Decoding Brain Dynamics in Speech Perception Based on EEG Microstates Decomposed by Multivariate Gaussian Hidden Markov Model

Decoding Brain Dynamics in Speech Perception Based on EEG Microstates Decomposed by Multivariate Gaussian Hidden Markov Model

This study aims to reveal dynamic brain networks during speech perception. All male subjects were presented five English vowel [a], [e], [i], [o], and [u] stimuli. Brain dynamics were decoded using multivariate Gaussian hidden Markov model (MGHMM), which trained on spatiotemporal patterns of broadba...

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Bibliographic Details
Main Authors: Nguyen Thanh Duc, Boreom Lee
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Speech perception
EEG microstate
source imaging
microstate functional connectivity
MGHMM
Online Access:https://ieeexplore.ieee.org/document/9163116/

Internet

https://ieeexplore.ieee.org/document/9163116/

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