Effective and Successful Control of Symptomatic Vertebral Hemangiomas with Epidural Extension Using Stereotactic Spine Radiosurgery

Vertebral hemangiomas are the most common primary tumors of the spine. Most vertebral hemangiomas are asymptomatic benign lesions, but in a few cases, if the mass grows and extends into the epidural space, compressing the spinal cord or nerve roots, it may lead to neurological symptoms such as pain, sensory abnormalities, or motor deficits. The tre...

Outcomes of Mechanical Thrombectomy for Patients with Stroke Presenting with Low Alberta Stroke Program Early Computed Tomography Score in Early and Late Time Windows

Outcomes of Mechanical Thrombectomy for Stroke Patients with Low Alberta Stroke Program Early CT Score Background Acute ischemic stroke is a life-threatening disease, and large vessel occlusion is one of the major causes of severe disability. Mechanical thrombectomy (MT) has become the standard treatment for acute ischemic stroke, with multiple cli...

Caudal Agenesis: Classification Based on the Pathoembryogenesis of the Spinal Cord

This is a report on a new classification method for caudal agenesis: Caudal agenesis is a congenital disorder characterized by the absence of lower vertebrae. Previous classifications of caudal agenesis were primarily based on the level of bony deficiency or the position of the terminal spinal cord, but there has been debate as to whether these cla...

The Association Between Task Complexity and Cortical Language Mapping Accuracy

Correlation between Task Complexity and Accuracy of Cortical Language Mapping Introduction This study aimed to investigate whether task complexity affects the accuracy of mapping language functions during direct cortical stimulation mapping (DCS). The researchers hypothesized that due to the reduced computational ability of neurons in the cortex in...

A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis

A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis

Major Breakthrough in Neuroscience Research: Deep Learning Technique Achieves Decoding of Natural Speech from Brain Signals A cross-disciplinary research team at New York University recently achieved a major breakthrough in the fields of neuroscience and artificial intelligence. They developed a novel deep learning-based framework that can directly...

Targeting TGFβ-activated kinase-1 activation in microglia reduces CAR T immune effector cell-associated neurotoxicity syndrome

In this study, researchers explored the role of the TAK1 activation pathway in CAR T cell therapy-associated immune effector cell-associated neurotoxicity syndrome (ICANS). They established a mouse ICANS model and found that following the transfer of CAR19 T cells, cerebellar cells were activated, underwent morphological changes, and expressed more...