Predictors for cortical gray matter volume in stroke patients with confluent white matter changes

Yun-yun XIONG, Adrian WONG, K. K. Kelvin WONG, Chiu Wing Winnie CHU, Xintao HU, Xiangyan CHEN, Ka Sing Lawrence WONG, T. C. Stephen WONG, Xinfeng LIU, Chung Tong Vincent MOK

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Background and Purpose: Our previous study found that cortical gray matter (cGM) volume predicted vascular cognitive impairment independent of age-related white matter changes (WMC). We aimed to investigate predictors for cGM volume in ischemic stroke patients with confluent WMC. Methods: One-hundred post-stroke patients with confluent WMC were recruited into the study. All volumetric measures were standardized by intracranial volume as volume ratio. Univariate analyses and multivariate linear regression models were used to test relationship of cGM volume with basic demography, vascular risk factors, APOE status, WMC volume (periventricular and deep WMC), infarct measures (volume, number and location) and microbleed (number, presence and location). Results: After controlling for significant variables in the univariate analyses, multivariate linear regression models found that old age (β = − 0.288, p = 0.001), low triglyceride (β = 0.194, p = 0.027), periventricular WMC (PVWMC) (β = − 0.392, p < 0.001) and presence of thalamic microbleed (β = − 0.197, p = 0.041) were independently predictive of less cGM volume ratio. Conclusions: Age, PVWMC and left thalamic microbleed predict less cGM volume. Copyright © 2013 Elsevier B.V. 
Original languageEnglish
Pages (from-to)169-173
JournalJournal of the Neurological Sciences
Issue number1
Publication statusPublished - Mar 2014


Stroke Volume
Linear Models
Multivariate Analysis
Blood Vessels
White Matter
Gray Matter


Xiong, Y., Wong, A., Wong, K., Chu, W. C. W., Hu, X., Chen, X., et al. (2014). Predictors for cortical gray matter volume in stroke patients with confluent white matter changes. Journal of the Neurological Sciences, 338(1/2), 169-173.


  • Brain atrophy
  • Cortical gray matter
  • White matter changes
  • Small vessel disease
  • Microbleed
  • Triglyceride