Objective To observe the value of MR vessel wall imaging(VMI)for predicting instability status of intracranial aneurysm(IA).Methods MR angiography(MRA)and vascular wall imaging(VWI)data of 506 patients with single IA were retrospectively analyzed.Asymptomatic IA was included in stable status group(n=349),while those with enlargement during follow-up or threatened rupture symptoms were taken as instable status group(n=157).The patients were divided into training set(n=354)and validation set(n=152)at a ratio of 7:3.The least absolute shrinkage and selection operator(LASSO)and multivariate logistic regression were performed to screen risk factors associated with IA instability based on clinical data,MRA and VWI manifestations.Then model 1 was constructed based the above indexes,while model 2 was established based only on MRA manifestations of IA.The receiver operating characteristic curve was plotted,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting IA instability.Results LASSO and multivariate logistic regression showed that female patient,age＜50 years with history of cerebral infarction and IA wall enhancement on MRA were all independent predictors of IA instability status.The AUC of model 1 for predicting instability status of IA was 0.733 and 0.742 in training set and validation set,respectively,both higher than that of model 2(0.593 and 0.609,both P＜0.05).Conclusion MR VWI was helpful for predicting IA instability status.

Objective To observe the value of MR vessel wall imaging(VMI)for predicting instability status of intracranial aneurysm(IA).Methods MR angiography(MRA)and vascular wall imaging(VWI)data of 506 patients with single IA were retrospectively analyzed.Asymptomatic IA was included in stable status group(n=349),while those with enlargement during follow-up or threatened rupture symptoms were taken as instable status group(n=157).The patients were divided into training set(n=354)and validation set(n=152)at a ratio of 7:3.The least absolute shrinkage and selection operator(LASSO)and multivariate logistic regression were performed to screen risk factors associated with IA instability based on clinical data,MRA and VWI manifestations.Then model 1 was constructed based the above indexes,while model 2 was established based only on MRA manifestations of IA.The receiver operating characteristic curve was plotted,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting IA instability.Results LASSO and multivariate logistic regression showed that female patient,age＜50 years with history of cerebral infarction and IA wall enhancement on MRA were all independent predictors of IA instability status.The AUC of model 1 for predicting instability status of IA was 0.733 and 0.742 in training set and validation set,respectively,both higher than that of model 2(0.593 and 0.609,both P＜0.05).Conclusion MR VWI was helpful for predicting IA instability status.

Objective To observe the changes in functional connectivity(FC)of raphe nucleus in patients with first-episode depression complicated with suicidal ideation(SI).Methods Ninety-eight first-episode depression patients were prospectively enrolled and assigned into SI group(n=56)or non SI group(n=42)based on complicated with SI or not,while 47 healthy volunteers were recruited as control group.Resting-state functional MRI was performed.FC between dorsal raphe nucleus(DRN),median raphe nucleus(MRN)and the whole brain were analyzed and compared among 3 groups and between each 2 groups,and the correlations of FC of different brain regions with clinical data of SI group were explored.Results Compared with control group,FC between DRN and left cerebellum and left putamen in SI group and non SI group decreased(all P＜0.05),between MRN and right inferior temporal gyrus increased but between MRN and left inferior frontal gyrus,right superior occipital gyrus,left inferior parietal lobule,left putamen decreased(all P＜0.05).FC between DRN and left putamen in SI group was higher than that in non SI group(P＜0.05).FC between MRN and right central posterior gyrus of SI group increased compared with that in the rest 2 groups(both P＜0.05).FC between MRN and left putamen in SI group was positively correlated with body mass score of Hamilton depression scale-24(HAMD-24)(rs=0.297,P=0.026).Conclusion Abnormal changes of FC between raphe nucleus and cortex,also between raphe nucleus and subcortical area occurred,and FC between MRN and left putamen positively correlated with body mass score of HAMD-24 in patients with first-episode depression complicated with SI.

