Mingyan Jin
4 Papers
3 Citations
Mingyan Jin is an academic researcher. The author has contributed to research in topics: Medicine & Electroencephalography. The author has an hindex of 1, co-authored 4 publications.
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Papers
Hydrogel electrodes with conductive and substrate-adhesive layers for noninvasive long-term EEG acquisition
Mingyan Jin,Han Gao,Kai Sun,Huanan Wang,Xufeng Dong,Chi Zhang,Fengyu Cong +6 more
TL;DR: In this paper , a semidry double-layer hydrogel electrode was developed to record EEG signals at a resolution comparable to that of wet electrodes and is also able to withstand up to 12 hours of continuous EEG acquisition.
Safety and efficacy outcomes after intranasal administration of neural stem cells in cerebral palsy: a randomized phase 1/2 controlled trial
Zhongyue Lv,Ying Li,Yachen Wang,Fengyu Cong,Xiaoyan Li,Wanming Cui,Chao Han,Yushan Wei,Xiaojun Hong,Yong Liu,Lu-yi Ma,Yang Jiao,Chi Zhang,Huanjie Li,Mingyan Jin,Liang-Mou Wang,Shiwei Ni,Jing Hui Liu +17 more
TL;DR: In this article , the authors evaluated the safety and efficacy of intranasal infusion of NSCs in children with cerebral palsy (CP), and the functional brain network analysis based on electroencephalogram (EEG) and voxel-based morphometry (VBM) analysis was performed to evaluate functional and structural changes in the brain.
Greater prefrontal activation during sitting toe tapping predicts severer freezing of gait in Parkinson's disease: an fNIRS study.
TL;DR: These findings suggested that PD patients with FoG require additional cognitive resources to compensate their damaged automaticity in locomotor control, which is more pronounced in severe FoG patients than milder ones.
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Quantitative evaluation of short-term resting-state brain networks for primary insomnia diagnosis
Chi Zhang,Lina Sun,Shuang Ge,Yi-Fong Chang,Mingyan Jin,Yang Xiao,Han Gao,Lin Wang,Fengyu Cong +8 more
TL;DR: In this article , the authors proposed a novel quantitative evaluation method by introducing spatial information from resting-state brain networks of insomniacs to make rapid diagnosis implementable, and the connections were binarized based on an adaptive threshold technology so that the statistical network characteristics were extracted automatically to form a comprehensive measurement index.
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