Microstructural brain abnormalities correlate with neurocognitive dysfunction in minimal hepatic encephalopathy: a diffusion kurtosis imaging study

2019 ◽  
Vol 61 (6) ◽  
pp. 685-694 ◽  
Author(s):  
Jing-Li Li ◽  
Heng Jiang ◽  
Xiao-Dong Zhang ◽  
Li-Xiang Huang ◽  
Shuang-Shuang Xie ◽  
...  
2021 ◽  
pp. 197140092110269
Author(s):  
Prateek Gupta ◽  
Sameer Vyas ◽  
Teddy Salan ◽  
Chirag Jain ◽  
Sunil Taneja ◽  
...  

Background and purposes Minimal hepatic encephalopathy (MHE) has no recognizable clinical symptoms, but patients have cognitive and psychomotor deficits. Hyperammonemia along with neuroinflammation lead to microstructural changes in cerebral parenchyma. Changes at conventional imaging are detected usually at the overt clinical stage, but microstructural alterations by advanced magnetic resonance imaging techniques can be detected at an early stage. Materials and methods Whole brain diffusion kurtosis imaging (DKI) data acquired at 3T was analyzed to investigate microstructural parenchymal changes in 15 patients with MHE and compared with 15 age- and sex-matched controls. DKI parametric maps, namely kurtosis fractional anisotropy (kFA), mean kurtosis (MK), axial kurtosis (AK) and radial kurtosis (RK), were evaluated at 64 white matter (WM) and gray matter (GM) regions of interest (ROIs) in the whole brain and correlated with the psychometric hepatic encephalopathy score (PHES). Results The MHE group showed a decrease in kFA and AK across the whole brain, whereas MK and RK decreased in WM ROIs but increased in several cortical and deep GM ROIs. These alterations were consistent with brain regions involved in cognitive function. Significant moderate to strong correlations (–0.52 to –0.66; 0.56) between RK, MK and kFA kurtosis metrics and PHES were observed. Conclusion DKI parameters show extensive microstructural brain abnormalities in MHE with minor correlation between the severity of tissue damage and psychometric scores.


2019 ◽  
Vol 14 (2) ◽  
pp. 627-638
Author(s):  
Qing Sun ◽  
Wenliang Fan ◽  
Yuan Liu ◽  
Yan Zou ◽  
Natalie Wiseman ◽  
...  

Abstract Cirrhosis is a major public health concern. However, little is known about the neurobiological mechanisms underlying brain microstructure alterations in cirrhotic patients. The purpose of this prospective study was to investigate brain microstructural alterations in cirrhosis with or without minimal hepatic encephalopathy (MHE) and their relationship with patients’ neurocognitive performance and disease duration using voxel-based analysis of diffusion kurtosis imaging (DKI). DKI data were acquired from 30 cirrhotic patients with MHE, 31 patients without MHE (NMHE) and 59 healthy controls. All DKI-derived parametric maps were compared across the three groups to investigate their group differences. Correlation analyses were further performed to assess relationships between altered imaging parameters and clinical data. Voxel-based analysis of DKI data results showed that MHE/NMHE patients had increased radial diffusivity, axial diffusivity (AD) and mean diffusivity in addition to decreased axial kurtosis (AK) and fractional anisotropy of kurtosis in several regions. Compared to controls, these regions were primarily the cingulum, temporal and frontal cortices. The DKI metrics (i.e., AK and AD) were correlated with clinical variables in the two patient groups. In conclusion, DKI is useful for detecting brain microstructural abnormalities in MHE and NMHE patients. Abnormal DKI parameters suggest alterations in brain microstructural complexity in cirrhotic patients, which may contribute to the neurobiological basis of neurocognitive impairment. These results may provide additional information on the pathophysiology of cirrhosis.


2018 ◽  
Vol 66 (3) ◽  
pp. 726 ◽  
Author(s):  
Yu-Chen Chen ◽  
Huiyou Chen ◽  
Liang Jiang ◽  
Hong Zhang ◽  
Ying-Dong Zhang ◽  
...  

2018 ◽  
Vol 73 (6) ◽  
pp. 591.e9-591.e15 ◽  
Author(s):  
Z.F. Xu ◽  
J.S. Sun ◽  
X.H. Zhang ◽  
Y.Y. Feng ◽  
A.Z. Pan ◽  
...  

2013 ◽  
Vol 40 (3) ◽  
pp. 723-729 ◽  
Author(s):  
Chiharu Tamura ◽  
Hiroshi Shinmoto ◽  
Shigeyoshi Soga ◽  
Teppei Okamura ◽  
Hiroki Sato ◽  
...  

Radiology ◽  
2017 ◽  
Vol 284 (1) ◽  
pp. 66-76 ◽  
Author(s):  
Lan Zhu ◽  
Zilai Pan ◽  
Qian Ma ◽  
Wenjie Yang ◽  
Hongyuan Shi ◽  
...  

2018 ◽  
Vol 60 (3) ◽  
pp. 247-254 ◽  
Author(s):  
Yulia Surova ◽  
Markus Nilsson ◽  
Björn Lampinen ◽  
Jimmy Lätt ◽  
Sara Hall ◽  
...  

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