Our new paper on brain networks engaged during imagining is out now in Neuron!
Here is a download link (free for 50 days):
authors.elsevier.com/c/1msNE3BtfH...
Congratulations to Nate Anderson for leading this work @rementurus.bsky.social
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Posts by Jingnan Du
Are you interested in detecting brain changes in individuals with higher precision over shorter intervals?
Check out our new paper in Nature Communications. With Randy Buckner, @jingnandu.bsky.social, and others.
Link - doi.org/10.1038/s414...
Such a fun symposium! Thank you Andre and @jingnandu.bsky.social for bringing us together for a great #CNS2026! ๐ง ๐
It was fun! Great discussion with everyone.
Wonderful time at the #CNS2026 Individual-level precision fMRI symposium yesterday with this lovely lineup. See you at the next one!
Thank you, Lauren!
Thank you, Shirley!!
๐จ New preprint: Objective Quality Assessment for Precision fMRI
Precision functional mapping (PFM) enables individual-level brain network studies โ but demands more, and better, data.
We introduce an objective framework to determine when a dataset truly supports interpretable, replicable PFM.
Thank you, Adrian!
Thank you, Lin!
Thank you, Haoxue!! : )
Thank you, Ev!!
Thank you, Wendy!!
@laurendinicola.bsky.social @wendysun23.bsky.social @annebillot.bsky.social @agilmore.bsky.social @coryshain.bsky.social @feilong.bsky.social @vaibhavtripathi.bsky.social Buckner Lab, Ev Lab (and many more!)
A huge thank you to my amazing mentors, collaborators and folks who shared materials and feedback: Randy Buckner Mark Eldaief @evfedorenko.bsky.social @maxwellelliott.bsky.social @kosakowski.bsky.social Noam Saadon-Grosman
I am thrilled to share that Iโll be joining the University of Notre Dame (@notredame.bsky.social) as an Assistant Professor of Psychology this July!โ๏ธ๐ง Please reach out if you're interested in joining my lab! More details to follow soon.
Could not be more excited about Colton's @coltoncasto.bsky.social work! A deep dive into the linguistic cerebellum, and a discovery of an area remarkably functionally similar to the core left-hemisphere language areas, including in its selectivity for language. Go Colton and team!
** Recruiting a Postdoctoral Researcher! **
We are seeking a postdoc to help examine how brain networks might change within individuals across transitional times, such as adolescence & pregnancy!
Please share widely and apply at the link! #NeuroJobs
uva.wd1.myworkdayjobs.com/UVAJobs/job/...
I am recruiting a Postdoc to join my lab at UMN. If you or someone you know is interested in studying individual differences in brain and cognitive aging, check out the listing and my website in my bio and apply!
I appreciate RTs to help get the word out as well :)
Why do brain networks vary? Do these differences shape behavior? If every ๐ง is unique, how can we detect common features of brain organization?
@rodbraga.bsky.social and I dig in, in @annualreviews.bsky.social (ahead of print):
go.illinois.edu/Gratton2025-...
#neuroskyence #psychscisky #MedSky
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๐ฃ New preprint from the Braga Lab! ๐ฃ
The ventral visual stream for reading converges on the transmodal language network
Congrats to Dr. Joe Salvo for this epic set of results
Big Q: What brain systems support the translation of writing to concepts and meaning?
Thread ๐งต โฌ๏ธ
Thrilled to team up with @caterinagratton.bsky.social @ariellekeller.bsky.social and Chuck Lynch for a symposium at CNS 2026! Please consider voting for our session!
My lab at USC is recruiting!
1) research coordinator: perfect for a recent graduate looking for research experience before applying to PhD programs: usccareers.usc.edu REQ20167829
2) PhD students: see FAQs on lab website dornsife.usc.edu/hklab/faq/
โฌ๏ธ Check out this great paper by Jingnan Du et al. It shows you can use fMRI task data to estimate networks as reliably as with rest data! A game changer to increase statistical power in regions with low SNR and leverage datasets that may only have task data.
Amazing work led by Jingnan! Pooling in task and rest data can give us a lot of discovery potential like discovering hard to find networks in the thalamus (bulk of my postdoc work with Randy). Task data can be used to define networks and activations from left out runs can be investigated. Cool work!
Thank you, Rocco!
Looking forward, future data collections might consider acquiring only task data and using that data to both estimate networks and also to quantify the evoked task response from regions within those networks. (13/13)
Overall, our findings suggest that there is an underlying, stable network architecture that is unique to the individual and persists across task states. For existing datasets with both task and resting-state data, power can be increased by combining all available data. (12/13)
A single MRI session of โผ1 h in length can thus be used both to estimate precision brain networks and quantify meaningful task responses. This strategy is particularly useful in translational studies seeking to minimize patient burden. (11/13)