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The epileptic mechanism is postulated as that an animal's neurons graduallydiminish their inhibition function coupled with enhanced excitation when anepileptic event is approaching. Calcium imaging technique is designed todirectly record brain-wide neurons activity in order to discover the underlyingepileptic mechanism. In this paper, using one brain-wide calcium imaging videoof Zebrafish, we compute dynamic pattern information of the epilepticmechanism, and devise three graphical displays to show the visible functionalaspect of epileptic mechanism over five inter-ictal periods. The foundation ofour data-driven computations for such dynamic patterns relies on one universalphenomenon discovered across 696 informative pixels. This universality is thateach pixel's progressive 5-percentile process oscillates in an irregularfashion at first, but, after the middle point of inter-ictal period, theoscillation is replaced by a steady increasing trend. Such dynamic patterns arecollectively transformed into a visible systemic change-point as an earlywarning signal (EWS) of an incoming epileptic event. We conclude through thegraphic displays that pattern information extracted from the calcium imagingvideo realistically reveals the Zebrafish's authentic epileptic mechanism.

Information of Epileptic Mechanism and its Systemic Change-points in a Zebrafish's Brain-wide Calcium Imaging Video Data