1.Graph Neural Networks and Multimodal DTI Features for Schizophrenia Classification: Insights from Brain Network Analysis and Gene Expression.
Jingjing GAO ; Heping TANG ; Zhengning WANG ; Yanling LI ; Na LUO ; Ming SONG ; Sangma XIE ; Weiyang SHI ; Hao YAN ; Lin LU ; Jun YAN ; Peng LI ; Yuqing SONG ; Jun CHEN ; Yunchun CHEN ; Huaning WANG ; Wenming LIU ; Zhigang LI ; Hua GUO ; Ping WAN ; Luxian LV ; Yongfeng YANG ; Huiling WANG ; Hongxing ZHANG ; Huawang WU ; Yuping NING ; Dai ZHANG ; Tianzi JIANG
Neuroscience Bulletin 2025;41(6):933-950
Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans
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Schizophrenia/pathology*
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Diffusion Tensor Imaging/methods*
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Male
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Female
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Adult
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Brain/metabolism*
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Young Adult
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Middle Aged
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White Matter/pathology*
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Gene Expression
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Nerve Net/diagnostic imaging*
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Graph Neural Networks
2.Preliminary observation on the clinical application of rehabilitation support for lumbar disc herniation based on 3D printing technology.
Ping CHEN ; Hai-Dong WANG ; Jun-Jie SU ; Ying PAN ; Wei-Qing LI ; Xue-Mei TIAN ; Gui-Lin LAI ; Jia-Ning WANG
China Journal of Orthopaedics and Traumatology 2023;36(9):849-853
OBJECTIVE:
To analyze the important effect of 3D printing personalized lumbar support on lumbar pain and lumbar function in patients with lumbar disc herniation.
METHODS:
From October 2018 to May 2021, 60 patients initially diagnosed with lumbar disc herniation were selected and divided into an observation group and a control group, with 30 patients in each group. Among them, there were 18 males and 12 females in the observation group;the age ranged from 24 to 56 years old, with an average of (45.23±6.07) years old. The course of disease ranged from 1 to 24 months, with an average of(6.25±0.82) months, and rehabilitation treatment was carried out by wearing 3D printed personalized lumbar support. There were 19 males and 11 females in the control group;the age ranged from 25 to 57 years old, with an average of (42.78±7.58) years old. The course of disease ranged from 1 to 24 months, with an average of (6.72±1.36) months, and rehabilitation treatment is carried out by wearing traditional lumbar protective equipment. The Japanese Orthopaedic Association (JOA) scores, lumbar Oswestry dysfunction index (ODI) and visual analogue scale (VAS) were evaluated and compared between the two groups before and 1 course after treatment (3 weeks).
RESULTS:
There was no statistically significant difference in JOA, ODI, and VAS between two groups before treatment (P>0.05). After one course of treatment (3 weeks), JOA scores of both groups was increased compared to before treatment (P<0.05), while ODI and VAS decreased compared to before treatment (P<0.05). After treatment, JOA score of observation group was higher than that of control group (P<0.05), while ODI and VAS scores were lower than those of control group. No adverse events occurred in both groups.
CONCLUSION
The application of 3D printing personalized lumbar support can effectively alleviate the pain of patients with lumbar disc herniation and improve their lumbar function of patients.
Female
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Male
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Humans
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Young Adult
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Adult
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Middle Aged
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Intervertebral Disc Displacement/surgery*
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Printing, Three-Dimensional
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Technology
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Orthopedics
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Low Back Pain
3.Analysis of basic medical insurance and disease burden of the disabled people under the background of health poverty alleviation
Miao CHEN ; Zhengning FENG ; Qiyu HUANG ; Chaoqin JI ; Wei FAN ; Qingxia WANG ; Zihan CHEN ; Ting CHEN
Journal of Public Health and Preventive Medicine 2020;32(1):14-17
Objective To explore the problems of health poverty faced by a special group of people with disabilities and the difficulties in the practice of health poverty alleviation, so as to provide a scientific basis for the health poverty alleviation of the disabled. Methods A self-made questionnaire was used for one-to-one survey, and a database was established by Excel. SPSS was used for descriptive analysis and horizontal comparison. Results The participation rate of basic medical insurance for the disabled was relatively high (93.40%), and the medical insurance payment was mainly paid by individuals (70.13%). The satisfaction of medical insurance was low (43.12%), and 84.64% of the disabled thought that their medical expenses were high. 45.22% of the families of disabled patients met the universal standard of catastrophic health expenditure. Compared with Shandong Province, the basic medical insurance coverage rate of the disabled in Hubei Province was slightly lower, the satisfaction rate of medical insurance was higher, and the proportion of catastrophic health expenditure of families was larger. The analysis of the results showed that the disabled people with a lower disability level, children and middle-aged with disabilities, the disabled people with less or more family members, and the disabled people without the minimum living subsistence allowances were not satisfied with the medical insurance. Conclusion The basic medical insurance in the two places has alleviated the difficulty of medical treatment for the disabled to a certain extent, but the family burden of diseases of the disabled was still heavy. The level of medical security for people with disabilities should be improved, and their economic burden of disease should be reduced, so as to improve the satisfaction of medical insurance.


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