Whole-brain voxel-based morphometry of white matter in mild cognitive impairment

Zhiqun Wang1, Xiaojuan Guo, Zhigang Qi

  • 1Department of Radiology, Xuanwu Hospital of Capital Medical University, 100053 Beijing, China.

Abstract

Insights

Mild cognitive impairment (MCI) is associated with widespread white matter reduction, particularly in anterior brain regions. This study used voxel-based morphometry to map these changes in MCI patients.

Area of Science:

  • Neuroimaging
  • Neurology
  • Brain Anatomy

Background:

  • Mild cognitive impairment (MCI) is a transitional stage between normal aging and dementia.
  • Understanding white matter alterations in MCI is crucial for early diagnosis and intervention.

Purpose of the Study:

  • To analyze whole-brain white matter changes in individuals with mild cognitive impairment (MCI).
  • To identify specific patterns of white matter reduction in MCI.

Main Methods:

  • Voxel-based morphometry (VBM) was employed on T1-weighted 3D MRI datasets.
  • 14 patients with MCI and 14 healthy controls were studied using a 3T MR system.
  • SPM2 software was utilized for white matter volume map analysis.

Main Results:

  • Voxel-based morphometry revealed significant white matter reduction in MCI patients.
  • Affected areas included bilateral temporal gyrus, right anterior cingulate, bilateral superior/medial frontal gyrus, and right parietal angular gyrus.
  • White matter reduction was more pronounced in anterior brain regions compared to posterior regions.

Conclusions:

  • Voxel-based morphometry effectively detects whole-brain white matter reduction in MCI.
  • The observed distribution of white matter changes aligns with the known pathology of MCI.

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