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

Yunyun Xiong, Adrian Wong, Kelvin Wong, Winnie C.W. Chu, Xintao Hu, Xiangyan Chen, Ka Sing Wong, Stephen T.C. Wong, Xinfeng Liu, Vincent Mok

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)169-173
Number of pages5
JournalJournal of the Neurological Sciences
Volume338
Issue number1-2
DOIs
StatePublished - Mar 15 2014

Keywords

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

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology

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