http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202104 zh-cn An RSS feed for Chinese Journal of Magnetic Resonance Imaging http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.001 ^,s disease patients from healthy controls using the synthetic MRI technique. Materials and Methods: Twenty-eight PD patients (age: 67± 11 years) and the same number of healthy controls (age: 68±9 years) were enrolled in this study. All participants underwent synthetic MRI (MAGnetic resonance imaging compilation, MAGiC) acquisition on a 3.0 T MRI scanner (Signa Pioneer, GE Healthcare). Volumetric characteristics including white matter volume (WMV), gray matter volume (GMV), cerebral spinal fluid volume (CSFV), myelin volume (MYV), brain parenchymal volume (BPV), intracranial volume (ICV), white matter fraction (WMF=WMV/BPV), gray matter fraction (GMF=GMV/BPV), myelin fraction (MYF=MYV/BPV) and cerebral spinal fluid fraction (CSFF=CSF/ICV) were acquired. The average relaxometric characteristics including T1, T2 and proton density (PrD) values in WM, GM and CSF were calculated from voxels with partial volume exceeding 95% of the corresponding tissue. Independent-samples t-test was used to assess the difference of the age, volumetric and relaxometric characteristics between two groups. Chi-square test was used to assess the gender difference between two groups. Results: No difference was observed in age (P=0.587) and gender (P=0.181) between these two groups. For volumetry, WMV (515.514±71.213 vs. 461.800±64.816 P=0.005), WMF (43.621±3.788 vs. 40.660±2.844, P=0.002), MYV (162.257±24.928 vs. 144.611±22.575, P=0.008) and MYF (13.707±1.284 vs. 12.711±1.094, P=0.003) were significantly higher while GMF (52.868±3.234 vs. 56.011±2.550, P=0.000) were significantly lower in PD patients. No difference was observed in GMV, BPV, ICV, CSFV and CSFF. For relaxometry, GM T1 value (1604.872±56.038 vs. 1570.553±55.992, P=0.026), WM T1 value (749.786±21.935 vs. 761.379±20.651, P=0.047) were significantly higher while CSF PrD value (101.149±1.327 vs. 101.842±0.972, P=0.030) were significantly lower in PD patients. No difference was observed in CSF T1 value, CSF T2 value, WM T2 value, and WM PrD value. Conclusions: Volumetry and relaxometry simultaneously obtained from synthetic MRI may have potential to be used as quantitative markers for clinic to differentiate Parkinson^,s disease patients among the healthy.]]> Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.002 ^,s disease patients (PD) and healthy control subjects (HC) by using independent component analysis (ICA) and functional network connectivity (FNC) analysis. Materials and Methods: We recruited 30 primary Parkinson^,s disease patients who have enrolled in the department of neurology, the affiliated Hospital of Yangzhou University, and 30 healthy control subjects from January to December 2019, and performed resting state functional imaging scans. The whole brain was divided into 53 independent components (IC) and classified into seven brain networks by GIFT software package. Functional networks of the whole brain were compared by two-sample t-test. The sensorimotor network was divided into 18 IC and classified into six subregions. Functional subregions of the sensorimotor network were compared by two-sample t-test. Ultimately, we evaluated the connectivity intensity and Parkinson^,s Disease Rating Scale (UPDRS-Ⅲ) Scores in PD patients. Results: Compared with HC group, it was found that the connectivity intensity between sensorimotor network and high-level visual network, as well as attention network was decreased in PD group. Within the sensorimotor network, the connectivity intensity between left precentral gyrus and right precentral gyrus, as well as paracentral lobule was decreased, but the connectivity intensity was increased between left precentral gyrus and left postcentral gyrus. Correlation analysis showed that the connectivity intensity between paracentral lobule and left precentral gyrus and left postcentral gyrus was negatively correlated with UPDRS-Ⅲ Score. Conclusions: Compared with the healthy control group, there are connectivity differences between the functional networks of whole brain, and between the subregions of sensorimotor network in Parkinson^,s disease patients. And most of the connectivity intensity in PD patients were weaker than HC. It was suggested that abnormal brain functional connections may be the cause of motor dysfunction in Parkinson^,s disease patients, such as resting tremor, myotonia, bradykinesia and so on.]]> Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.003 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.004 ^,s thyroiditis were larger than that of thyroid cancer cases without Hashimoto^,s thyroiditis. Conclusions: The preoperative multi-parametric MR features have shown satisfactory diagnostic performance in predicting the status of regional lymph nodes in thyroid cancer. In particular, metastatic lymph nodes tend to have heterogeneous signal intensity on fat-suppression T2-weighted imaging, marked enhancement and lower ADC value, which could provide valuable evidence in assisting preoperatively clinical decision-making.]]> Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.005 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.006 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.007 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.008 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.009 ^,s craving for Internet game. Materials andMethods: Participants were classified into two groups according to the Internet game application questionnaire and the Internet game addiction diagnostic scale, a total of 32 participants for IGD group and 33 participants for HC group were recruited. All participants filled out the Internet game craving scale and underwent a resting-state scan in the MRI scanner to obtain accurate brain data. We chose the right superior frontal gyrus (SFG) as the region of interest (ROI), and calculated the rsFC between the right SFG and other brain regions. Then, we compared the differences in the rsFC between IGD group and HC group, and found the brain regions which were significantly different between two groups. After that we analyzed the correlation between the scores of Internet game craving scale and those brain regions of which the rsFC were significant different between the two groups. Results: Compared with HC group, IGD group showed significantly higher levels of craving for Internet game, and IGD group also showed significantly increased rsFC between the SFG and thalamus. In HC group, the rsFC between the SFG and thalamus was positively correlated with the scores of Internet game craving scale (r=0.365, P＜0.05), while this correlation was not found in IGD group (r=-0.286, P=0.119). Conclusions: IGD group maintained a high degree of craving for Internet game. Moreover, the rsFC between the SFG and thalamus was abnormal in IGD group, which means the rsFC was significantly enhanced in IGD group while compared with HC group. In addition, the rsFC between the SFG and thalamus was related to the degree of craving for Internet game in HC group.]]> Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.010 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.011 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.012 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.013 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.016 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.021 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.022 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.023 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.024 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.025 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.026 ^,s disease (AD) is a degenerative disease of the central nervous system characterized by progressive cognitive dysfunction and memory loss. Therefore, NODDI technology can be used to estimate the microstructure of the nervous system of AD patients. The basic principles of NODDI technology and the research progress in AD are reviewed.]]> Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.027 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.028 ^,s ability of daily living, but may develop into dementia in severe cases. The hippocampus is an important brain area for cognitive function. In recent years, MRI technology has been widely used in the study of the hippocampus of patients with cognitive impairment. Therefore, this article reviews the research status of hippocampal MRI neuroimaging of cognitive impairment to understand it^,s latest development. A large number of studies have agreed that the hippocampus is the main brain area affected by cognitive impairment, especially the hippocampal CA1 area. Its functional and structural changes may be important neuroimaging markers for cognitive impairment. Compared with structural changes, functional changes may be more sensitive to the detection of cognitive impairment.]]> Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.029 ^,t detect the change of micro-structure. The nerve ophthalmology examination also has certain limitation that it can^,t detect the change of rear pathway and have a little subjectivity. Recently, with the development of MRI, DWI-MRI and BOLD-fMRI are becoming more and more mature. Studies of DWI-MRI and BOLD-fMRI in visual pathway diseases is increasing. This article mainly describes the study of DWI-MRI and BOLD-fMRI in visual pathway diseases.]]> Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.030 Tue,20 Apr 2021 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2021.04.031 Tue,20 Apr 2021 00:00:00 GMT