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  1.  8
    Saliency-aware regularized graph neural network.Wenjie Pei, WeiNa Xu, Zongze Wu, Weichao Li, Jinfan Wang, Guangming Lu & Xiangrong Wang - 2024 - Artificial Intelligence 328 (C):104078.
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  2.  78
    Sex Differences in Re-experiencing Symptoms Between Husbands and Wives Who Lost Their Only Child in China: A Resting-State Functional Connectivity Study of Hippocampal Subfields.Yifeng Luo, Yu Liu, Zhao Qing, Li Zhang, Yifei Weng, Xiaojie Zhang, Hairong Shan, Lingjiang Li, Rongfeng Qi, Zhihong Cao & Guangming Lu - 2021 - Frontiers in Human Neuroscience 15.
    Background: Losing one’s only child may lead to post-traumatic stress disorder, of which re-experiencing is the core symptom. However, neuroimaging studies of sex differences in re-experiencing in the context of the trauma of losing one’s only child and PTSD are scarce; comparisons of the functional networks from the hippocampal subfields to the thalamus might clarify the neural basis.Methods: Thirty couples without any psychiatric disorder who lost their only child, 55 patients with PTSD, and 50 normal controls underwent resting-state functional magnetic (...)
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  3.  18
    Distributed Functional Connectome of White Matter in Patients With Functional Dyspepsia.Qiang Xu, Yifei Weng, Chang Liu, Lianli Qiu, Yulin Yang, Yifei Zhou, Fangyu Wang, Guangming Lu, Long Jiang Zhang & Rongfeng Qi - 2021 - Frontiers in Human Neuroscience 15.
    Purpose: We aimed to find out the distributed functional connectome of white matter in patients with functional dyspepsia.Methods: 20 patients with FD and 24 age- and gender-matched healthy controls were included into the study. The functional connectome of white matter and graph theory were used to these participants. Two-sample t-test was used for the detection the abnormal graph properties in FD. Pearson correlation was used for the relationship between properties and the clinical and neuropshychological information.Results: Patients with FD and healthy (...)
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    BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB.Qiang Xu, Qirui Zhang, Gaoping Liu, Xi-Jian Dai, Xinyu Xie, Jingru Hao, Qianqian Yu, Ruoting Liu, Zixuan Zhang, Yulu Ye, Rongfeng Qi, Long Jiang Zhang, Zhiqiang Zhang & Guangming Lu - 2021 - Frontiers in Human Neuroscience 15.
    Brain structural covariance network can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders. Recently, causal analysis of structural covariance network, winner-take-all and cortex–subcortex covariance network, and modulation analysis of structural covariance network have expended the technology breadth of SCN. However, the lack of user-friendly software limited the further application of SCN for the research. In this work, we developed the graphical user interface toolkit of brain structural (...)
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