Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.

Researchers use MEG imaging to show that the brain reactivates "forgotten" memories, but they only reach consciousness if they pulse at a specific rhythm.

NYU Langone neuroscientists identified the brain region likely responsible for recognizing images after seeing them once, ...

Healthcare leaders have spent years trying to figure out how to manage the rising cost of aging, especially when it comes to ...

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...

Researchers used AI and deep learning to find a link between brain structure and navigation skills but found no measurable ...

Scientists at Rice University have produced the first full, dye-free molecular atlas of an Alzheimer’s brain. By combining ...

Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' A University of ...

A new study reveals that attention-deficit/hyperactivity disorder actually consists of at least two distinct structural brain subtypes, each with unique physical characteristics and behavioral ...

What can a honey bee tell us about human learning? According to researchers at Virginia Tech and Arizona State University, ...