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Updated: Aug 27, 2025
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
The microstructural abnormalities of cingulum was related to patients with mild cognitive impairment: a diffusion
Yueyang Liu1, Dongtao Liu2, Mingyong Liu3
1Department of Neurology, Civil Aviation General Hospital, Beijing, China.
Objective:
Our study aimed to investigate the correlations between microstructural changes of cingulum and patients with mild cognitive impairment (MCI) by diffusion kurtosis imaging (DKI) technique.
Method:
A total of 104 patients with cerebral small vessel diseases (cSVD) were retrospectively enrolled in this study. According to Montreal Cognitive Assessment Scale (MoCA) scores, these patients were divided into MCI group (n = 59) and non-MCI group (n = 45). The general clinical data was collected and analyzed. The regions of interests (ROIs) were selected for investigation in cingulum. The values of DKI parameters were measured in each ROI and compared between the two groups, the correlations between DKI parameters and MoCA scores were examined.
Results:
Compared to non-MCI group, MCI patients had more severe white matter hyperintensities (WMHs) (P = 0.038) and lower MoCA scores (P < 0.01). MCI patients showed significantly decreased fractional anisotropy (FA), axial kurtosis (AK), mean kurtosis (MK), radial kurtosis (RK), and kurtosis fractional anisotropy (KFA) in the left cingulum in the cingulated cortex (CgC) region (all P < 0.0125). In the left CgC region, FA, AK, MK, RK, and KFA were positively correlated with MoCA scores (r = 0.348, 0.409, 0.310, 0.441, 0.422, all P < 0.001). Meanwhile, FA, AK, MK, RK, and KFA were also positively correlated with MoCA scores (r = 0.338, 0.352, 0.289, 0.380, 0.370, all P < 0.001) in the right CgC region.
Conclusion:
DKI technique could be used to explore the microstructural changes of cingulum in MCI patients and DKI-derived parameters might be feasible to evaluate MCI patients.
Insights
Diffusion kurtosis imaging (DKI) reveals microstructural changes in the cingulum of patients with mild cognitive impairment (MCI). DKI-derived parameters show potential for evaluating MCI in cerebral small vessel disease patients.
Area of Science:
- Neuroimaging
- Radiology
- Neurology
Background:
- Cerebral small vessel disease (cSVD) is associated with cognitive decline.
- Mild cognitive impairment (MCI) is a transitional stage between normal aging and dementia.
- Investigating microstructural changes in the cingulum may provide insights into MCI pathogenesis.
Purpose of the Study:
- To investigate the correlations between microstructural changes of the cingulum and MCI using diffusion kurtosis imaging (DKI).
- To assess the feasibility of DKI-derived parameters for evaluating MCI in cSVD patients.
Main Methods:
- Retrospective analysis of 104 cSVD patients, divided into MCI (n=59) and non-MCI (n=45) groups based on MoCA scores.
- Regions of interest (ROIs) were selected in the cingulum.
- DKI parameters (FA, AK, MK, RK, KFA) were measured and compared between groups.
- Correlations between DKI parameters and MoCA scores were examined.
Main Results:
- MCI patients exhibited more severe white matter hyperintensities and lower MoCA scores than the non-MCI group.
- Significantly decreased fractional anisotropy (FA), axial kurtosis (AK), mean kurtosis (MK), radial kurtosis (RK), and kurtosis fractional anisotropy (KFA) were observed in the left cingulum of MCI patients.
- These DKI parameters in both left and right cingulum regions positively correlated with MoCA scores.
Conclusions:
- DKI is a valuable technique for exploring cingulum microstructural changes in MCI patients.
- DKI-derived parameters show promise for the evaluation of MCI in cSVD patients.
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