The human brain consists of many structures, or so-called functional areas. Each area participates in the implementation of a certain function of the human organism (senses, vision, movements, thinking, etc.). Of course, these areas are not autonomous and are connected to each other, forming a network of brain connections, often called the connectome. Understanding how connectivity varies across nodes is an important step in analysing a network. These connections are of varying strength and importance and have various other important parameters that describe brain activity and its changes under the influence of external events (e.g. stroke, Alzheimer’s disease, dementia and other neurological diseases). It turns out that functional regions and their connections can be represented as vertices and arcs of a graph, and elements of graph theory can be used to analyse such a model. The number of functional areas for graphing can vary and will depend on how detailed the brain structural model is. Previous studies have created a literature review, resulting in a knowledge base, and identified the consequences of injury or damage to each region resulting in different disfunctions. When the brain is affected by a stroke or any other abnormal neurological condition, the functional areas are damaged and the connections between them are altered. Consequently, the model of the brain - the graph, the parameters of its vertices and arcs - also changes. The purpose of this article is to look at what changes occur in the brain graph in order to use the changed model in future studies in the development of a system for predicting possible stroke consequences.