Xue Yu

Dr. Xue Yu


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2022 in Frontiers in Neurology
Verified
Journal Article
Open access
jifei sunjifei sun
jifei sun
ZDZhongming Du
Zhongming Du
YMYue Ma
Yue Ma
LCLimei Chen
Limei Chen
ZWZhi Wang
Zhi Wang
YZYanping Zhao
Yanping Zhao
Background: Functional magnetic resonance imaging (fMRI) studies examining differences in the activity of brain networks between the first depressive episode (FDE) and recurrent depressive episode (RDE) are limited. The current study observed and compared the altered functional connectivity (FC) characteristics in the default mode network (DMN), cognitive control network (CCN), and affective network (AN) between the RDE and FDE. In addition, we further investigated the correlation between abnormal FC and clinical symptoms.Methods: We recruited 32 patients with the RDE, 31 patients with the FDE, and 30 healthy controls (HCs). All subjects underwent resting-state fMRI. The seed-based FC method was used to analyze the abnormal brain networks in the DMN, CCN, and AN among the three groups and further explore the correlation between abnormal FC and clinical symptoms.Results: One-way analysis of variance showed significant differences the FC in the DMN, CCN, and AN among the three groups in the frontal, parietal, temporal, and precuneus lobes and cerebellum. Compared with the RDE group, the FDE group generally showed reduced FC in the DMN, CCN, and AN. Compared with the HC group, the FDE group showed reduced FC in the DMN, CCN, and AN, while the RDE group showed reduced FC only in the DMN and AN. Moreover, the FC in the left posterior cingulate cortices and the right inferior temporal gyrus in the RDE group were positively correlated with the 17-item Hamilton Rating Scale for Depression (HAMD-17), and the FC in the left dorsolateral prefrontal cortices and the right precuneus in the FDE group were negatively correlated with the HAMD-17.Conclusions: The RDE and FDE groups showed multiple abnormal brain networks. However, the alterations of abnormal FC were more extensive and intensive in the FDE group.

23 November 2022 in Brain Sciences
Verified
Journal Article
Open access
PDF file
JSJifei Sun
Jifei Sun
YLYi Luo
Yi Luo
MYMA YUE
MA YUE
CGChunlei Guo
Chunlei Guo
ZDZhongming Du
Zhongming Du
JFJiliang Fang
Jiliang Fang
The presence of different clinical symptoms in patients with treatment-resistant depression (TRD) of different sexes may be related to different neuropathological mechanisms. A total of 16 male patients with TRD, 18 female patients with TRD, 18 male healthy controls (HCs) and 19 female HCs completed this study. We used the amplitude of low frequency fluctuations (ALFF) method to analyze the results. Moreover, the correlation between abnormal brain areas and clinical symptoms in different sexes of the TRD groups was also analyzed. The effects of the sex-by-group interaction difference in ALFF among the four groups was located in the left middle frontal gyrus, left precentral gyrus and left precuneus. Post hoc comparisons revealed that the male TRD group had lower ALFF in the left middle frontal gyrus and left precentral gyrus compared with the female TRD group. There was a positive correlation between the left middle frontal gyrus, the left precuneus and the 17-item Hamilton Rating Scale for Depression scale (HAMD-17) scores, and a negative correlation between the left precentral gyrus and the HAMD-17 scores in the female TRD group. This study will provide some clinical reference value for the sex differences in neuropathological mechanisms of TRD.

22 July 2022 in Frontiers in Psychiatry
Verified
Journal Article
Open access
jifei sunjifei sun
jifei sun
YMYue Ma
Yue Ma
LCLimei Chen
Limei Chen
ZWZhi Wang
Zhi Wang
CGChunlei Guo
Chunlei Guo
XXXue Xiao
Xue Xiao
Objective: In this study, we used amplitude of low-frequency fluctuation (ALFF) and regional homogeneity (ReHo) to observe differences in local brain functional activity and its characteristics in patients with treatment-resistant depression (TRD) and non-treatment-resistant depression (nTRD), and to explore the correlation between areas of abnormal brain functional activity and clinical symptoms.Method: Thirty-seven patients with TRD, 36 patients with nTRD, and 35 healthy controls (HCs) were included in resting-state fMRI scans. ALFF and ReHo were used for image analysis and further correlation between abnormal brain regions and clinical symptoms were analyzed.Results: ANOVA revealed that the significantly different brain regions of ALFF and ReHo among the three groups were mainly concentrated in the frontal and temporal lobes. Compared with the nTRD group, the TRD group had decreased ALFF in the left/right inferior frontal triangular gyrus, left middle temporal gyrus, left cuneus and bilateral posterior lobes of the cerebellum, and increased ALFF in the left middle frontal gyrus and right superior temporal gyrus, and the TRD group had decreased ReHo in the left/right inferior frontal triangular gyrus, left middle temporal gyrus, and increased ReHo in the right superior frontal gyrus. Compared with the HC group, the TRD group had decreased ALFF/ReHo in both the right inferior frontal triangular gyrus and the left middle temporal gyrus. Pearson correlation analysis showed that both ALFF and ReHo values in these abnormal brain regions were positively correlated with HAMD-17 scores (P < 0.05).Conclusion: Although the clinical symptoms were similar in the TRD and nTRD groups, abnormal neurological functional activity were present in some of the same brain regions. Compared with the nTRD group, ALFF and ReHo showed a wider range of brain area alterations and more complex neuropathological mechanisms in the TRD group, especially in the inferior frontal triangular gyrus of the frontal lobe and the middle temporal gyrus of the temporal lobe.

