Neuroimaging predictors of cognitive impairment in confluent white matter lesion: Volumetric analyses of 99 brain regions

Vincent C.T. Mok, Tianming Liu, Wynnie W.M. Lam, Adrian Wong, Xintao Hu, Lei Guo, Xiang Yan Chen, Wai Kwong Tang, Ka Sing Wong, Stephen Wong

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

Background: Although confluent white matter lesion (WML) is associated with cognitive impairment, the mechanism explaining this association is controversial. We aimed to investigate comprehensively the MRI predictors of cognitive impairment in confluent WML. Methods: Among 45 lacunar stroke patients who had confluent WML, we evaluated the association of executive function [Mattis Dementia Rating Scale - Initiation/Perseveration subscale (MDRS I/P)] and global cognition [Mini-Mental State Examination (MMSE)] with the volume of WML, measures of lacunes and microbleeds, and the volumes of 99 other specific brain regions. Results: Regression analyses showed that WML volume predicted performance on the MDRS I/P (β = -0.34, p = 0.016) independent of age. Volumes of cortical gray matter (cGM; β = 0.41, p = 0.003), the lateral fronto-orbital gyrus (β = 0.38, p = 0.01), superior frontal gyrus (β = 0.29, p = 0.04), lateral ventricle (β = -0.30, p = 0.04), and posterior limb of the internal capsule (β = 0.43, p = 0.002) predicted MDRS I/P performance independent of WML volume. Volumes of cGM, and the lateral fronto-orbital gyrus predicted MMSE performance as well. Conclusion: Atrophy along the frontosubcortical pathways and cGM predict cognition in confluent WML independent of WML volume.

Original languageEnglish (US)
Pages (from-to)67-73
Number of pages7
JournalDementia and Geriatric Cognitive Disorders
Volume25
Issue number1
DOIs
StatePublished - Dec 2007

Keywords

  • Cognitive impairment
  • Confluent white matter lesion
  • Neuroimaging predictors

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Geriatrics and Gerontology

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