%0 Journal Article
%T Mathematical Model for Stroke and White Matter Hyperintensities
%A James M. Gregory
%J Journal of Behavioral and Brain Science
%P 66-94
%@ 2160-5874
%D 2023
%I Scientific Research Publishing
%R 10.4236/jbbs.2023.134006
%X A mathematical model was developed to predict the risk of having a stroke as a person ages. The age component was derived from the concept that the change in risk of stroke with age is a function of the current risk of developing a stroke. This equation modeled the trend with age reported in the literature for two different data sets with R<sup>2</sup> values of 0.97 or better for both men and women. A second equation of a similar nature was developed to predict the accumulation of white matter hyperintensities, WMH, as a person ages. It appears that each equation includes a set of common risk factors. This set of common risk factors allows an individual¡¯s risk for stroke to be based on measured WMH. A third equation links WMH with the risk of developing a stroke. This equation allows an individual to use measured WMH from brain scans to predict the future risk of developing a stroke. In theory, a person with a relatively high measurement of WMH can project future risk for stroke with age and use counter measures such as exercise and medications to keep other risk factors low as a person continues to age.
%K Stroke
%K White Matter Hyperintensities
%K WMH
%K Aging
%K Depression
%K Trauma
%K PTSD
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=124735