2篇
您的检索式：作者名="Jiecheng Ren"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Impulsivity-related right superior frontal gyrus as a biomarker of internet gaming disorder显示文摘Background Internet gaming disorder(IGD)is a mental health issue that affects individuals worldwide.However,the lack of knowledge about the biomarkers associated with the development of IGD has restricted the diagnosis and treatment of this disorder.Aims We aimed to reveal the biomarkers associated with the development of IGD through resting-state brain network analysis and provide clues for the diagnosis and treatment of IGD.Methods Twenty-six patients with IGD,23 excessive internet game users(EIUs)who recurrently played internet games but were not diagnosed with IGD and 29 healthy controls(HCs)performed delay discounting task(DDT)and Iowa gambling task(IGT).Resting-state functional magnetic resonance imaging(fMRI)data were also collected.Results Patients with IGD exhibited significantly lower hubness in the right medial orbital part of the superior frontal gyrus(ORBsupmed)than both the EIU and the HC groups.Additionally,the hubness of the right ORBsupmed was found to be positively correlated with the highest excessive internet gaming degree during the past year in the EIU group but not the IGD group;this might be the protective mechanism that prevents EIUs from becoming addicted to internet games.Moreover,the hubness of the right ORBsupmed was found to be related to the treatment outcome of patients with IGD,with higher hubness of this region indicating better recovery when undergoing forced abstinence.Further modelling analysis of the DDT and IGT showed that patients with IGD displayed higher impulsivity during the decision-making process,and impulsivity-related parameters were negatively correlated with the hubness of right ORBsupmed.Conclusions Our findings revealed that the impulsivity-related right ORBsupmed hubness could serve as a potential biomarker of IGD and provide clues for the diagnosis and treatment of IGD. | Pengyu Zhang Yu Pan Rujing Zha Hongwen Song Cunfeng Yuan Qian Zhao Yi Piao Jiecheng Ren Yijun Chen Peipeng Liang Ran Tao Zhengde Wei Xiaochu Zhang | 2023 | General Psychiatry2023，36，4： | 1 |
| 2 | A solution to supervised motor imagery task in the BCI Controlled Robot Contest in World Robot Contest显示文摘Background:One of the most prestigious competitions in the world is the World Robot Conference.This paper presents the winning solution to the supervised motor imagery(MI)task in the BCI Controlled Robot Contest in World Robot Contest 2021.Methods:Data augmentation,preprocessing,feature extraction,and model training are the main components of the solution.The model is based on EEGNet,a popular convolutional neural networks model for classifying electroencephalography data.Results:Despite the model’s lack of stability,this solution was the most successful in the task.The channels closest to the vertex were the most helpful in feature extraction.Conclusion:This solution is suitable for supervised MI tasks not only in this competition but also in future scenarios. | Huixing Gou Yi Piao Jiecheng Ren Qian Zhao Yijun Chen Chang Liu Wei Hong Xiaochu Zhang | 2022 | Brain Science Advances2022，8，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员