1.Brain network connectivity and classification model of adolescent depression based on resting-state functional magnetic resonance imaging and machine learning
Yanrui SHEN ; Xuekun LI ; Zhong LI ; Chenghao CAO ; Zhuo ZHENG ; Baolin WU
Chinese Journal of Neuromedicine 2025;24(3):260-266
Objective:To explore the abnormal patterns of brain functional network connectivity in depression adolescents and their diagnostic value in adolescent depression.Methods:A total of 94 depression adolescents (adolescent depression group) admitted to Outpatient Department of Psychiatric Imaging, West China Hospital, Sichuan University from January 2020 to December 2022 were selected. In addition, 78 age- and gender-matched healthy adolescents were recruited from local community advertisements at the same time-period as healthy control group. Resting-state functional magnetic resonance imaging was performed; after image preprocessing, group-level spatial independent component analysis was performed to identify the intrinsic network connectivity, and differences in network connectivity between the two groups were compared. Functional connectivity edges were employed as classification features, and feature ranking and screening were then performed. A support vector machine (SVM) with linear kernel function was used to construct a classification model, and receiver operating characteristic (ROC) curve was used to analyze the diagnostic value of this classification model in adolescent depression.Results:No significant difference was noted in age, gender, years of education, and body mass index between the two groups ( P>0.05). Compared with the healthy control group, the adolescent depression group had significantly decreased functional connectivity intensity within and between the networks of sensorimotor network (SMN), visual network (VN), auditory network (AN), default mode network (DMN), and cognitive control network (CCN), and significantly increased functional connectivity intensity within CCN ( P<0.05). When using the 75 top-ranked functional connectivity features, this classification model had the best performance (accuracy rate: 70.35%, sensitivity: 70.21%, specificity: 71.80%, P<0.001). ROC curve showed that area under the curve of this classification model in diagnosing adolescent depression was 0.724 (95% CI: 0.648-0.800, P<0.001). A total of 51 consistent functional connectivities were identified and they were mainly located within or between the networks of SMN, VN, AN, DMN, and CCN. Conclusion:The abnormal resting-state brain functional connectivity in depression adolescents can provide imaging basis for their clinical diagnosis.
2.Brain network connectivity and classification model of adolescent depression based on resting-state functional magnetic resonance imaging and machine learning
Yanrui SHEN ; Xuekun LI ; Zhong LI ; Chenghao CAO ; Zhuo ZHENG ; Baolin WU
Chinese Journal of Neuromedicine 2025;24(3):260-266
Objective:To explore the abnormal patterns of brain functional network connectivity in depression adolescents and their diagnostic value in adolescent depression.Methods:A total of 94 depression adolescents (adolescent depression group) admitted to Outpatient Department of Psychiatric Imaging, West China Hospital, Sichuan University from January 2020 to December 2022 were selected. In addition, 78 age- and gender-matched healthy adolescents were recruited from local community advertisements at the same time-period as healthy control group. Resting-state functional magnetic resonance imaging was performed; after image preprocessing, group-level spatial independent component analysis was performed to identify the intrinsic network connectivity, and differences in network connectivity between the two groups were compared. Functional connectivity edges were employed as classification features, and feature ranking and screening were then performed. A support vector machine (SVM) with linear kernel function was used to construct a classification model, and receiver operating characteristic (ROC) curve was used to analyze the diagnostic value of this classification model in adolescent depression.Results:No significant difference was noted in age, gender, years of education, and body mass index between the two groups ( P>0.05). Compared with the healthy control group, the adolescent depression group had significantly decreased functional connectivity intensity within and between the networks of sensorimotor network (SMN), visual network (VN), auditory network (AN), default mode network (DMN), and cognitive control network (CCN), and significantly increased functional connectivity intensity within CCN ( P<0.05). When using the 75 top-ranked functional connectivity features, this classification model had the best performance (accuracy rate: 70.35%, sensitivity: 70.21%, specificity: 71.80%, P<0.001). ROC curve showed that area under the curve of this classification model in diagnosing adolescent depression was 0.724 (95% CI: 0.648-0.800, P<0.001). A total of 51 consistent functional connectivities were identified and they were mainly located within or between the networks of SMN, VN, AN, DMN, and CCN. Conclusion:The abnormal resting-state brain functional connectivity in depression adolescents can provide imaging basis for their clinical diagnosis.
