Researchers found disruption in connectivity of the #language network can help predict language function after #stroke. Measuring connectivity disruption with routine clinical MR images may ultimately allow for more targeted treatment. journals.sagepub.com/doi/full/10.11… Tibor Schuster

Thread inspired by a conversation with Amy Kuceyeski on The Orthogonal Bet 🔊podcasts.apple.com/us/podcast/ris…

I had so much fun talking with Sam on his podcast! We discussed my work integrating AI image generators with models of human vision. And also, dogs and sci-fi (two personal favorites).

big one from Andrea Luppi + Bratislav Misic and co nature.com/articles/s4155…

Happy to see this work out now in Brain Communications highlighting data-driven approaches to lesion-outcome mapping in stroke (all with only clinical MRI!) doi.org/10.1093/brainc…

Transitions between cognitive topographies: contributions of network structure, neuromodulation, and disease | doi.org/10.1038/s41551… How does the brain transition between cognitive activation patterns? ⤵️

Thank you for highlighting this important work!

Olafson et al. report that data-driven imaging biomarkers offer stronger associations with #chronicmotor outcomes after #stroke than traditional theory-based #biomarkers. Amy Kuceyeski ENIGMA Consortium Paul Thompson edin.ac/3WRvImB

Glad to see this finally out!

The Ann S. Bowers WBHI Seminar Series will resume in September, and we couldn't be more excited about the incredible lineup of speakers! Our next speaker Dr. Adriene M. Beltz will kick off an inspiring talk on hormonal contraceptives and behavior. shorturl.at/ikD27

Extremely grateful for the Yale Kavli Institute for Neuroscience support that funded my postdoc and got me to where I am today 🧠

Join us this Friday at 10am EST for our first seminar of the semester with Dr. Daniel Coelho de Castro's talk on "MAIRA - multimodel AI for radiology applications". weillcornell.zoom.us/j/96511440268, passcode: 809116