Chuck Lynch

Happy to share that our paper on objective quality assessment for "precision" fMRI is now out in @NeuroCellPress .

A recap of what it does, what's new since the preprint, and code you can run on your own data.

cell.com/neuron/fulltex…

Great work by @zach_ladwig @GrattonCaterina

🧠 How can personalized brain imaging help advance more targeted treatments for #BipolarDisorder?

Excited to share more about our work with @BD2Discoveries. Our team at @WeillCornell (@immanuel_elbau, Lindsay Victoria, @amykooz), in collaboration with @StanfordMed (Cammie Rolle, @DrCoreyKeller), is using individualized brain imaging to better understand brain circuits involved in mood regulation and to inform more precise stimulation-based interventions.

Grateful to be part of this broader effort to move toward more personalized approaches to bipolar disorder care.

I’ll be speaking at CNS 2026 in Symposium Session 6: “Not Your Average Brain: Individual-Level fMRI as a Paradigm Shift for Cognitive Neuroscience” on Monday, March 9, 10am–12pm. Excited for a session centered on how individual-level fMRI can reshape cognitive and clinical neuroscience.

cogneurosociety.org/symposia/?sym=…

This symposium has an all-star group of presenters covering cutting-edge work in precision and individual-level neuroimaging. It should be a really fun and substantive discussion.

@RodBraga
@ArielleKeller
@jingnandu049
Andre Zamani

🚨 New preprint: Objective Quality Assessment for Precision Functional MRI Data

Precision functional mapping (PFM) enables studies of individual-level functional brain network organization but requires substantially more — and higher-quality — data than is standard.

Yet objective criteria for data sufficiency and quality remain unclear.

Here, we introduce a framework for evaluating whether functional connectivity in an individual dataset expresses the large-scale network organization required for interpretable and replicable PFM.