Analysis of secular variation of the information flow pattern in EEGs of an epileptic patient by Multidimensional directed information analysis

One epilepsy patient's brain waves recorded over several years were investigated using Multidimensional directed information analysis. Multidimensional directed information is one of the causality analysis method of multichannel time series, and can change in fixed quantity considering the causal relationship between time series as "information flow." In this report, aging of the spatial pattern of the information flow is introduced about the electroencephalogram (EEG) of one epilepsy. In this example of investigation, as a result of several years of medical treatment, the spatial pattern of the information flow changed after it was considered that her EEG view was normal. Signs that the spatial pattern of the information flow, on the other hand, showed the tendency similar to the healthy person's pattern with a secular improvement of epilepsy condition were seen.