A new technology that uses clinical MRI machines to image metabolic activity in the brain could give researchers and clinicians unique insight into brain function and disease, researchers at the ...

A new technology that uses clinical MRI machines to image metabolic activity in the brain could give researchers and clinicians unique insight into brain function and disease, researchers at the ...

Karla Flores was diagnosed with a rare brain tumor. A misplaced MRI found a second, nearly inoperable, tumor on her spine.

Background MRI allows a detailed assessment of brain structures in preterm infants, outperforming cranial ultrasound. Neonatal MR-based brain volumes of preterm infants could serve as objective, ...

At the intersection of AI and medical science, there is growing interest in using machine learning to enhance imaging data captured by magnetic resonance imaging (MRI) technology. Recent studies show ...

Purpose: GM1-gangliosidosis (GM1) leads to extensive neurodegenerative changes and atrophy that precludes the use of automated MRI segmentation techniques for generating brain volumetrics. We ...

The following structures, known to be implicated in the neurodegeneration seen with GM1, were segmented from all patients: whole brain (without ventricles), ventricles, cerebellum, lentiform nucleus, ...

Brain ventricles of infants with hydrocephalus is a disease in which the accumulation of cerebrospinal fluid causes the abnormal expansion of the ventricular region of brain. The 3D MRI volumes are ...

People with long COVID exhibit patterns of changes in the brain that are different from fully recovered COVID-19 patients, according to research being presented next week at the annual meeting of ...

Neural field theory builds upon our conventional understanding of how the brain works. It uses the brain’s physical shape – the size, length and curvature of the cortex, and the three-dimensional ...