3.Haze weather health protection behavior and associated factors in adolescents
Chinese Journal of School Health 2022;43(3):367-371
Objective:
To investigate adolescent haze weather health protection behavior, and to provide scientific basis for behavioral intervention and health guidance for adolescents in haze weather.
Methods:
From June 2015 to April 2016, 1 025 adolescents were selected from 22 classes in two middle schools of Baoding City, Hebei Province, by stratified cluster sampling method. General information questionnaire and the Brief Haze Weather Health Protection Behavior Assessment Scale Adolescent Version (BHWHPBAS AV) were used. Multiple linear regressions were conducted to explore factors affecting adolescent haze weather health protection behavior. Different models were used to confirm associations between influencing factors and BHWHPBAS AV scores.
Results:
Adolescents had a low overall score of BHWHPBASAV (45.81±13.16). The score rate of self adjustment after haze weather was the highest (64.54%). The score rate of obtaining relevant knowledge before haze weather was the lowest (50.28%). Compared with adolescents in urban area, rural adolescents had a lower BHWHPBAS AV score ( β=-3.20, P <0.01). Compared with students (living with parents), those living without parents had a lower BHWHPBAS AV score ( β=-4.16, P =0.01). Compared with students never receive physical examination,those had received physical examination during the past years had a higher BHWHPBAS AV score ( β=4.44,5.66,9.04, P <0.01). Compared with students with no knowledge of respiratory system diseases, those with moderate to sufficient knowledge had a higher BHWHPBAS AV score ( β=9.34,12.19,P <0.01). These associations were stable and consistent.Multiple linear regression analysis showed that residence, residence with parents, physical examination and knowledge of respiratory diseases were the relevant factors of BHWHPBAS AV score ( P <0.05).
Conclusion
Adolescent haze weather health protection behavior level is low and is affected by many factors. Cooperation should be strengthened to conduct behavioral interventions and health guidance on haze health protection for adolescents, so as to promote healthy growth of adolescents.
4.Changes of functional brain networks and their relations with cognitive function in patients with end-stage renal disease
Baolin WU ; Zheng YUE ; Xuekun LI ; Lei LI ; Meng ZHANG ; Jipeng REN ; Wenling LIU ; Dongming HAN
Chinese Journal of Neuromedicine 2020;19(2):181-187
Objective To investigate the change patterns of functional brain networks and their relations with cognitive function in patients with end-stage renal disease (ESRD).Methods Sixty-two patients with ESRD (ESRD group),admitted to our hospital from July 2018 to June 2019,and 36 age-,gender-,and education level-matched healthy controls (HC group) were enrolled.Mini-mental State Examination (MMSE),Montreal Cognitive Assessment (MoCA),Trail Making Test A (TMT-A),TMT-B and Symbol Digit Modalities Test (SDMT) were used to evaluate the cognitive function for all subjects.Resting-state functional magnetic resonance imaging data were acquired;after data preprocessing,the brain functional networks were constructed and the topological parameters were calculated.Statistical methods were used to compare the differences of cognitive function scores and topological parameters between the two groups,and to analyze the correlations between these topological parameters and cognitive function scores in the ESRD group.Results The MMSE,MoCA and SDMT scores of the ESRD group were significantly lower than those of the HC group (P<0.05),and the ESRD group took significantly longer time to complete TMT-A and TMT-B than the HC group (P<0.05).The ESRD group had significantly lower normalized clustering coefficient (γ),small-worldness (σ) and local efficiency (Elocal) values than the HC group (P<0.05).Patients in the ESRD group exhibited significantly decreased nodal efficiency in the paralimbic-limbic network (including the bilateral insula,median cingulate and paracingulate gyri,hippocampus,parahippocampal gyrus,amygdala,temporal pole:superior temporal gyrus,and temporal pole:middle temporal gyrus),right heschl gyrus and left superior temporal gyrus,and exhibited significantly increased nodal efficiency in the visual network (including the right distal-shaped gyrus,bilateral wedge,and left superior and middle occipital gyrus) as compared with the HC group (P<0.05).In the ESRD group,the area under the curve (AUC) ofγ and σ was positively correlated with MoCA scores (r=0.698,P=0.000;r=0.661,P=0.000),and the AUC of Elocal showed positive correlation with MMSE scores (r=0.407,P=0.003).Conclusion Abnormal topological organization of the functional brain networks is revealed in patients with ESRD,which affects the cognitive function of these patients.
