A new AI model could help radiologists identify brain abnormalities in MRI scans for all conditions including stroke, multiple sclerosis and brain tumors. The study, led by researchers at King's ...

Please provide your email address to receive an email when new articles are posted on . Memory, attention and psychomotor speed were the most frequently affected cognitive domains linked to MRI ...

Multiple sclerosis, a complex neurological condition affecting nearly 3 million people worldwide, has long been characterized by its elusiveness. Even as medical imaging technology has advanced ...

This MRI scan of a human brain shows in red an area that could be a potential lesion, and a possible cause of epilepsy. And a new artificial intelligence tool developed in the UK can help spot the ...

A new study published in Lupus Science & Medicine found an advanced neuroimaging method called a structural MRI can identify total and regional brain abnormalities associated with cognitive ...

"We plan to analyze these MRI structural measures longitudinally to determine if changes in brain volumes or lesion burden over time contribute to fatigue trajectories. More broadly, we might ...

AUSTIN, Texas, Oct. 25, 2023 (GLOBE NEWSWIRE) -- Cassava Sciences, Inc. (SAVA), a clinical-stage biotechnology company, today announced a potentially significant safety finding based on interim ...

Future Neurology. 2012;7(6):679-700. Isolated CN palsies are rare signs of MS. [143] Lesions within the brainstem may cause injury to the CN III, CN IV or CN VI nuclei or fascicles resulting in ...

Arachnoid cysts are also known as leptomeningeal cysts. They are CSF-filled extra-axial cysts commonly located adjacent to the brain and skull in the middle and posterior fossa, suprasellar region, ...