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Habes, M., Erus, G., Toledo, J.B., Zhang, T., Bryan, N., Launer, L.J., Rosseel, Y., Janowitz, D., Doshi, J., Van der Auwera, S., von Sarnowski, B., Hegenscheid, K., Hosten, N., Homuth, G., Volzke, H., Schminke, U., Hoffmann, W., Grabe, H.J. and Davatzikos, C. (2016) White Matter Hyperintensities and Imaging Patterns of Brain Ageing in the General Population. Brain, 139, 1164-1179.
https://doi.org/10.1093/brain/aww008

has been cited by the following article:

• TITLE: Mathematical Model for Stroke and White Matter Hyperintensities

  AUTHORS: James M. Gregory

  KEYWORDS: Stroke, White Matter Hyperintensities, WMH, Aging, Depression, Trauma, PTSD

  JOURNAL NAME: Journal of Behavioral and Brain Science, Vol.13 No.4, April 30, 2023

  ABSTRACT: 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 R2 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.