5.Using the big data of internet to understand the characteristics of coronavirus disease 2019: a big data study
Huijun QIU ; Lianxiong YUAN ; Xuekun HUANG ; Yuqi ZHOU ; Qingwu WU ; Rui ZHENG ; Qintai YANG
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2020;55(6):569-575
Objective:To analyze the symptom characteristics of Coronavirus Disease 2019(COVID-19) and to improve its prevention by using big data.Methods:Using Baidu Index Platform (http://index.baidu.com) and the website of Chinese Center for Disease Control and Prevention as data resources, we obtained the search volume (SV) of keywords for symptoms associated with COVID-19 from January 1 to February 20 in each year from 2017 to 2020, in Hubei province and other top 10 impacted provinces in China and the epidemic data. Data of 2020 were compared with the previous three years. Data of Hubei province were compared with confirmed cases. The differences and characteristics of the SV of COVID-19-related symptoms, and the correlation between the SV of COVID-19 and new confirmed or suspected cases were analyzed and the hysteresis effects were discussed. R3.6.2 software was used to analyze the data.Results:Compared the data from January 1 to February 20, 2020, with the SV for the same period of previous three years, Hubei′s SV for cough, fever, diarrhea, chest tightness, dyspnea and other symptoms were significantly increased. The total SV of lower respiratory symptoms was significantly higher than that of upper respiratory symptoms ( P<0.001). The SV of COVID-19 in Hubei province was significantly correlated with new confirmed or suspected cases ( rconfirmed=0.723, rsuspected=0.863, all P<0.001). The results of the distributed lag model suggested that the patients who retrieved relevant symptoms on the internet may begin to see a doctor in 2-3 days later and be diagnosed in 3-4 days later. Conclusions:The total SV of lower respiratory symptoms is higher than that of upper respiratory symptoms, and the SV of diarrhea also increases significantly. It warns us to pay attention to not only the symptoms of lower respiratory tract, but also the gastrointestinal symptoms, especially diarrhea in patients with COVID-19. There is a relationship between internet retrieval behavior and the number of new confirmed or suspected cases. Big data have a certain role in the early warning of infectious diseases.
6.Inter-hemisphere voxel-mirrored homotopic connectivity in patients with end-stage renal disease and its relation with cognitive function
Baolin WU ; Peina CHEN ; Xuekun LI ; Fei JIA ; Meng PENG ; Dongming HAN
Chinese Journal of Neuromedicine 2019;18(9):927-932
Objective To investigate the inter-hemispheric resting-state functional connectivity and its relation with cognitive function in patients with end-stage renal disease (ESRD) by using resting-state functional magnetic resonance imaging (rs-fMRI) based on voxel-mirrored homotopic connectivity (VMHC). Methods A total of 52 patients with ESRD (ESRD group), admitted to our hospital from July 2018 to January 2019, were enrolled; 36 age-, gender-, and education level-matched healthy controls (HCs group) were collected at the same time period. The cognitive function of all subjects was assessed by Mini Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Trail Making Test (TMT)-A, TMT-B and Symbol Digit Modalities Test (SDMT). The rs-fMRI and 3D-T1WI data were acquired from all subjects; after image preprocessing, VMHC values between brain hemispheres were calculated and the regions with significantly different VMHC values were obtained. The correlations between VMHC values in significant regions and cognitive scale scores were analyzed. Results MMSE, MoCA and SDMT scores of ESRD patients were significantly lower than those of the HCs group (P<0.05), and ESRD patients took longer time to complete TMT-A and TMT-B tests than the HCs group (P<0.05). As compared with that of the HCs group, significant decrease of VMHC values of ESRD patients was found in the hippocampus, lingual gyrus, superior temporal gyrus, caudate nucleus and anterior cingulate gyrus (P<0.01, AlphaSim correction); the VMHC values of the anterior cingulate gyrus and hippocampus were positively correlated with MMSE and MoCA scores (P<0. 05). Conclusion Significant abnormal inter-hemisphere functional connectivity is found in patients with ESRD, which is associated with cognitive function.
