Effects of stroke on EEG originating from changes on brain tissue electrical activity and geometry

Abstract

Stroke is the second leading cause of death in the world. Therefore, new and improved diagnosis or treatment methods need to be developed. Nowadays, diagnosis of the stroke is made by using magnetic resonance imaging or computed topography scan. Both methods have an excellent localization and recognition ability, but they are not 100% accurate. In some cases, these imaging methods are able to detect the brain defect within hours or days, based on how bad the injury is. Also, they cannot provide in-line follow up of the patient condition.

In this thesis, effects of stroke on electroencephalography (EEG) is evaluated by searching subject related articles from several databases such as Google Scholar and Andor. Background from brain electrical activity, EEG, stroke and its subtypes are given. There are several clinical researches considering on changes on EEG during stroke. However, in most of the cases there were only few patients involved in the study. Therefore, more research must be done, so that the relationship between EEG changes and stroke could be fully understood. Several studies suggest that EEG would add crucial value to the early diagnosis of stroke in the future.