International Consensus on Resistance, Rebound, and Recurrence in Pediatric Low-Grade Glioma with MAPK Inhibition Therapy: Established Using a Modified Delphi Method Academic Background Pediatric low-grade glioma (PLGG) is the most common type of tumor in the central nervous system of children. Although these tumors have a relatively high overall s...

Study on Metabolic Differences between IDH Mutant and Wild-type Glioma Cells Using Raman Spectroscopy and Machine Learning Platform Background Introduction In the diagnosis and treatment of gliomas, formalin-fixed, paraffin-embedded (FFPE) tissue sections are commonly used. However, due to background noise interference from the embedding medium, th...

Microcirculatory Disorders of Cerebral Blood Flow and the Hypoxic-Ischemic Microenvironment Related to Brain Metastasis Development Background and Research Motivation Brain metastasis (BM) is an increasing challenge in oncology due to its severe impact on neurological function, limited treatment options, and resulting poor prognosis. BM develops th...

Analysis of Risk Factors Related to Specific Domain Neurocognitive Outcomes in Pediatric Survivors of Posterior Fossa Brain Tumors – HIT 2000 Trial Results Research Background Brain tumors are the most common solid tumors in childhood, particularly central nervous system (CNS) tumors. Studies have shown that patients who receive craniospinal irradi...

This paper aims to explore the physiological importance of glycolysis in neuronal metabolic processes. For a long time, although neuronal activity mainly relies on glucose for energy, neurons have relatively weak glucose metabolism, mainly through glycolysis rather than other metabolic pathways. This phenomenon can be attributed to the sustained de...

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 ...

Application of Attention-guided Graph Structure Learning Network for EEG-enabled Auditory Attention Detection Academic Background The “cocktail party effect” describes the human brain’s ability to selectively concentrate attention on one speaker while ignoring others in a multi-talker environment. However, for individuals with hearing impairments, ...

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...

Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding Background Introduction Electroencephalogram (EEG) signals are widely used in brain-computer interface (BCI) tasks due to their non-invasive nature, portability, and low acquisition cost. However, EEG signals suffer from low signal-to-noise ratio, sensitivity to electr...