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Brain microstructural abnormalities in cirrhotic patients without overt hepatic encephalopathy: A voxel-based diffusional kurtosis imaging study
Hua-Jun Chen1

1Fujian Medical University Union Hospital, Fuzhou, China

Synopsis

Brain microstructural change in cirrhotic patients without overt hepatic encephalopathy: A DKI study

Introduction

Brain morphological abnormalities have been well identified in cirrhotic patients, whose condition concomitantly involves gray matter (GM) and white matter (WM) [1-4]. Diffusion tensor imaging (DTI) is the most frequently used MR diffusion-weighted technique for evaluating cirrhosis-related changes in the cerebral microstructure [3, 5-7]. Notably, all of these previous studies were based on the conventional DTI technique, which assumes the water diffusion to be a Gaussian distribution. As a natural extension of diffusion tensor imaging, the diffusional kurtosis imaging (DKI) method employs multiple b-values to quantify non-Gaussian diffusion by estimating the excess kurtosis of the displacement distribution, in which both standard DTI parameters and kurtosis parameters—including mean kurtosis (MK), axial kurtosis (K∥), and radial kurtosis (K⊥)—could be obtained. Thus, by taking into account the fundamentally non-Gaussian property of water diffusion in biological tissue, DKI can function as a complementary technique to the conventional DTI to more fully depict the characterization of brain tissue microstructure [8-11]. The kurtosis metrics are believed to reflect the heterogeneity of the intra-voxel diffusion environment and are thus indicators of microstructural complexity. Moreover, DKI permits the characterization of microstructural integrity in both GM and WM. Thus, DKI provides an opportunity for not only WM region exploration, as in previous DTI studies, but for whole-brain exploration of microstructural abnormalities in cirrhosis. DKI is thought to exhibit improved sensitivity and specificity in detecting changes in neural tissues [12]. Thus, the goal of the present study was to employ DKI to investigate the changes in both GM and WM microstructure in cirrhotic patients using a voxel-based analysis. The relationship between brain microstructural abnormalities and cognitive performance was also examined.

Methods

Eighteen cirrhotic patients without overt hepatic encephalopathy (HE) and 17 healthy controls underwent diffusion imaging. There were no significant differences between control and patients groups, in terms of age, sex , or education level. Cognition was measured using Psychometric Hepatic Encephalopathy Score (PHES). Whole-brain voxel-based analyses (VBA) were performed to investigate between-group differences in DKI-derived parameters, including MK, K∥, and K⊥. The global GM and WM DKI-metrics were computed for each cirrhotic patient. Spearman correlation analyses were performed to measure the relationships between the DKI variables and cognitive performance in cirrhotic patients

Results

The cirrhotic patients had worse performance in all five PHES subtests and lower PHES score than the healthy controls (-3.3 ± 4.8 vs 0.6 ± 1.6, P = 0.004), indicating cognitive impairments. The cirrhotic patients had significantly lower global MK, K∥, and K⊥ in GM and WM (Figure 1). VBA showed that cirrhotic patients had decreased MK, K∥, and K⊥ in diffuse GM regions (particularly in cingulate cortex, precuneus, insular cortex, frontal areas, basal ganglia, hippocampus/ parahippocampal gyrus, supramarginal gyrus and angular gyrus, postcentral and precentral gyrus, and cerebellum) and WM regions (particularly in corpus callosum, internal capsule, frontal regions, parietal regions, occipital regions, and cerebellum) (Figures 2-3). The correlation analysis showed that the average GM MK (r = 0.474, P = 0.047), K∥(r = 0.470, P = 0.048), and K⊥ (r = 0.495, P = 0.039) were positively correlated with PHES score in cirrhotic patients. Also, the mean WM MK (r = 0.581, P = 0.011), K∥(r = 0.501, P = 0.034), and K⊥ (r = 0.615, P = 0.007) were significantly correlated with PHES score.

Discussion

The DKI parameter, MK, is usually thought to reflect the microstructural complexity of brain tissues (GM microstructural complexity may be associated with dendrites/spines, synaptic pruning/refinement, and cell packing density, while WM microstructural complexity may be associated with myelination, denser axon and fiber bundle packing, refined fiber organization, and axonal membrane permeability [13]). Lower global MK parameter was found in both GM and WM in patients, indicating decreased microstructural complexity. The diffuse reduction of GM and WM microstructural complexity and its relationship with cognitive impairment in cirrhotic patients were revealed by our DKI study, and the results were in line with previous reports [1-3, 7,14-15]. In addition, the reduction of K∥ and K⊥ may indicate the impairment of axon function and myelination in WM related to cirrhosis, repetitively.

Conclusion

The present study outlined whole-brain microstructural abnormalities in cirrhotic patients without overt HE, which were diffusely distributed in both GM and WM regions. Lower diffusional kurtosis parameters suggest decreased brain microstructural complexity in cirrhotic patients. The altered microstructural properties of both GM and WM were correlated with the cognitive performance of patients, suggesting the potential of these metrics to serve as biomarkers for early diagnosis of HE. DKI can provide supplementary information for characterizing brain structural abnormalities in cirrhosis.

Acknowledgements

This work was supported by a grant from the National Natural Science Foundation of China (No. 81501450) and funding from the China Postdoctoral Science Foundation.

References

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Figures

Fig 1. The averaged diffusional kurtosis metrics of global gray matter (GM) and white matter (WM) in two groups. The cirrhotic patients had significantly lower global mean kurtosis, axial kurtosis, and radial kurtosis in both GM and WM, compared to healthy controls.

Fig 2. Brain regions with significantly decreased mean kurtosis in cirrhotic patients: (A) gray matter and (B) white matter. The images overlay on the averaged GM and WM map from all subjects, respectively.

Fig 3. Brain regions with significantly decreased axial kurtosis (A-B) and radial kurtosis (C-D) in cirrhotic patients. A and C indicate gray matter regions, while B and D indicate white matter regions. The images overlay on the averaged GM and WM map from all subjects, respectively.

Proc. Intl. Soc. Mag. Reson. Med. 26 (2018)
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