Articles tagged with Neuroimaging
A study using MRI found that procedural learning and declarative learning activate the same neural networks, despite requiring different levels of awareness. The brain's prefrontal cortex, inferior parietal cortex, and putamen were active in both cases, suggesting a shared underlying network.
Researchers have created detailed maps of the brain's cerebral and cerebellar cortex, which will help physicians understand brain damage and guide neurosurgeons. The maps will be freely available online, revolutionizing the field of neuroscience.
A nationwide brain imaging network will share data from patients with schizophrenia to expand understanding of the disease and develop new treatments. The project, led by Steven G. Potkin, aims to create a comprehensive database of brain images and advance research in brain disorders.
Researchers at Stanford University broke the learning process down into smaller steps for adult owls, allowing them to adjust their mental maps more accurately. This method showed promise in overcoming the age-related decline in learning abilities, with implications for treating brain injuries and improving physical therapy outcomes.
Brain scans reveal abnormal brain structure and function at an early stage, suggesting a powerful predictor of future illness. This finding may enable treatment to prevent distressing symptoms like hallucinations from developing.
The Dynamic Brain Atlas project utilizes Grid technology to create customized brain atlases from hundreds of images. This allows radiologists to identify subtle brain abnormalities and improve diagnoses for psychiatric conditions and dementias.
A new study by UCLA researchers has created images showing how an individual's genes affect their brain structure and intelligence. The findings, published in Nature Neuroscience, reveal that genetic differences can significantly impact brain regions controlling language and reading skills.
The Biomedical Informatics Research Network (BIRN) will share digital magnetic resonance images and advanced 3-D microscope images using high-bandwidth networking technologies. Researchers can study linkages between animal models of human diseases and data from patients suffering with these diseases.
A new tool allows early prediction of patient's stroke outcome by combining magnetic resonance imaging (MRI) brain scan, National Institutes of Health Stroke Scale (NIHSS) score, and time from symptoms to scan. The study found that patients with small lesion volumes were five times more likely to recover than those with larger volumes.
The new Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) technology provides detailed maps of brain networks and allows for diagnosis of medical conditions like stroke, as well as assessment of neurological disorders. DT-MRI also holds promise for imaging skeletal muscles, heart, and circulatory system.
Researchers at the University at Buffalo's Toshiba Stroke Research Center have developed a prototype camera that can turn blurred X-ray images of brain stents into clear images, allowing for more accurate diagnoses and treatments. This technology enables viewing of even the tiniest blood vessels in the circulation system.
Researchers at Penn develop groundbreaking new brain tracer Trodat to evaluate brain function in normal and disease states. The imaging agent, derived from tropane, follows the flow of dopamine in the brain and can be used as a diagnostic tool for imaging dopamine transporters.
A new study by Johns Hopkins Medicine found that intravenous doses of cocaine increase dopamine availability in the human brain, boosting activity two to three times over baseline levels. The discovery may advance efforts to understand and treat addiction by blocking euphoric effects of drugs.
A team of researchers from Bowman Gray School of Medicine used sonography to analyze the anatomy of healthy subjects and define normal spinal and paraspinal structures. The study aims to improve the interpretation of sonographic images in patients with back pain.
Researchers from Germany used a prototype magnetic sensor workstation to reconstruct transcranial ultrasound in 3D, significantly improving the identification of intracranial arteries and accuracy of follow-up measurements. The new technology also enables easier comparison of relationships among brain arteries.
Researchers at the University of Cincinnati create a sensor that can monitor medical imaging agents as they travel through the body and accumulate in various tissues. The probes, made from carbon fibers coated with polymer, detect changes in imaging agents and could lead to better heart health monitoring.