7.Status of professional identity for general practice residents standardized training and influencing factors
Shuijuan ZHANG ; Fagang GUO ; Yu CAI ; Xuekun ZHOU ; Yaodong LI ; Ge WU ; Yajun LI
Chinese Journal of General Practitioners 2019;18(1):71-73
The professional identity and the influencing factors were surveyed among 110 resident physicians of general practice standardized training program in the First Affiliated Hospital of Xi'an Medical College with a self-designed questionnaire,and 100 valid questionnaires were received.The average score of professional identity was (66.10 ± 13.644),and the six dimensions ranked from high to low:professional behavior,professional efficacy,professional cognition,professional emotion,professional value and professional commitment.There were significant differences in the scores of professional identity among general practitioners with different monthly income(F=2.947,P=0.037).The survey indicates that the professional identity of the resident physicians of general practice standardized training program is generally low and the income is an important influencing factor.
8.Effect of methotrexate on regulation for the number of regulatory T cells and expression of Foxp3 in psoriasis.
Yehong KUANG ; Heng ZHANG ; Wu ZHU ; Lisha WU ; Wangqing CHEN ; Yan LU ; Qunshi QIN ; Xuekun JIA ; Liqiu LIAO
Journal of Central South University(Medical Sciences) 2018;43(8):835-842
To explore the role of methotrexate (MTX) in regulating the number of regulatory T cells (Treg) and the mRNA expression of transcription factor Foxp3.
Methods: 1) We analyzed the number of Treg and the mRNA expression of Foxp3 by flow cytometry (FCM) and quantitative real-time PCR (qRT-PCR) respectively in patients with psoriasis vulgaris, patients with psoriasis vulgaris after the 8-week treatment of MTX, and healthy people. 2) BALB/c female mice were smeared with imiquimod (IMQ) cream for 6 days. We recorded the change of the lesion in mice every day. The morphological changes of lesion in mice were evaluated by the psoriasis area and severity index (PASI) and HE staining. 3) The mouse model was randomly divided into a control group and an MTX group. The MTX group was treated with different doses of MTX (38.5 and 77.0 nmol/L) on the third day of this experiment. The morphological changes of lesion in mice were evaluated by PASI and HE staining. We tested the number of Treg and the expression level of Foxp3 mRNA in splenic lymphocytes.
Results: 1) The number of Treg and the expression level of Foxp3 mRNA were lower in psoriasis vulgaris patients than those in the healthy control group (P<0.05). After 8-week treatment of MTX, the number of Treg was increased (P<0.05) and Foxp3 mRNA level was up-regulated (P<0.01). 2) Typical psoriasis-like skin lesions, such as red scaly skin plaque were found after topical application of IMQ. Both the number of Treg in the splenic lymphocytes of mice and the Foxp3 mRNA level of Treg were reduced by IMQ (P<0.01 and P<0.05). 3) Different doses of MTX for mice showed the ability to improve skin lesion, increase the number of Treg in the spleen of mice and Foxp3 mRNA level in psoriatic dermatitis of mice (P<0.05).
Conclusion: MTX is able to regulate the number of Treg and Foxp3 mRNA expression in psoriasis.
