Recently, various biosignals have been combined with electroencephalography (EEG) to build hybrid brain-computer interface (BCI) systems to improve system performance. Since steady-state visual evoked potential (SSVEP) and surface electromyography (sEMG) are easy-to-use, non-invasive techniques, and have high signal-to-noise ratio (SNR), hybrid BCI systems combining SSVEP and sEMG have received much attention in the BCI literature. However, most existing studies regarding hybrid BCIs based on SSVEP and sEMG adopt low-frequency visual stimuli to induce SSVEPs. The comfort of these systems needs further improvement to meet the practical application requirements. The present study realized a novel hybrid BCI combining high-frequency SSVEP and sEMG signals for spelling applications. EEG and sEMG were obtained simultaneously from the scalp and skin surface of subjects, respectively. These two types of signals were analyzed independently and then combined to determine the target stimulus. Our online results demonstrated that the developed hybrid BCI yielded a mean accuracy of 88.07 ± 1.43% and ITR of 159.12 ± 4.31 bits/min. These results exhibited the feasibility and effectiveness of fusing high-frequency SSVEP and sEMG towards improving the total BCI system performance.

In this paper, the wireless power transmission system and the model of mouse with its main organs are established to simulate the electromagnetic field and electromagnetic thermal effect. The mouse is placed at the system, and the peak value of the induced electric field intensity and temperature rise of each organ are calculated. The results show that the peak value of the induced electric field intensity of the liver is the largest, which is $1.43~V/m$ . Temperature rise of the kidney is the largest, which is $2.736 \times {10^{ - 6}}^{\circ }\text{C}$ . And the results indicate that the shielding plate can effectively reduce the peak value of induced electric field intensity and temperature rise of the main organs. Then, a biosafety experimental platform for the wireless power transmission system is set up to analyze changes in biological tissue structure, immune factors, and sex hormone content. The results show that the level of immune factors in mice increase significantly, and the level of testosterone and progesterone decrease. The heart tissue structure does not change, but the liver, spleen, ovary, and testes are affected. And the liver shows the greatest morphological changes, which is consistent with the simulation results. This study provides a theoretical basis for the security assessment of the wireless power transmission system.

AIM: To evaluate the effect of umbilical cord derived mesenchymal stem cells (UC-MSCs) transplantation on traumatic brain injury (TBI). MATERIAL and METHODS: UC-MSCs were isolated from human umbilical cord and TBI rat model was constructed. 30 male SD rats were randomly divided into 3 groups: control group, TBI group and MSCs transplantation group. Rats in MSCs group received the injection of a total of 1.5 x 106 MSCs (25 pl) via ventricle at operated ventricular coordinates (0 at bregma, 1.5 mm at lateral, 1.1 mm at behind, 4.5 mm in depth). RESULTS: 80% confluence of cells was formed from tissue at day 10 and the amount of CD90, CD73, CD105 positive cells increased correspondingly. In TBI model, clear hyperemia, edema and obvious infiltration of inflammatory cells in brain tissue were found. However, the manifestations were alleviated after the treatment of MSCs. In MSCs group, GFP in the brain tissue and the area around the vessels were found after the injection, while the expression levels of micro-vessel density (MVD), brain-derived neurotrophic factor (BDNF) and glial fibrillary acidic protein (GFAP) were elevated. CONCLUSION: UC-MSCs transplantation for treatment of acute TBI could effectively reduce the injury and improve the vascular reconstruction.

Against the backdrop of global population aging, understanding the mechanisms of age-related cognitive decline has become crucial for improving the health and quality of life in older adults. This study employed a multimodal approach to investigate the neural mechanisms underlying age-related decline during a motor-cognitive dual-task. By integrating behavioral assessments, electroencephalography(EEG), and body composition analysis, we comprehensively evaluated performance and neural correlates in 19 younger and 18 older adults. Key findings include: 1) Older adults exhibited significantly inferior performance in task accuracy, reaction time, and composite performance score compared to younger adults ( p < 0.001); 2) Neural oscillatory analysis revealed a localized increase in gamma-band power at posterior-temporal sites (PO4/T6) in older adults, while younger adults exhibited widespread multi-band (delta to beta) power modulation across frontal, central, and temporal regions in younger adults; 3) Brain network analysis demonstrated synergistic enhancement of multi-band (Theta, Alpha, Beta, Gamma) connectivity and optimized topological organization in younger adults, contrasting with network rigidity and localized compensatory patterns in older adults; 4) Correlation analyses indicated significant associations between dual-task performance and MoCA-B scores in older adults (r = 0.861, p < 0.001). This study innovatively elucidates the neurophysiological characteristics of brain aging under dual-task conditions. The motor-cognitive dual-task paradigm proves to be a sensitive tool for capturing early cognitive changes, holding significant promise for clinical screening.