Correlations Between the Microstructural Changes of the Medial Temporal Cortex and Mild Cognitive Impairment in

Dongtao Liu1, Kun Li2, Xiangke Ma3

  • 1Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Frontiers in Neurology
|February 4, 2020
PubMed

Insights

Diffusion kurtosis imaging (DKI) reveals microstructural changes in the medial temporal cortex of mild cognitive impairment (MCI) patients with cerebral small vascular disease (cSVD). DKI parameters show correlations with cognitive function, suggesting potential for evaluating MCI patients.

Area of Science:

  • Neuroimaging
  • Radiology
  • Neurology

Background:

  • Cerebral small vascular disease (cSVD) is associated with cognitive impairment.
  • Mild cognitive impairment (MCI) affects memory and other cognitive functions.
  • Medial temporal cortex structures are crucial for memory and are affected in MCI.

Purpose of the Study:

  • To investigate microstructural changes in the medial temporal cortex of MCI patients with cSVD using diffusion kurtosis imaging (DKI).
  • To determine the correlation between DKI parameters and cognitive function (MoCA score) in cSVD patients.
  • To explore the relationship between different DKI-derived diffusion and kurtosis parameters.

Main Methods:

  • Retrospective analysis of 82 cSVD patients, divided into MCI (n=48) and non-MCI (n=34) groups.
  • Regions of interest (ROIs) in the medial temporal cortex were analyzed using DKI.
  • Comparison of DKI parameters (MD, RD, MK, FA, RK, KFA, AD, AK) between groups and correlation with MoCA scores.

Main Results:

  • MCI patients exhibited increased mean diffusion (MD) and radial diffusion (RD), and decreased mean kurtosis (MK) in the left hippocampus.
  • Several DKI parameters (FA, MK, RK, KFA) positively correlated with MoCA scores in the left hippocampus, while MK and RD showed negative correlations.
  • Correlations between diffusion and kurtosis parameters (MD-MK, RD-RK, FA-KFA) were observed in the medial temporal cortex.

Conclusions:

  • DKI is effective in detecting microstructural alterations in the medial temporal cortex of MCI patients with cSVD.
  • DKI-derived parameters show promise as biomarkers for evaluating cognitive function in MCI patients.
  • The study highlights the utility of advanced neuroimaging techniques in understanding the pathophysiology of MCI in the context of cSVD.