Adjuvants, Immunologic
;
pharmacology
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Aminoquinolines
;
pharmacology
;
Animals
;
Case-Control Studies
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Female
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Forkhead Transcription Factors
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metabolism
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Humans
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Imiquimod
;
Immunosuppressive Agents
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administration & dosage
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pharmacology
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Lymphocyte Count
;
Methotrexate
;
administration & dosage
;
pharmacology
;
Mice
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Mice, Inbred BALB C
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Psoriasis
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drug therapy
;
immunology
;
metabolism
;
pathology
;
RNA, Messenger
;
metabolism
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Random Allocation
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Spleen
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cytology
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T-Lymphocytes, Regulatory
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cytology
;
drug effects
;
metabolism
9.Application and Affecting Factor Analysis of Clopidogrel Loading Therapy in STEMI Patients With Percutaneous Coronary Intervention in China in 2006 and 2011
Xuekun WU ; Lihua ZHANG ; Xin ZHENG ; Meng SU ; Jiamin LIU ; Haibo ZHANG ; Xueke BAI ; Xi LI ; Lixin JIANG
Chinese Circulation Journal 2016;31(5):432-436
Objective: To explore the application and affecting factors of clopidogrel loading therapy in patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI) in china in 2006 and 2011. Methods: Based on “China patient-centered evaluative assessment of cardiac events retrospective study of acute myocardial infarction”, we collected clinical information of STEMI patients with PCI in 2006, 2011 and analyzed clopidogrel loading therapy status in different years and different hospitals. According to clopidogrel doses, the patients were divided into 2 groups: Clopidogrel 300mg group, the patients received a single dose of clopidogrel ≥300mg while <450mg and Clopidogrel 600mg group, the patients received a single dose of clopidogrel ≥450mg while ≤600mg. The relevant factors affecting clopidogrel loading therapy status were identiifed by binary Logistic regression analysis. Results: A total of 2481 eligible patients were enrolled and their mean age was (60.9 ± 12.0) years including 21.4%female. From 2006 to 2011, the overall application of clopidogrel loading was (51.0% vs 47.4%), the ratio for patients in Clopidogrel 300mg group was (43.1% vs 39.2%), in Clopidogrel 600mg group was (7.8% vs 8.2%), allP>0.05. In 2006, the hospital median rate of clopidogerl application was 44.4% (IQR 21.8% to 69.0%) and in 2011, it was 48.1% (IQR 25.0% to 70.8%),P=0.940. Binary logistic regression analysis showed that the patients were admitted within 12 hours of onset, with primary PCI and treated in central region had the higher rates of clopidogrel loading therapy. Conclusion: Clopidogrel loading therapy was seriously inadequate in STEMI patients with PCI, variation was across hospitals and the status was similar between 2006 and 2011. Clopidogrel loading therapy should be improved.
10.Compliance to sublingual immunotherapy in patients with allergic rhinitis in Guangzhou city
Xuekun HUANG ; Xifu WU ; Qintai YANG ; Yulian CHEN ; Gehua ZHANG
Chinese Archives of Otolaryngology-Head and Neck Surgery 2015;(12):616-618
ABSTRACT]OBJECTIVETo study the compliance to sublingual immunotherapy(SLIT) in patients with allergic rhinitis(AR) in Guangzhou city.METHODSFrom January 2014 to May 2014, 202 patients with AR received SLIT were followed up by telephone. According to age, the patients were divided into group A(age<14 years) and group B(age≥14 years). The compliance to SLIT was analyzed and the reasons of poor compliance were investigated.RESULTSAmong 202 patients, only 93 cases(46.04%) were successfully followed up by telephone, 109 cases(53.96%) were lost to visit. Among the 93 cases of successful follow-up, the good compliance rate was 29.03%(n=27), the poor compliance rate was 70.97%(n=66). compliance to SLIT was not affected by age and gender(P>0.05). Main reasons for poor compliance included poor efficacy (48.48%), insufficient education about SLIT (16.67%), inconvenience (15.15%), and adverse reactions(10.61%).CONCLUSION In Guangzhou city, lost follow-up rate in AR patients receiving SLIT is high. Compliance to SLIT is relatively low and improvements shall be made.


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