Voxel-based analysis of diffusion tensor imaging in patients with subcortical vascular cognitive impairment:

Sook Hui Kim1, Jun Sung Park, Hyun-Jung Ahn

  • 1Department of Neurology, Konkuk University Hospital, Seoul, Korea.

Abstract

Insights

In small vessel disease, the location of white matter damage, not just its extent, is key to cognitive and motor deficits. Diffusion tensor imaging reveals specific fiber tract disruptions correlating with clinical symptoms.

Area of Science:

  • Neurology
  • Neuroimaging
  • White Matter Diseases

Background:

  • Small vessel disease (SVD) is linked to ischemic changes visible on T2-weighted MRI.
  • Clinical presentation severity in SVD can vary despite similar ischemic burden.

Purpose of the Study:

  • To investigate the clinical correlations of ischemic changes in SVD patients.
  • To utilize voxel-based morphometric analyses of diffusion tensor imaging (DTI) for this investigation.

Main Methods:

  • Included 27 MCI and 34 dementia patients with SVD.
  • Performed neuropsychological tests, motor deficit ratings (PEPS), and 3-Tesla MRI with DTI.
  • Conducted voxel-based analysis of fractional anisotropy and mean diffusivity maps.

Main Results:

  • Cognitive scores correlated with DTI abnormalities in supratentorial areas with regional specificity.
  • Cognitive deficits, including frontal tasks, were linked to posterior white matter integrity disruption.
  • Motor deficits correlated with both supra- and infratentorial lesions.

Conclusions:

  • Specific fiber tract damage distribution, rather than total ischemia severity, better explains clinical deficits in SVD.
  • DTI analysis provides insights into the relationship between white matter integrity and clinical impairments in SVD.

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