Brain-Computer Interface (BCI) technology has rapidly developed in recent years and is considered a cutting-edge technology that allows external devices to be controlled directly by the brain without the need for peripheral nerves and muscles. Particularly in the application of Motor Imagery Electroencephalography (MI-EEG), BCI technology has shown...

Brain-Computer Interface (BCI) has emerged as an enhanced communication and control technology in recent years. In BCI based on electrophysiological characteristics (such as Electroencephalogram, EEG), Motor Imagery (MI) is an important branch that decodes users’ motor intentions for use in clinical rehabilitation, intelligent wheelchair control, c...

Temporal and Spatial Dynamics of Somatosensory Cortex Network in Typically Developing Children Research Background Touch plays a crucial role in our interaction with external objects and the fine control of hand movements. Despite substantial research on the mechanisms of sensory information processing in human skin, it remains unclear how brain re...

Measurement of Human Auditory Evoked Fields Using a Flexible Multichannel Optically Pumped Magnetometer MEG System Xin Zhang and others, from the Suzhou Institute of Biomedical Engineering and Technology of the Chinese Academy of Sciences, University of Science and Technology of China, Jihua Laboratory in Foshan, Guangdong Province, and Guoke Medic...

Interaction Between Gut Microbiota and Colonic Enteroendocrine Cells Regulates Host Metabolism Research Background Obesity is a major health issue in the 21st century and a significant factor contributing to various adverse health consequences such as diabetes, fatty liver disease, and cardiovascular diseases. Therefore, exploring the biological me...

Wireless Injectable Ultrasound Sensor for Intracranial Signal Monitoring Background Introduction Direct and accurate monitoring of intracranial physiological conditions is extremely important for injury classification, prognosis assessment, and disease prevention. However, traditional wired clinical devices, such as percutaneous leads, although per...

Automated Spinal Cord Segmentation Pipeline Based on Convolutional Neural Network (CNN) for Individualized Cat Spinal Cord Stimulation Modeling Background and Research Motivation Spinal cord stimulation (SCS) is a widely used treatment method for chronic pain management. In recent years, it has also been used to modulate neural activity, aiming to ...

Feasibility of Intravascular Femoral Nerve Stimulation using a Stent Electrode Array In recent years, electrical stimulation of peripheral nerves has gained attention as a potential therapeutic approach for restoring impaired nerve function. Traditional electrode arrays typically require invasive surgical implantation, which imposes a significant b...

Neuritogenic Glycosaminoglycan Hydrogels Promote Functional Recovery After Severe Traumatic Brain Injury Traumatic brain injury (TBI) is a serious neurological disorder, and the complexity of its treatment has long plagued the medical community. TBI not only leads to immediate loss of neurological function in patients, but also causes long-term tis...

Influence of Peripheral Nerve Geometry and Local Anatomy on Magnetic Stimulation Time Constant Background Introduction Rapidly switching magnetic resonance imaging (MRI) gradient fields produce sufficiently strong electric fields within the human body, leading to peripheral nerve stimulation (PNS), which limits improvements in imaging speed and res...