Objective:To investigate the correlation between brain gray matter volume (GMV) and interactive effects of smoking addiction and overweight.Methods:We retrospectively analyzed the clinical data and resting-state functional magnetic resonance imaging data of 99 subjects recruited from January 2019 to December 2021 through online platforms such as WeChat, including the following four groups: overweight smoking addiction group ( n=24), normal-weight smoking addiction group ( n=28), overweight non-smoking group ( n=19), and normal-weight non-smoking group ( n=28). All subjects underwent 3.0T MRI. We used voxel-based morphometry (VBM) to compare gray matter volume (GMV) among the four groups. A two-way analysis of variance was conducted with age, years of education, and head motion as covariates to explore the interaction effects between smoking addiction and weight status on GMV, the main effect of smoking addiction and main effect of overweight, which were then correlated with clinical data. Results:Significant interactive effects of smoking addiction and overweight were observed in the left dorsolateral prefrontal cortex (DLPFC) (GRF corrected, voxel-level P<0.001, cluster-level P<0.05). Correlation analysis showed a quadratic effect between body mass index and left DLPFC GMV (β=-3.846, t=-2.134, P=0.036). Additionally, the main effect of smoking addiction was primarily manifested in the bilateral orbitofrontal cortex (OFC)(GRF corrected, P voxel<0.001, P cluster<0.05). Left OFC GMV was negatively associated with the FTND (Fagerstrom Test of Nicotine Dependence) scores ( r=-0.391, P=0.006). And right OFC GMV was negatively correlated with the smoking index ( r=-0.335, P=0.019). No statistically significant main effect of overweight was found at the aforementioned threshold. Conclusion:Smoking addiction and overweight have antagonistic effects on left DLPFC GMV.

Objective:This study aims to investigate the dynamic patterns of intrinsic neural activity and their relationships with Internet Addiction Test (IAT) scores in individuals with internet gaming disorder (IGD).Methods:Resting state functional magnetic resonance imaging (fMRI) scanning was performed on 33 individuals with IGD (IGD group) who were admitted to the psychiatric department of First Affiliated Hospital of Zhengzhou University and 40 healthy volunteers (control group) recruited through the online platform. The dynamic regional homogeneity (dReHo) values were calculated. The two-sample t test was used to analyze the differences of dReHo values between two groups (Gaussian random field corrected, voxel level P<0.001, cluster level P<0.05). Spearman correlation analyses were used to analyze the correlations between IAT scores and dReHo values of brain regions with statistically significant differences between IGD group and control group. Results:Compared with the control group, the IGD group showed increased dReHo values in the right thalamus, right caudate nucleus, left putamen, bilateral medial superior frontal gyrus, bilateral supplementary motor area, and bilateral superior frontal gyrus ( t=3.84-4.94, Gaussian random field corrected, voxel level P<0.001, cluster level P<0.05). The dReHo value in the right medial superior frontal gyrus was positively correlated with IAT scores ( r=0.395, P=0.023) in IGD group. Conclusion:Individuals with IGD exhibited a wide range of abnormal dynamic patterns of intrinsic neural activity in pivotal regions associated with reward processing and cognitive control functions (the fronto-striato-thalamic circuit), providing new insights into the underlying neural mechanisms of IGD.

