Humans live many more years than mice, but our brain networks are aging much faster. Brain network decline follows a common trajectory across mouse and human adulthood, with features of network organization linked to more rapid decline. www.pnas.org/doi/10.1073/...

How do we define "good" fMRI data? Especially with resting state, there are circularity risks if we evaluate data quality as showing the networks we expect to see. Javier Gonzalez-Castillo (& me & others) developed pBOLD, a new metric that uses multi-echo info. www.biorxiv.org/content/10.6... 1/8

We’re excited to share a summary thread from the Wig Neuroimaging Lab on their latest PNAS publication. Explore the key findings below ⬇️

"These findings point to a general process of functional dedifferentiation over adulthood, occurring at multiple levels of neural organization, from neurons to whole-brain networks."

🎉Huge congratulations to McEwen fellow @ewinternelson.bsky.social and Dr. Gagan Wig of UT Dallas on their recent publication in PNAS on large-scale brain network decline across aging mice and humans and its translational relevance. Read the paper here: shorturl.at/gjau5

The first part of my PhD research is out now in PNAS! See the thread below and stay tuned for my dissertation work, which builds on this cross-species model of brain network aging

By analyzing brain activity throughout the lives of mice, Itamar Kahn, Gagan Wig, Ezra Winter-Nelson & team found that the rodent’s brain ages similarly to that of a human. Studying mice could therefore be a way to learn about how our brains decline as we grow old. @pnas.org tinyurl.com/38xwm5hv

Aging reorganizes human large-scale brain networks, with consequences for cognition & dementia risk. We’ve now mapped brain network changes over a wide range of the mouse lifespan. The changes mirror key features of human aging, but not entirely New @pnas.org paper🧵 www.pnas.org/doi/10.1073/...