Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Zhihong Wen"'
Autor:
Chunchen Wang, Lingwei Zeng, Xinsheng Cao, Jing Dai, Yang Liu, Zhijun Gao, Yilong Qin, Lin Yang, Hang Wang, Zhihong Wen
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Transcutaneous vagal nerve stimulation (tVNS) is a non-invasive nerve stimulation technique that exerts a positive “exogenous” online neuromodulatory effect on inhibitory control (IC). Additionally, IC training (ICT) is an effective approach for
Externí odkaz:
https://doaj.org/article/bafd72313a284b55b5b38d1cc05ac64b
Autor:
Lingwei Zeng, Chunchen Wang, Kewei Sun, Yue Pu, Yuntao Gao, Hui Wang, Xufeng Liu, Zhihong Wen
Publikováno v:
Brain Sciences, Vol 13, Iss 11, p 1516 (2023)
The aim of this study was to investigate the inner link between the small-world brain network and inhibitory control. Functional near-infrared spectroscopy (fNIRS) was used to construct a neurofeedback (NF) training system and regulate the frontal sm
Externí odkaz:
https://doaj.org/article/9d65ca8021ca47a4ba7b27b273f6cca9
Autor:
Jing Dai, Hang Wang, Lin Yang, Chunchen Wang, Shan Cheng, Taihui Zhang, Jin Ma, Zhihong Wen, Xinsheng Cao, Wendong Hu
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
A prolonged period of vigilance task will lead to vigilance decrement and a drop in cognitive efficiency. Although transcranial direct current stimulation (tDCS) can be used to improve cognitive performance following vigilance decrement, the findings
Externí odkaz:
https://doaj.org/article/50dea8d6617c43e7b1b2b129be48f777
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Inhibitory control training (ICT) is a promising method to improve individual performance of inhibitory control (IC). Recent studies have suggested transcutaneous vagus nerve stimulation (tVNS) as a novel approach to affect cognitive function owing t
Externí odkaz:
https://doaj.org/article/488b7a6c0f0d4c40a6026c0dba6bdc97
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-22 (2018)
Abstract Background Electrical impedance tomography (EIT) is an emerging imaging technology that has been used to monitor brain injury and detect acute stroke. The time and frequency properties of electrode–skin contact impedance are important for
Externí odkaz:
https://doaj.org/article/af19afbdcdc649a2b6f99e1e7dc507b7
Autor:
Zhihong Wen
Publikováno v:
Electronic Journal of Differential Equations, Vol 2017, Iss 290,, Pp 1-6 (2017)
This article consider the two-dimensional (2D) inviscid surface quasi-geostrophic (SQG) model. By studying the decay estimate of the operator $e^{\mathcal{R}_1^{2}t}$, we obtain an improved lifespan of the solutions to the corresponding model. Mor
Externí odkaz:
https://doaj.org/article/d15892978c67489db3eed7e1915bc25e
Autor:
Zhihong Wen, Guantie Deng
Publikováno v:
AIMS Mathematics, Vol 1, Iss 1, Pp 9-23 (2016)
In this paper, we are devoted to establishing several necessary and su cient conditions for f∈Lp(Rn); g∈Lq(Rn) with (1/p) +(1/q)≤1 to satisfy the Bedrosian identity H(fg) =fHg, where H denotes the n-dimensional Hilbert transform. In addition, w
Externí odkaz:
https://doaj.org/article/9a858c9efb2b4b99b98345ffd8de5080
Autor:
Nan Miao, Shan Bian, Trevor Lee, Taufif Mubarak, Shiying Huang, Zhihong Wen, Ghulam Hussain, Tao Sun
Publikováno v:
Frontiers in Molecular Neuroscience, Vol 11 (2018)
The Wingless (Wnt)-mediated signals are involved in many important aspects of development of the mammalian cerebral cortex. How Wnts interact with their modulators in cortical development is still unclear. Here, we show that Wnt7a and secreted frizzl
Externí odkaz:
https://doaj.org/article/61d3f1951c924b41892f7f12a2013763
Autor:
Weiyang, Su, Chienwei, Feng, Chungchih, Tseng, Hanchun, Hung, Zhicheng, Chen, Hsinpai, Lee, Yenhsuan, Jean, Sean, Wu Shingyi, Zhihong, Wen
Publikováno v:
In Journal of Traditional Chinese Medicine April 2018 38(2):197-210
Autor:
Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250651
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf46877ec409bb429e6107420507ae1a
https://doi.org/10.1007/978-3-031-25066-8_5
https://doi.org/10.1007/978-3-031-25066-8_5