How old is your brain?

University of Delaware researchers have found that measuring brain stiffness is a reliable way to predict brain age. This information could be used to identify structural differences that indicate departure from the normal aging process, potentially identifying and addressing disorders such as Alzheimer’s disease and Parkinson’s disease.

In recent findings, Curtis Johnson, associate professor of biomedical engineering, and Austin Brockmeier, assistant professor of electrical and computer engineering, show that measuring both brain stiffness and brain volume produces the most accurate predictions of chronological age. Their findings were published in a recent edition of the journal Biology Methods and Protocols. The pair worked with three current and former UD students to reach their conclusions.

“Brain volume is a common measure that we use to study the brain,” Johnson said. “But something has to be happening to cause a brain to shrink. Something is happening at the microscale that causes it to shrink — changes in the tissue that also cause stiffness to change. And that precedes whatever happens when the volume changes.”

“The stiffness maps all seem kind of random — until we see a large number of images and the randomness fades away and we start to see common patterns in stiffness,” Johnson said. “We sort of knew there was more [information] in there than what we were extracting."

A cutting-edge magnetic resonance imaging (MRI) scanner at UD’s Center for Biomedical and Brain Imaging handled the brain scanning. On the artificial intelligence side, the brain maps were analyzed by three-dimensional “convolutional neural networks,” which — as the name suggests — are convoluted and complicated, incorporating many layers and dimensions.

To arrange and interview with Johnson or Brockmeier, send an email to mediarelations@udel.edu