25 April 2022 in Frontiers in Neuroscience
Verified
Journal Article
Open access
jifei sunjifei sun
jifei sun
LCLimei Chen
Limei Chen
JHJiakai He
Jiakai He
ZDZhongming Du
Zhongming Du
YMYue Ma
Yue Ma
XYXue Yu
Xue Yu
Background: Studies on differences in brain function activity between the first depressive episode (FDE) and recurrent depressive episodes (RDE) are scarce. In this study, we used regional homogeneity (ReHo) and amplitude of low-frequency fluctuations (ALFF) as indices of abnormal brain function activity. We aimed to determine the differences in these indices between patients with FDE and those with RDE, and to investigate the correlation between areas of abnormal brain function and clinical symptoms.Methods: A total of 29 patients with RDE, 28 patients with FDE, and 29 healthy controls (HCs) who underwent resting-state functional magnetic resonance imaging were included in this study. The ReHo and ALFF measurements were used for image analysis and further analysis of the correlation between different brain regions and clinical symptoms.Results: Analysis of variance showed significant differences among the three groups in ReHo and ALFF in the frontal, parietal, temporal, and occipital lobes. ReHo was higher in the right inferior frontal triangular gyrus and lower in the left inferior temporal gyrus in the RDE group than in the FDE group. Meanwhile, ALFF was higher in the right inferior frontal triangular gyrus, left anterior cingulate gyrus, orbital part of the left middle frontal gyrus, orbital part of the left superior frontal gyrus, and right angular gyrus, but was lower in the right lingual gyrus in the RDE group than in the FDE group. ReHo and ALFF were lower in the left angular gyrus in the RDE and FDE groups than in the HC group. Pearson correlation analysis showed a positive correlation between the ReHo and ALFF values in these abnormal areas in the frontal lobe and the severity of depressive symptoms (P < 0.05). Abnormal areas in the temporal and occipital lobes were negatively correlated with the severity of depressive symptoms (P < 0.05).Conclusion: The RDE and FDE groups had abnormal neural function activity in some of the same brain regions. ReHo and ALFF were more widely distributed in different brain regions and had more complex neuropathological mechanisms in the RDE group than in the FDE group, especially in the right inferior frontal triangular gyrus of the frontal lobe.

25 April 2022 in Psychiatry Investigation
Verified
Journal Article
Open access
PDF file
XYXue Yu
Xue Yu
LWLingling Wang
Lingling Wang
MLMiaomiao Liu
Miaomiao Liu
QLQiuli Li
Qiuli Li
XDXiuying Dai
Xiuying Dai
Objective This study aimed to investigate the prevalence of externalizing behavior problems (EBPs) and its influencing factors among Hui left-behind children (LBC) in rural China.Methods A cross-sectional study was conducted among school students from the southern rural areas in Ningxia, China (2012–2013). The general self-made questionnaire, Egma Minnen av Bardndosna Uppforstran, Eysenck Personality Questionnaire (for Children), Piers-Harris Children’s Self-Concept Scale, and Achenbach’s Child Behavior Checklist (for parents) were used to investigate the related information. Binary logistic regressions were conducted.Results The prevalence of EBPs in boys Hui LBC was significantly higher than that of non-LBC (12.37% vs. 6.84%, χ2=4.09, and p=0.04). Multivariate logistic regression analysis showed that low self-awareness of behavior (odds ratio [OR]=29.78), introversion (OR=21.67) and intermediate personality (OR=15.83), poor academic performance (OR=11.65) and both parent migrating (OR=2.73) were the risk factors for the EBPs of Hui LBC, while middle and high father refusal and denial (OR=0.11, OR=0.09) were their protective factors.Conclusion Our findings suggest that both parent migrating is a potential risk factor for EBPs among Hui LBC. Hui boys LBC should be paid more attention when formulating relevant policies.

2 October 2020 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
XLXiaohan Liu
Xiaohan Liu
Nan JiangNan Jiang
Nan Jiang
RZRuiqin Zhang
Ruiqin Zhang
XYXue Yu
Xue Yu
SLShengli Li
Shengli Li
QMQingqing Miao
Qingqing Miao