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...

EEG of Pre-movement Phase Aids Brain-Computer Interface (BCI) in Recognizing Movement Intentions Background and Research Objectives Brain-Computer Interface (BCI) is a technology that translates human intentions directly through neural signals to control devices, holding extensive application prospects [1]. BCI has the potential to revolutionize va...

Report on Single-Session Cross-Frequency Dual-Focus tACS Modulation of Visuomotor Network Activity in Healthy Young Adults and Stroke Patients Academic Background and Research Significance In neuroscience research, neural oscillations play a crucial role in regulating communication within and between brain regions. Long-distance phase synchronizati...

Visual Brain-Computer Interface Based on High-Frequency Steady-State Visual Evoked Fields Background Brain-Computer Interface (BCI) technology allows users to control machines by decoding specific brain activity signals. While invasive BCIs excel in capturing high-quality brain signals, their application is mainly limited to clinical settings. Non-...

Characteristics, Quantity, and Spatial Distribution of Human Cervical Vagus Nerve and its Cardiac Superior Branch Nerve Fibers Introduction In modern medicine, Vagus Nerve Stimulation (VNS) is widely used to treat various diseases such as epilepsy, obesity, depression, and heart diseases. Although the overall Vagus nerve stimulation method has prov...