Abstract

Object: The purpose of our study was to investigate the microstructural changes of the medial temporal cortex in mild cognitive impairment (MCI) patients with cerebral small vascular disease (cSVD) using diffusion kurtosis imaging (DKI) and to examine whether DKI parameters are correlated with MCI.Method: A total of 82 cSVD patients admitted to the Department of Neurology Beijing Chaoyang Hospital, Capital Medical University, were retrospectively enrolled in this study. The Montreal cognitive assessment scale (MoCA) score was used to assess overall cognitive function. According to the presence or absence of MCI, these patients were divided into an MCI group (n = 48) and a non-MCI group (n = 34). The general clinical data of the two groups were collected and analyzed. The regions of interest (ROIs) in the medial temporal cortex were selected for investigation. The averaged values of DKI parameters were measured in each ROI and compared between the two groups, and the correlations between DKI parameters and MoCA score and between diffusion and kurtosis parameters were examined.Results: Compared to the non-MCI group, MCI patients showed significantly increased mean diffusion (MD) and radial diffusion (RD) and significantly decreased mean kurtosis (MK) in the left hippocampus (P = 0.005, 0.006, 0.002, respectively). In the left hippocampus, fractional anisotropy (FA), MK, radial kurtosis (RK), and kurtosis fractional anisotropy (KFA) showed significantly positive correlations with MoCA score (r = 0.374, 0.37, 0.392, 0.242, respectively, all P < 0.05), while MK and RD were negatively correlated with MoCA score (r = −0.227, −0.255, respectively, both P < 0.05). In the left parahippocampal region, axial kurtosis (AK) and KFA were positively correlated with MoCA score (r = 0.228, 0.282, respectively, both P < 0.05), while RK was positively correlated with MoCA score in the right parahippocampal region (r = 0.231, P < 0.05). Significant correlations of MD with MK, RD with RK, and FA with KFA were observed in the medial temporal cortex (r = −0.254, −0.395, 0.807, respectively, all P < 0.05) but not of axial diffusion (AD) with AK.Conclusion: The DKI technique can be used to observe microstructural changes of the medial temporal cortex in MCI patients with cSVD. The DKI-derived parameters might be a feasible means of evaluating patients with MCI.

Highlights

  • Mild cognitive impairment (MCI) is a condition in which patients demonstrate cognitive impairment with minimal impairment of the instrumental activities of daily living and that does not meet the diagnostic criteria for dementia [1]

  • In the left hippocampal region, flip angle (FA), MK, RK, and KFA were positively correlated with MoCA score (r = 0.374, 0.370, 0.392, and 0.242, respectively, all p < 0.05), while MD and RD were negatively correlated with MoCA score (r = −0.227 and −0.255, respectively, both p < 0.05)

  • Ryu et al found that patients with subjective memory impairment (SMI) exhibited diffusion tensor imaging (DTI) changes in the hippocampal body and olfactory white matter compared to controls [23]

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Summary

Introduction

Mild cognitive impairment (MCI) is a condition in which patients demonstrate cognitive impairment with minimal impairment of the instrumental activities of daily living and that does not meet the diagnostic criteria for dementia [1]. The simplified description of the diffusion process assumed in DTI does not permit complex microstructures to be completely mapped because the cellular components and structures hinder and restrict the diffusion properties of water molecules. These limitations can be partially overcome by DKI, and DKI parameters have been found to be very sensitive in identifying some alterations that characterize many neurological diseases [11, 12]. This study aimed to identify the early microstructural alterations in the medial temporal cortex in MCI patients with cSVD by DKI and further examine the relationship between these parameters and MoCA score, which may provide neuroimaging evidence for the evaluation of MCI patients

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