Ultrasound-Guided Mechanical High-Intensity Focused Ultrasound (Histotripsy) Through an Acoustically Permeable Polyolefin-Based Cranioplasty Device

Research Report: Feasibility Study of Intracranial Focused Ultrasound Ablation under Ultrasonic Guidance through Polyolefin-Based Cranial Implants Academic Background Histotripsy is a non-thermal, non-invasive cancer tumor ablation technology. When applied intracranially, it is limited by the skull’s significant absorption and reflection of ultraso...

A High Signal-to-Noise Ratio Spatial Encoding Technique for Magnetic Particle Imaging

Space-Specific Mixed Excitation Technique for High Signal-to-Noise Ratio Spatial Encoding in Magnetic Particle Imaging Background Introduction Magnetic Particle Imaging (MPI) is an emerging, radiation-free tracer imaging technology that visualizes the spatial distribution of superparamagnetic iron oxide nanoparticles (SPIOs) to achieve high-sensiti...

Mechanosensitive Ion Channels Piezo1 and Piezo2 in Vivo Mediate Motor Response During Transcranial Focused Ultrasound Stimulation of Rodent Cerebral Motor Cortex

Mechanosensitive Ion Channels Piezo1 and Piezo2 in Vivo Mediate Motor Response During Transcranial Focused Ultrasound Stimulation of Rodent Cerebral Motor Cortex

Piezo1 and Piezo2 Mechanosensitive Ion Channels Regulate the Response of Rodents to Transcranial Focused Ultrasound Stimulation of the Motor Cortex Academic Background Transcranial Focused Ultrasound (TFUS) neuromodulation is a non-invasive, deep brain stimulation technique that shows great potential in the study of neural circuits and the treatmen...

Estimation of Photon Path Length and Penetration Depth in Articular Cartilage Zonal Architecture Over the Therapeutic Window

Academic News Report: Study on the Optical Transmission Characteristics of Cartilage Introduction Cartilage is a complex biological tissue composed of cells and a substantial extracellular matrix. Its main components include collagen fibers, proteoglycans, and water, which form layered structural partitions at the microscopic level. The propagation...

Quantification and Diagnosis of Mobility Deficits

Background and Research Motivation Parkinson’s Disease (PD) is a neurodegenerative disorder primarily affecting patients’ motor abilities, leading to tremors, bradykinesia, limb rigidity, and problems with gait and balance. These motor deficits significantly impact patients’ ability to live independently and their quality of life. Statistics predic...

T-Wave Peak-to-End Changes Quantified by Time-Warping Predicts Ventricular Fibrillation in a Porcine Myocardial Infarction Model

Prediction of Ventricular Fibrillation in Myocardial Infarction Model in Pigs Based on T-peak-to-T-end Interval Variation Using Time Warping Technique Background Introduction Source of the Paper Sudden Cardiac Death (SCD) is a leading cause of mortality worldwide, with one of its primary pathogenic mechanisms being Ventricular Fibrillation (VF), es...

Imaging Bioluminescence by Detecting Localized Haemodynamic Contrast from Photosensitized Vasculature

Imaging Bioluminescence by Detecting Localized Haemodynamic Contrast from Photosensitized Vasculature

Academic News Report: New MRI Technology Achieves Biological Fluorescence Imaging by Detecting Local Hemodynamics of Photosensitive Blood Vessels Academic Background Introduction Bioluminescent probes are widely used for monitoring biomedical processes and cellular targets in living animals. However, the absorption and scattering of visible light b...

Self-Supervised Learning of Accelerometer Data Provides New Insights for Sleep and Its Association with Mortality

Self-Supervised Learning of Accelerometer Data Provides New Insights for Sleep and Its Association with Mortality

Insights into the Association Between Sleep and Mortality Revealed by Self-supervised Learning of Wrist-worn Accelerometer Data In modern society, sleep is an essential basic activity for life, and its importance is self-evident. Accurately measuring and classifying sleep/wake states and different sleep stages is crucial for diagnosing sleep disord...

Development and Validation of Machine Learning Algorithms Based on Electrocardiograms for Cardiovascular Diagnoses at the Population Level

Development and Validation of Large-Scale Machine Learning Algorithms for Cardiovascular Diagnosis Based on Electrocardiograms Introduction Cardiovascular diseases (CV) have long been a major source of global disease burden. Early diagnosis and intervention are crucial for reducing complications, healthcare utilization, and associated costs. Tradit...

Staged Bilateral MRI-Guided Focused Ultrasound Subthalamotomy for Parkinson Disease

MRI-Guided Staged Bilateral Focused Ultrasound Subthalamotomy for Parkinson’s Disease Background Parkinson’s Disease (PD) is a common neurodegenerative disorder, characterized mainly by motor symptoms such as tremor, rigidity, and bradykinesia. Traditionally, treatments for PD include medication and surgical interventions such as Deep Brain Stimula...