Objective:To explore the interaction effects on brain activity between the smoking addiction and weight status by resting-state functional magnetic resonance imaging.Methods:Retrospective analysis of clinical data and resting-state functional magnetic resonance imaging data were analyzed from 99 recruited subjects from January 2019 to December 2021. All participants were divided into four groups: overweight smokers ( n=24), normal-weight smokers ( n=28), overweight non-smokers ( n=19), and normal weight non-smokers ( n=28). Calculate regional homogeneity (ReHo) to reflect the internal brain activity of the subjects. Two-way ANOVA was used to detect the interaction effects between smoking addiction and overweight on ReHo by SPM12 software, correcting for age, years of education and head motion. Results:The interaction effect between smoking addiction and overweight on ReHo was significant in right superior frontal gyrus(x, y, z=15, 9, 60)(GRF corrected, Pvoxel<0.005, Pcluster<0.05). The ReHo value in the right superior frontal gyrus of overweight smokers was significantly higher than that of normal weight smokers ( t=3.768, P<0.001, Bonferroni corrected). The ReHo values in the right superior frontal gyrus of overweight non-smokers were significantly lower than those of normal weight non-smokers ( t=-3.242, P=0.002, Bonferroni corrected). The ReHo values in the right superior frontal gyurs of normal-weight smokers were significantly lower than those of normal weight non-smokers( t=-3.540, P=0.001, Bonferroni corrected). The ReHo values in the right superior frontal gyrus of overweight smokers were significantly higher than those of overweight non-smokers ( t=3.392, P=0.002, Bonferroni corrected). Correlation analyses showed that the strengthen ReHo value in right superior frontal gyrus was positively associated with pack-year in smoking addicts( r=0.387, P=0.007, Bonferroni corrected). Conclusion:Smoking addiction and overweight have an antagonistic effect on brain activity in the right superior frontal gyrus, which may provide potential therapeutic targets for individuals with comorbidity of smoking addiction and overweight.

Objective To investigate the application value of quantitative relaxation parameters based on synthetic MRI technology in the differential diagnosis of parotid gland tumors.Methods Conventional MRI and synthetic MRI data of 59 patients with patho-logically confirmed parotid gland tumors were analyzed retrospectively.T1,T2,and proton density(PD)values of the tumor were extracted from T1,T2 and PD mapping.The differences in quantitative relaxation parameters of pleomorphic adenomas,Warthin tumors,and malignant tumors were further compared.Diagnostic performance of each quantitative relaxation parameter was assessed and com-pared via receiver operating characteristic(ROC)curve and DeLong test.Results T2 value was significantly higher in pleomorphic adenomas than that in malignant tumors(P<0.05).The T1,T2,and PD values of pleomorphic adenomas and malignant tumors were significantly higher than those of Warthin tumors(P<0.05).The area under the curve(AUC)of the T2 value in differentia-ting pleomorphic adenomas from malignant tumors was 0.794.The AUC for T1 value(0.939)in differentiating Warthin tumors from malignant tumors was significantly higher than that of T2(0.873,P=0.341)and PD(0.927,P=0.891)values,without sta-tistically significant difference.The AUC for T2 value(0.968)in differentiating pleomorphic adenomas from Warthin tumors was significantly higher than that of T1(0.931,P=0.360)and PD(0.876,P=0.120)values,without statistically significant difference.Conclusion Quantitative relaxation parameters based on synthetic MRI technology may contribute to differentiating pleomorphic adenomas,Warthin tumors,and malignant tumors of the parotid gland.

Objective To investigate the value of three-dimensional amide proton transfer(3D APT)imaging and multi-model diffusion weighted imaging(DWI)in evaluating the histological grade of cervical squamous cell carcinoma(CSCC).Methods A total of 54 patients with CSCC at different grades were prospectively included.All subjects underwent pelvic 3D APT and multi-b-value DWI sequences on a 3.0T MR scanner.Two radiologists blindly measured the amide proton transfer(APT)values of all continuous layers of the lesion,the apparent diffusion coefficient(ADC)of the mono-exponential-model of DWI,the ture-diffusion coefficient(D),pseudo-diffusion coefficient(D*),perfusion fraction(f)of intravoxel incoherent motion(IVIM)imaging,and the mean diffusivity(MD)and mean diffusion kurtosis(MK)values of diffusion kurtosis imaging(DKI).The receiver operating characteristic(ROC)curve was used to analyze the efficacy of each parameter in identifying different pathological grades of CSCC.Results The APT mean signal intensity(SImean),APT maximum signal intensity(SImax)and maximum mean diffusion kurtosis(MKmax)values of the high-grade group were statistically higher than those of the low-grade group,and the minimum apparent diffusion coefficient(ADCmin),minimum ture-diffusion coefficient(Dmin),and minimum mean diffusivity(MDmin)values were statistically lower than those of the low-grade group(P＜0.05).The area under the curve(AUC)increased after the combination of APT parameters and DWI parameters,which was obviously higher than that of a single parameter(P＜0.05).Conclusion Both APT and multi-model DWI are helpful to identify the degree of differentiation of CSCC,and the diagnostic value of combining the two is higher.

