Fusing Joint Features of Eeg Brain Functional Connectivity Networks for Anxiety Recognition. Abstract: Anxiety is one of the common mental disorders ...
In brief, the proposed method can be used to accurately screen and diagnose adolescent anxiety disorders at an early stage, which provides it clinical value.
Conclusions: The emotion-modulated coupling between the PFC and EBA during maintenance deepens our understanding of the functional organization underlying the ...
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Can an EEG detect anxiety?
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Oct 1, 2024 · Innovatively, this study introduced the “Differential Channel” method, which enhances classification performance by enhancing the information ...
Apr 9, 2021 · In this paper, we propose a framework for functional connectivity network (FCN) analysis, which conducts the brain disease diagnosis on the ...
We find that phase-coupling of EEG clusters into distinct FC networks that are consistent across frequency bands, hemispheres, and tasks but differ across ...
The main purpose of this work is to explore the classification capabilities of GCN networks for identity recognition when using multiple FCs as graph structures ...
Missing: Anxiety | Show results with:Anxiety
There is a growing interest in using electroencephalography (EEG) and source modeling to investigate functional interactions among cortical processes, ...
Fusing Joint Features of Eeg Brain Functional Connectivity Networks for Anxiety Recognition ... EEG-Based Eye Movement Recognition Using Brain–Computer ...
May 14, 2024 · The functional connectivity networks are fused with orthogonal power envelopes correlation across five different frequency bands. Furthermore, ...
Missing: Recognition. | Show results with:Recognition.