depression

A Functional Connectivity-Based Model with a Lightweight Attention Mechanism for Depression Recognition Using EEG signals
A Functional Connectivity-Based Model with a Lightweight Attention Mechanism for Depression Recognition Using EEG signals 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Numerous studies on depression recognition utilize attention mechanisms as tools for feature extraction. Applying the standard multi-head self-attention mechanism to the spatial domain of EEG data is a feasible approach… read more

Trial-by-Trial Variability of TMS-EEG in Healthy Controls and Patients With Depressive Disorder
Trial-by-Trial Variability of TMS-EEG in Healthy Controls and Patients With Depressive Disorder 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Depressive disorder has been known to be associated with high variability in resting-state electroencephalography (EEG) signals. However, this phenomenon is often ignored in stimulus-related brain activities. This study proposed a… read more

Associations Among Emotional State, Sleep Quality, and Resting-State EEG Spectra: A Longitudinal Study in Graduate Students
Author(s)3: Oleksii Komarov, Li-Wei Ko, Tzyy-Ping Jung
Associations Among Emotional State, Sleep Quality, and Resting-State EEG Spectra: A Longitudinal Study in Graduate Students 651 619 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

University students are routinely influenced by a variety of natural stressors and experience irregular sleep-wake cycles caused by the necessity to trade sleep for studying while dealing with academic assignments.…

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