title: Multimodal MRI in cerebral small vessel disease: its relationship with cognition and sensitivity to change over time.
abstract: OBJECTIVE
  Cerebral small vessel disease is the most common cause of vascular dementia. Interest in using MRI parameters as surrogate markers of disease to assess therapies is increasing. In patients with symptomatic sporadic small vessel disease, we determined which MRI parameters best correlated with cognitive function on cross-sectional analysis and which changed over a period of 1 year.
  
  
  METHODS
  Thirty-five patients with lacunar stroke and leukoaraiosis were recruited. They underwent multimodal MRI (brain volume, fluid-attenuated inversion recovery lesion load, lacunar infarct number, fractional anisotropy, and mean diffusivity from diffusion tensor imaging) and neuropsychological testing. Twenty-seven agreed to reattend for repeat MRI and neuropsychology at 1 year.
  
  
  RESULTS
  An executive function score correlated most strongly with diffusion tensor imaging (fractional anisotropy histogram, r=-0.640, P=0.004) and brain volume (r=0.501, P=0.034). Associations with diffusion tensor imaging were stronger than with all other MRI parameters. On multiple regression of all imaging parameters, a model that contained brain volume and fractional anisotropy, together with age, gender, and premorbid IQ, explained 74% of the variance of the executive function score (P=0.0001). Changes in mean diffusivity and fractional anisotropy were detectable over the 1-year follow-up; in contrast, no change in other MRI parameters was detectable over this time period.
  
  
  CONCLUSIONS
  A multimodal MRI model explains a large proportion of the variation in executive function in cerebral small vessel disease. In particular, diffusion tensor imaging correlates best with executive function and is the most sensitive to change. This supports the use of MRI, in particular diffusion tensor imaging, as a surrogate marker in treatment trials.
authors.affiliation: Centre for Clinical Neuroscience, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK.
authors.forename: Arani
authors.initials: A
authors.lastname: Nitkunan
authors.forename: Tom R
authors.initials: TR
authors.lastname: Barrick
authors.forename: Rebecca A
authors.initials: RA
authors.lastname: Charlton
authors.forename: Chris A
authors.initials: CA
authors.lastname: Clark
authors.forename: Hugh S
authors.initials: HS
authors.lastname: Markus
mesh_terms: D000368:Aged; D001927:Brain Diseases / Q000175:diagnosis / Q000473:pathology; D020520:Brain Infarction / Q000175:diagnosis* / Q000473:pathology; D002545:Brain Ischemia / Q000175:diagnosis* / Q000473:pathology; D015140:Dementia, Vascular / Q000209:etiology; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D049292:Leukoaraiosis / Q000175:diagnosis* / Q000473:pathology; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests; D012044:Regression Analysis; D015203:Reproducibility of Results; D013997:Time Factors