Zobrazeno 1 - 10
of 12 220
pro vyhledávání: '"DONG MING"'
Autor:
Nan Hu, Jian-Xin Shi, Chong Chen, Hai-Huan Xu, Zhe-Han Chang, Peng-Fei Hu, Di Guo, Xiao-Wang Zhang, Wen-Wei Shao, Xiu Fan, Jia-Chen Zuo, Dong Ming, Xiao-Hong Li
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract The reconstruction of damaged neural circuits is critical for neurological repair after brain injury. Classical brain-computer interfaces (BCIs) allow direct communication between the brain and external controllers to compensate for lost fun
Externí odkaz:
https://doaj.org/article/81071419df7543c0b06457f3632feea4
Autor:
Kuo Zhang, Wanqi Zhou, Huijie Yu, Meijun Pang, Huixin Gao, Faheem Anwar, Kai Yu, Ziwei Zhou, Fang Guo, Xiuyun Liu, Dong Ming
Publikováno v:
FASEB BioAdvances, Vol 6, Iss 9, Pp 351-364 (2024)
Abstract Hydrocephalus can affect brain function and motor ability. Current treatments mostly involve invasive surgeries, with a high risk of postoperative infections and failure. A successful animal model plays a significant role in developing new t
Externí odkaz:
https://doaj.org/article/5e1da40181c24c5abed7043490261f97
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-12 (2024)
Abstract Background The loss of gait automaticity is a key cause of motor deficits in Parkinson’s disease (PD) patients, even at the early stage of the disease. Action observation training (AOT) shows promise in enhancing gait automaticity. However
Externí odkaz:
https://doaj.org/article/3cc3067072d9498d83748d194197e09f
Autor:
Xiu-Yun Liu, Xin Song, Marek Czosnyka, Chiara Robba, Zofia Czosnyka, Jennifer Lee Summers, Hui-Jie Yu, Guo-Yi Gao, Peter Smielewski, Fang Guo, Mei-Jun Pang, Dong Ming
Publikováno v:
Military Medical Research, Vol 11, Iss 1, Pp 1-17 (2024)
Abstract The global prevalence rate for congenital hydrocephalus (CH) is approximately one out of every five hundred births with multifaceted predisposing factors at play. Genetic influences stand as a major contributor to CH pathogenesis, and epidem
Externí odkaz:
https://doaj.org/article/718655b692974c0fb237b845e273c991
Autor:
Xiuyun Liu, Haodong Li, Meijun Pang, Jinzhen Liu, Xizi Song, Runnan He, Mengqi He, Xiqi Jian, Cheng Ma, Handi Deng, Yixuan Wu, Dong Ming
Publikováno v:
View, Vol 5, Iss 4, Pp n/a-n/a (2024)
Abstract Over the past few decades, the number of patients with neurological diseases has increased significantly, posing huge challenges and opportunities for the development of brain imaging technology. As a hybrid imaging method combining optical
Externí odkaz:
https://doaj.org/article/9771ef0ae1b3433ba3174ff9243db85b
Autor:
Xiu-Yun Liu, Jing-Jing Mu, Jian-Ge Han, Mei-Jun Pang, Kuo Zhang, Wen-Qian Zhai, Nan Su, Guang-Jian Ni, Zhi-Gang Guo, Dong Ming
Publikováno v:
Military Medical Research, Vol 11, Iss 1, Pp 1-4 (2024)
Externí odkaz:
https://doaj.org/article/2a2101f47dd440638324053644f25577
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 4284-4293 (2024)
The supervised decoding algorithms of Steady-State Visual Evoked Potentials (SSVEP) have achieved remarkable performance with sufficient training data. However, these methods have typically failed to achieve acceptable performance in single-trial tra
Externí odkaz:
https://doaj.org/article/3130d07c04744808b48b384be06608e9
Autor:
Zhuang Wang, Yuan Liu, Shuaifei Huang, Huimin Huang, Wenlai Wu, Yuyang Wang, Xingwei An, Dong Ming
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3902-3912 (2024)
Motor imagery (MI) is widely employed in stroke rehabilitation due to the event-related desynchronization (ERD) phenomenon in sensorimotor cortex induced by MI is similar to actual movement. However, the traditional BCI paradigm, in which the patient
Externí odkaz:
https://doaj.org/article/76a74f093fff41fead5c3a573ddc9ef9
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3328-3337 (2024)
Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely used in the identification of mild cognitive impairment (MCI) research, MCI patients are relatively at a higher risk of progression to Alzheimer’s disease (AD). However,
Externí odkaz:
https://doaj.org/article/9c6f3fdf620c4d7c832ae634803620f7
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1407-1415 (2024)
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have emerged as a prominent technology due to their high information transfer rate, rapid calibration time, and robust signal-to-noise ratio. However, a critical chal
Externí odkaz:
https://doaj.org/article/81346f4280b64706a3848f1de3b37fe8