The connectivity and shape of brain networks — discrete areas of the brain that work together to perform complex cognitive tasks — can alter in fundamental and recurring ways over time, a study led by Georgia State University suggests.
The researchers gathered functional magnetic resonance imaging (fMRI) brain imaging data to develop pictures of network activity over the course of several minutes, and saw rapid changes in the function, size and location of the networks.
“Assuming each brain region is interacting with the rest of the brain in the same way over time is oversimplified,”
said Armin Iraji, research scientist in the Center for Translational Research in Neuroimaging and Data Science (TReNDS), and lead author of the study. The study’s co-authors include Vince Calhoun, Distinguished University Professor of Psychology and director of TReNDS, and Jessica Turner, associate professor of psychology.
Spatially And Functionally Fluid
Interaction and communication among neurons, known as functional connectivity, gives rise to brain networks. Researchers have long assumed these networks are spatially static and a fixed set of brain regions contribute to each network.
“You can think of the brain like an organization where employees work together to make the whole system run,” said Iraji. “For a long time, we thought brain networks were like departments or offices, where the same people were doing the same job every day. But it turns out that they may be more like co-working spaces, where people move in and out and there are different jobs being performed at any given time.”
Ignoring these spatial and functional variations could result in an incorrect and incomplete understanding of the brain, Iraji added.
“Let’s say we measure functional connectivity between two regions at different times, and we see some variability. One view is to say that the strength of connectivity associated with a specific task changes over time. But what if that region is responsible for different tasks at different times? Maybe there are different people in these two offices on different days, so that’s why we’re seeing the difference in communication,”
The researchers’ findings build on the concept of the chronnectome — a model of the brain in which functional connectivity patterns change over time, which was initially proposed by Calhoun in 2014 — in this work elucidating the “spatial” chronnectome.
The scientists also looked at whether brain networks may differ between patients with schizophrenia and healthy control subjects. While they found contrasts between the two groups, they note that these differences are not present consistently and so it is important to capture these transient changes.
“Most previous studies have looked at average network activity over time. But when you look at the average, you remove all those tiny fluctuations that could be a differentiator between healthy individuals and those with brain disorders,”
Iraji, A, Deramus, TP, Lewis, N, et al.
The spatial chronnectome reveals a dynamic interplay between functional segregation and integration
Hum Brain Mapp. 2019; 40: 3058– 3077. https://doi.org/10.1002/hbm.24580
Image: Georgia State University
Like This Article? Sciencebeta has a free 3 times weekly digest of the most interesting and intriguing articles in psychology, neuroscience, neurology, and cognitive sciences. Want to give it a try? Subscribe right here