Very grateful to all members in the team who contributed to this work over the years. We hope multimodal approaches continue to open new opportunities for understanding how neurochemical dynamics relate to whole-brain fMRI activity.
www.nature.com/nprot/volume...
Using fMRI data from 20 mouse models and large human cohorts, a recent study in @natneuro.nature.com identifies two dominant dysconnectivity patterns linked to distinct molecular signatures in #autism.
See our summary and perspectives on the latest work from @gozziale.bsky.social lab: rdcu.be/fiSOL
#7T Translational Alliance of North America Meeting will be held on July 27, 2026. We invite abstract submissions for oral and poster presentations and welcome colleagues in #UHF #MRI and #clinical translation.
📣 Abstracts: [email protected]
📝 Registration: www.med.unc.edu/bric/2026-7t...
Our preprint has grown up, and it is now out in @natneuro.nature.com
Bottom line: variable patterns of brain connectivity in #autism
can reflect distinct underlying biological mechanisms 🧠🐭
Paper: www.nature.com/articles/s41...
Mouse fMRI datasets: tinyurl.com/44dwe6dz
Detailed explainer below👇
Ian Shih
Ian Shih
Pagani et al. used cross-species fMRI to reveal two autism subtypes, characterized by lower and higher brain connectivity and linked to synaptic and immune-related pathways, respectively.
Can we use brain scans to identify biologically distinct "autisms"? And If so, how?
In our latest cross-species study 🐭👨 with @iitalk.bsky.social we dive into these questions!
Find out more here 👇👇
www.biorxiv.org/content/10.1...
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