A new study in 'Nature Human Behavior' led by UChicago researchers combines fMRI data and natural language processing to understand how emotions lead to enhanced memory encoding, or "stickiness." Learn more: bit.ly/3Lec2Gf @jadynpark.bsky.social @ycleong.bsky.social

Out now in @nathumbehav.nature.com! We applied graph theoretic analyses to fMRI data of participants watching movies/listening to stories. Integration across large-scale functional networks mediates arousal-dependent enhancement of narrative memories. Open access link: rdcu.be/eKKAw

Excited to share our new paper out in PNAS: “Neural predictors of hidden, persistent psychological states at work.” Full paper at bit.ly/47oaGRR We brought portable fNIRS into the field to predict the subjective work-related “lenses” of business leaders. Check out the thread below for more! 1/8

Excited to share our new review on how neuroimaging and computational models can help uncover how people see what they want to see, now out at @cp-trendscognsci.bsky.social! It was a blast writing this with Haena Kim and @iancballard.bsky.social www.sciencedirect.com/science/arti...

Pharmacological manipulations offer unique, powerful & imo underutilized ways to test the sensitivity & specificity of brain-based biomarkers of behavior. New from an amazing team led by @lyulouisa.bsky.social & @annacorriveau.bsky.social

Now out in #JNeurosci: www.jneurosci.org/content/earl... People infer intentions from other's behaviors. How do individual differences in hostile attribution bias affect how they process social scenarios? w/ Zishan Su, Professor Dawn Neumann, Professor Kim Meidenbauer, @ycleong.bsky.social