University of Missouri researchers are developing new ways to better simulate the complex nature of human brain tissue. For ...

Researchers have developed an AI tool they say can read brain MRIs in a much broader way and look at patterns that could point to future disease.

Where fat hides in the body is emerging as a powerful predictor of how quickly the brain ages. New imaging research links ...

The effect of body fat on brain health may depend not only on the amount of fat an individual has but also on where that fat is stored.

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

A new study published in Translational Psychiatry has found that post-traumatic stress disorder is associated with ...

People with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Long COVID experience a disruption to their brain connectivity during a ...

When most people think about aging, they imagine a linear progression towards an inevitable end. They think in terms of birthdays, knowing that the more candles on the cake, the more we should ...

—While MRI can detect abnormal atrophy during preclinical Alzheimer’s disease, atrophy assessment should be tailored to the targeted disease stage and intended use. Structural magnetic resonance ...

A new study found paramagnetic rim lesions, indicating chronic inflammation, in nearly 75% of children with MS. More lesions, or PRLs, correlate with faster brain atrophy, suggesting aggressive ...

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 ...