Objective:To explore the dynamic temporal variability of brain functional networks in individuals with internet gaming disorder(IGD)using dynamic functional connectivity density(dFCD).Methods:From January 2019 to December 2021, resting-state functional magnetic resonance imaging data were recruited from 55 patients with IGD and demographically matched 50 healthy controls.Data analysis was performed by IBM SPSS 21.0 software. The functional connectivity density(FCD) combined with sliding window analysis was employed to calculate the temporal variability of global functional connectivity.FCD in whole brain was further devided into ipsilateral and cotralateral parts.The temporal variability of dFCD was further quantified utilizing the standard deviations of whole brain, intra-, and inter-hemispheric FCD. Finally, Pearson correlation analysis was performed between dFCD variance in differential brain regions and clinical behaviors.Results:The inter-hemispheric dFCD in the left posterior cingulate cortex(-0.16±0.24) and the left precuneus(-0.08±0.23) in patients with IGD were lower that those in healthy controls(0.002±0.260, 0.12±0.36)( t=-3.502, -4.160, both P<0.05).And the intra-hemispheric dFCD in the left calcarine, the left precuneus, and the left posterior cingulate cortex in patients with IGD were lower that those in healthy controls( t=-3.809, -4.360, -3.561, all P<0.05).Moreover, abnormal global dFCD variability of the calcarine and ipsilateral dFCD variability of the PCC negatively correlated with the severity of IGD( r=-0.380, -0.413, both P<0.05). Conclusion:Patients with IGD show intra-and inter-hemispheric dFCD differences in the visual attention network and default mode network, which may respond to the underlying neurobiological basis for the presence of cognitive dysfunction and impaired concentration.

Objective To explore the value of 3D amide proton transfer weighted imaging(APTWI),diffusion weighted imaging(DWI)and the combination for differentiating benign and malignant bone and soft tissue tumors.Methods Non-contrast MRI,APTWI and DWI of pelvis or lower extremity were prospectively acquired in 96 patients with bone and soft tissue tumors.MTRasym and ADC maps were obtained based on APTWI and DWI calculation with an offset of 3.5 ppm,respectively,and the maximum asymmetric magnetization transfer rate(MTRasym)(MTRasymmax),the mean MTRasym(MTRasymmean)and the minimum MTRasym(MTRasymmin),as well as the maximum apparent diffusion coefficient(ADC)(ADCmax),the mean ADC(ADCmean)and the minimum ADC(ADCmin)values were measured.The above parameters were compared between benign and malignant tumors.Then receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of APTWI,DWI and the combination.Results Among 96 patients,there were 41 benign and 55 malignant pelvic or lower limb bone and soft tissue tumors.In benign tumors,MTRasym(3.5 ppm)values,including MTRasymmax.MTRasymmean and MTRasymmin were significantly higher,whereas ADC values including ADCmax,ADCmeanand ADCmin were significantly lower than those in malignant tumors(all P＜0.05).AUC of MTRasymmax and ADCmin for differentiating benign and malignant bone and soft tissue tumors was 0.791 and 0.873,respectively,being not statistically different(P=0.122),but both lower than that of their combination(AUC=0.944,P＜0.001,P=0.041).Conclusion APTWI combined with DWI had high efficacy for differentiating benign and malignant bone and soft tissue tumors.