Deep learning-based EEG emotion recognition: Current trends and future perspectives.

Automatic electroencephalogram (EEG) emotion recognition is a challenging component of human-computer interaction (HCI). Inspired by the powerful feature learning ability of recently-emerged deep learning techniques, various advanced deep learning models have been employed increasingly to learn high-level feature representations for EEG emotion recognition. This paper aims to provide an up-to-date and comprehensive survey of EEG emotion recognition, especially for various deep learning techniques in this area. We provide the preliminaries and basic knowledge in the literature. We review EEG emotion recognition benchmark data sets briefly. We review deep learning techniques in details, including deep belief networks, convolutional neural networks, and recurrent neural networks. We describe the state-of-the-art applications of deep learning techniques for EEG emotion recognition in detail. We analyze the challenges and opportunities in this field and point out its future directions.

FUT8-AS1/miR-944/Fused in Sarcoma/Transcription Factor 4 Feedback Loop Participates in the Development of Oral Squamous Cell Carcinoma through Activation of Wnt/ß-Catenin Signaling Pathway.

As a common type of head and neck squamous cell carcinoma, oral squamous cell carcinoma (OSCC) is a lethal and deforming disease. Long noncoding RNAs have emerged as critical modulators in different malignancies. However, the role of fucosyltransferase 8 antisense RNA 1 (FUT8-AS1) in OSCC still remains elusive. In this study, quantitative RT-PCR and Western blot were used for the measurement of RNAs and proteins. Mechanism assays explored the putative correlation among genes. In vitro assays evaluated the changes in OSCC cell malignant phenotype, whereas in vivo assays highlighted the influence of FUT8-AS1 on tumor growth. FUT8-AS1, aberrantly up-regulated in OSCC tissues and cells, could exacerbate OSCC cell malignant behaviors. The cancerogenic property of FUT8-AS1 in OSCC was further confirmed via animal experiments. Furthermore, FUT8-AS1 enhanced the expression of transcription factor 4 (TCF4) via sponging miR-944 and recruiting fused in sarcoma (FUS), thus affecting OSCC cell biological behaviors via modulation on Wnt/ß-catenin signaling activity. In addition, TCF4 was validated as the transcriptional activator of FUT8-AS1. To conclude, TCF4-mediated FUT8-AS1 could exacerbate OSCC cell malignant behaviors and facilitate tumor growth via modulation on miR-944/FUS/TCF4.