Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Baojuan LI"'
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 7, Pp 320-327 (2024)
Objective: To investigate the effects and mechanisms of pomegranate flower water extract on hepatic insulin signaling in type 2 diabetic mice. Methods: C57BL/6J was randomly divided into normal group, model group, metformin group (Met), pomegranate f
Externí odkaz:
https://doaj.org/article/971b01856af74231b930ec15c44cab0f
Autor:
Baojuan Li, Na Zhao, Nailong Tang, Karl J. Friston, Wensheng Zhai, Di Wu, Junchang Liu, Yihuan Chen, Yan Min, Yuting Qiao, Wenming Liu, Wanqing Shu, Min Liu, Ping Zhou, Li Guo, Shun Qi, Long-Biao Cui, Huaning Wang
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract High suicide risk represents a serious problem in patients with major depressive disorder (MDD), yet treatment options that could safely and rapidly ameliorate suicidal ideation remain elusive. Here, we tested the feasibility and preliminary
Externí odkaz:
https://doaj.org/article/03f56a8ab8da4ca8bdde30bcc2a3b85a
Autor:
Jia Wang, Baojuan Li, Jian Liu, Jiaming Li, Adeel Razi, Kaizhong Zheng, Baoyu Yan, Huaning Wang, Hongbing Lu, Karl Friston
Publikováno v:
NeuroImage: Clinical, Vol 41, Iss , Pp 103556- (2024)
It is posited that cognitive and affective dysfunction in patients with major depression disorder (MDD) may be caused by dysfunctional signal propagation in the brain. By leveraging dynamic causal modeling, we investigated large-scale directed signal
Externí odkaz:
https://doaj.org/article/5d51c3b867f1425b8536b9e433009668
Autor:
Jing-Wen Fan, Yue-Wen Gu, Dong-Bao Wang, Xiao-Fan Liu, Shu-Wan Zhao, Xiao Li, Baojuan Li, Hong Yin, Wen-Jun Wu, Long-Biao Cui
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
Major psychiatric disorders create a significant public health burden, and mental disorders such as major depressive disorder, bipolar disorder, and schizophrenia are major contributors to the national disease burden. The search for biomarkers has be
Externí odkaz:
https://doaj.org/article/ab76bf0efed14482963b5f256036cea1
Autor:
Zhongheng Wang, Dongning Zhang, Muzhen Guan, Xiaojiao Ren, Dan Li, Kaiming Yin, Ping Zhou, Baojuan Li, Huaning Wang
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
PurposeRepetitive transcranial magnetic stimulation (rTMS) is an effective therapy in improving depressive symptoms in MDD patients, but the intrinsic mechanism is still unclear. In this study, we investigated the influence of rTMS on brain gray matt
Externí odkaz:
https://doaj.org/article/cb39c62aee5743f2af0bb39893ba46ec
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/0a556aba9a5b470486c054595a890dea
Autor:
Lei Wei, Yao Zhang, Wensheng Zhai, Huaning Wang, Junchao Zhang, Haojie Jin, Jianfei Feng, Qin Qin, Hao Xu, Baojuan Li, Jian Liu
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
IntroductionUnderstanding the neurological basis of autism spectrum disorder (ASD) is important for the diagnosis and treatment of this mental disorder. Emerging evidence has suggested aberrant functional connectivity of large-scale brain networks in
Externí odkaz:
https://doaj.org/article/0418eeeeb5884012bbff3e7b1f883839
Autor:
Jia-Xin Xie, Jin-Jin Cui, Yang Cao, Yue-Wen Gu, Jing-Wen Fan, Lei Ren, Xiao-Fan Liu, Shu-Wan Zhao, Wang-Hong Shi, Qun Yang, Yin-Chuan Jin, Feng-Zhan Li, Lei Song, Hong Yin, Feng Cao, Baojuan Li, Long-Biao Cui
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/70d883d9e1b34190bafa6e7bdb82f97f
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Externí odkaz:
https://doaj.org/article/a50edff6d34042719315280717a9a424
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Machine learning methods have been frequently applied in the field of cognitive neuroscience in the last decade. A great deal of attention has been attracted to introduce machine learning methods to study the autism spectrum disorder (ASD) in order t
Externí odkaz:
https://doaj.org/article/2d918bd8db364a49a03e6fe6e503df76