GCF-Net: global-aware cross-modal feature fusion network for speech emotion recognition.

Emotion recognition plays an essential role in interpersonal communication. However, existing recognition systems use only features of a single modality for emotion recognition, ignoring the interaction of information from the different modalities. Therefore, in our study, we propose a global-aware Cross-modal feature Fusion Network (GCF-Net) for recognizing emotion.

Functional segregation of executive control network and frontoparietal network in Alzheimer's disease.

Functional connectivity pattern altered of default mode network (DMN) is gaining more attention as a potential noninvasive biomarker to diagnose incipient Alzheimer's disease. However, the changed functional connectivity except for DMN, the longitudinal changes in executive control network (ECN) and frontoparietal network (FPN) also has attracted wide interest. Moreover, AD-related functional connectivity abnormalities within the DMN are well replicated research, but the (increased/decreased and reduced) functional connectivity in ECN and FPN weren't receive adequate attention.

Investigating executive control network and default mode network dysfunction in major depressive disorder.

Major depressive disorder (MDD) is a mental disorder that causes a persistent feeling of sadness and loss of interest. It affects how you feel, think and behave and can lead to a variety of emotional and physical problems. Previous investigated the MDD has primarily focused on interpreting the abnormal functional connectivity of different brain regions, rather than entire brain networks.