Constructing Time-Varying Directed EEG Network by Multivariate Nonparametric Dynamical Granger Causality

Constructing Time-Varying Directed EEG Network by Multivariate Nonparametric Dynamical Granger Causality

Time-varying directed electroencephalography (EEG) network is the potential tool for studying the dynamical causality among brain areas at a millisecond level; which conduces to understanding how our brain effectively adapts to information processing, giving inspiration to causality- and brain-inspi...

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Bibliographic Details
Main Authors: Chanlin Yi, Yuan Qiu, Wanjun Chen, Chunli Chen, Yifeng Wang, Peiyang Li, Lei Yang, Xiabing Zhang, Lin Jiang, Dezhong Yao, Fali Li, Peng Xu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
ADTF
brain networks
EEG
motor imagery
multivariate nonparametric dynamical Granger causality (mndGC)
Online Access:https://ieeexplore.ieee.org/document/9775715/

Internet

https://ieeexplore.ieee.org/document/9775715/

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