Yanli Yang
Taiyuan University of Technology
9 Papers
Yanli Yang is an academic researcher from Taiyuan University of Technology. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 2, co-authored 2 publications.
Chat about Author
Papers
Epileptic Seizure Prediction Based on Permutation Entropy.
TL;DR: The results indicated that applying PE as a feature to extract information and SVM for classification could predict seizures, and the presented method shows great potential in clinical seizure prediction for human.
Trajectories of brain entropy across lifetime estimated by resting state functional magnetic resonance imaging
TL;DR: In this article , permutation entropy (PE) was used to examine age-related variations in functional magnetic resonance imaging (fMRI) in healthy subjects aged 6-85 from global, network, and nodal perspectives.
10
Construction and Multiple Feature Classification Based on a High-Order Functional Hypernetwork on fMRI Data
TL;DR: Compared with conventional hyper network models, the high-order hyper network obtained the best classification performance, 92.18%, which indicated that better classification performance can be achieved if the authors needed to consider multivariate interactions and the time-varying characteristics of neural interaction simultaneously when constructing a network.
Abnormal information interaction in multilayer directed network based on cross-frequency integration of mild cognitive impairment and Alzheimer's disease.
Jiayue Xue,Rong Yao,Xiaohong Cui,Bin Wang,Jing Wei,Xubin Wu,Jie Xiu Sun,Yanli Yang,Jie Xiang,Yi Liu +9 more
TL;DR: Heterogeneity in receiving and outputting information during cross-frequency integration in patients with mild cognitive impairment and Alzheimer's disease was investigated, showing information interaction first increased and then decreased, manifesting in the heterogeneous distribution of inter-frequency nodes for receiving information.
2
Abnormal developmental trajectories under multimodal brain networks in ASD
Zhifeng Li,Yanli Yang,Yan Niu,Min Guo +3 more
- 04 Nov 2022
TL;DR: Wang et al. as discussed by the authors used graph theory to analyze and reconstruct the anatomical structure and functional brain network and then explored the abnormal brain regions of ASD patients with age from two perspectives: SC-Proportion and SC-FC Coupling.