Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Zi‑Gang Huang"'
Autor:
Yi-Xuan Lü, Si-Ping Zhang, Guan-Yu Meng, Bing-Hui Guo, Xiao-Long Liang, Zhi-Xi Wu, Zi-Gang Huang
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Introduction: The emergence of collective behavior often depends on the adequate interaction of individuals through self-organization and the exchange of local information. When facing external threats, communication among individuals requires both r
Externí odkaz:
https://doaj.org/article/0e12191cde2544a0ac8e88b787bdf584
Autor:
Si-Ping Zhang, Bi Mao, Tianlin Zhou, Chun-Wang Su, Chenxi Li, Junjie Jiang, Simeng An, Nan Yao, Youjun Li, Zi-Gang Huang, Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
BackgroundThe brain in resting state has complex dynamic properties and shows frequency dependent characteristics. The frequency-dependent whole-brain dynamic changes of resting state across the scans have been ignored in Alzheimer’s disease (AD).O
Externí odkaz:
https://doaj.org/article/17c253d61ce348c1b418e8b43eb3ee95
Autor:
Youjun Li, Simeng An, Tianlin Zhou, Chunwang Su, Siping Zhang, Chenxi Li, Junjie Jiang, Yunfeng Mu, Nan Yao, Zi-Gang Huang, Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionResearch on the brain activity during resting state has found that brain activation is centered around three networks, including the default mode network (DMN), the salient network (SN), and the central executive network (CEN), and switch
Externí odkaz:
https://doaj.org/article/2097f3f6ea734a3fbea609a20f5b6419
Autor:
Shun Qi, Yao Zhang, Xiang Li, Chuanzhu Sun, Xiaowei Ma, Sanzhong Li, Li Li, Kai Ren, Min Xi, Zi-Gang Huang
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Primary insomnia (PI) is among the most prevalent sleep-related disorders and has a far-reaching impact on daytime functioning. Repetitive transcranial magnetic stimulation (rTMS) has drawn attention because of its effectiveness and safety. The purpo
Externí odkaz:
https://doaj.org/article/83263d0c909845389d06e8e28a2f5b88
Publikováno v:
NeuroImage: Clinical, Vol 36, Iss , Pp 103190- (2022)
Poststroke aphasia is one of the most dramatic functional deficits that results from direct damage of focal brain regions and dysfunction of large-scale brain networks. The reconstruction of language function depends on the hierarchical whole-brain d
Externí odkaz:
https://doaj.org/article/a65ee19786ca4ea1948e38a59b702e27
Autor:
Chao Kong, Yu-Xiang Yao, Zhi-Tong Bing, Bing-Hui Guo, Liang Huang, Zi-Gang Huang, Ying-Cheng Lai
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 5, p e1007793 (2020)
Non-coding RNAs are fundamental to the competing endogenous RNA (CeRNA) hypothesis in oncology. Previous work focused on static CeRNA networks. We construct and analyze CeRNA networks for four sequential stages of lung adenocarcinoma (LUAD) based on
Externí odkaz:
https://doaj.org/article/ad81b4c9fc2742f2a39758c1e7a011a3
Autor:
Xue-Ge Song, Ming-Hui Han, Feng He, Su-Yan Wang, Chao-Hui Li, Gui-Chun Wu, Zi-Gang Huang, Dong Liu, Feng-Quan Liu, Pedro Laborda, Xin-Chi Shi
Publikováno v:
Frontiers in Microbiology, Vol 11 (2020)
Valsa pyri is a fatal canker pathogen that causes significant reduction of crop yield in pear orchards. V. pyri invades the trunk phloem, and is difficult to control by chemical treatment. In this work, it was found for the first time that Bacillus s
Externí odkaz:
https://doaj.org/article/26d236a8ebb44213b6e7d9f9d6535c5f
Autor:
Xiaoqi Zhu, Youjun Li, Liang Zheng, Bixin Shao, Xun Liu, Chenxi Li, Zi-Gang Huang, Tian Liu, Jue Wang
Publikováno v:
IEEE Access, Vol 7, Pp 168839-168848 (2019)
Recently, a novel technology for noninvasive deep brain stimulation (NDBS) with temporally interfering electric fields was developed. This noninvasive technology is able to perform one-point temporal interference (TI) stimulation and stimulates the h
Externí odkaz:
https://doaj.org/article/8c4f88986636413d935054a920ba5205
Publikováno v:
Physical Review Research, Vol 4, Iss 2, p 023028 (2022)
We develop a framework based on the deep convolutional neural network (DCNN) for model-free prediction of the occurrence of extreme events both in time (“when”) and in space (“where”) in nonlinear physical systems of spatial dimension two. Th
Externí odkaz:
https://doaj.org/article/b35eef02dfc54d7cb88f4f56535b651a
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-11 (2016)
Complex networks, including physical, biological and social systems are ubiquitous, but understanding of how to control them is elusive. Here Wang et al. develop a framework based on the concept of attractor networks to facilitate the study of contro
Externí odkaz:
https://doaj.org/article/fd546ca830a640f68c0f401a7559ac1d