Aug 11, 2020 · Therefore, in this study, BNs were constructed based on stable and unstable EEG components, and these may be implemented for disease diagnosis.
Abstract—Objective: Previous studies have already shown that electroencephalography (EEG) brain network (BN) can reflect the health status of individuals.
Aug 11, 2020 · These newly developed BNs were constructed based on stable and unstable EEG components, and these may be implemented for disease diagnosis ...
We found that lead exposure enhances the formation of aSyn inclusions, resulting in an increase in both their number and size in cell models. In addition, we ...
Brain Network Analysis by Stable and Unstable EEG Components
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Therefore, in this study, BNs were constructed based on stable and unstable EEG components, and these may be implemented for disease diagnosis. Methods: ...
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Dec 19, 2023 · Connectivity analysis methods have emerged as a powerful tool for studying brain networks, which are important components of brain cognition.
Brain Network Analysis by Stable and Unstable EEG Components. S Liu, M Li, Y ... EEG in the Global Brain Consortium, aiming to strengthen linkages ...
Dec 4, 2020 · In this paper, from the perspective of complex network dynamics we investigated the formation of the synchronization state of the brain ...
Jan 1, 2023 · This paper demonstrates disordered network repertoires in schizophrenia during learning and memory. Graph theoretic analysis was applied to fMRI ...
In this study, we applied an eigenvector-based dynamical network analysis method to investigate the functional connectivity calculated from ...
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