iiinova — where your digital self keeps evolving

Reposted by Yizhou Lyu (Louisa)

Hayoung Song @hayoungsong.bsky.social · 22/05/2026

🎊New Lab Alert! I'll be starting at the 🧡University of Texas at Austin🧡 this August! More info to come. thesonglab.github.io I send my deep gratitude to my mentors, Monica @monicarosenb.bsky.social, YC @ycleong.bsky.social, ShiNung @shinung.bsky.social & Zach @zreagh.bsky.social, for everything.

thesonglab.github.io

Song Lab

1411838

Reposted by Yizhou Lyu (Louisa)

Data Science Institute @dsi-uchicago.bsky.social · 28/10/2025

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

bit.ly

New Research Explores What Makes Emotional Memories Stick - DSI

By Sarah Steimer We can think of emotional experiences as sticky, explains the study’s senior author Yuan Chang (YC) Leong, Assistant Professor in the Department of Psychology and DSI Affiliate Resear...

0105

Reposted by Yizhou Lyu (Louisa)

Jadyn Park @jadynpark.bsky.social · 13/10/2025

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

rdcu.be

Client Challenge

15719

Reposted by Yizhou Lyu (Louisa)

Bear Moon Goldstein @beargoldstein.bsky.social · 14/10/2025

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

1114

Reposted by Yizhou Lyu (Louisa)

Yuan Chang Leong @ycleong.bsky.social · 02/07/2025

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...

sciencedirect.com

A neurocomputational account of motivated seeing

Do goals, beliefs, and desires affect visual experience? This question has long been controversial in cognitive science. There exists extensive litera…

16220

Reposted by Yizhou Lyu (Louisa)

Monica Rosenberg @monicarosenb.bsky.social · 22/05/2025

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

0143

Yizhou Lyu (Louisa) @lyulouisa.bsky.social · 06/02/2024

Big thank you to @ycleong.bsky.social for all the guidance and support on the project! We are also grateful to EnvNeuroLab for sharing the fNIRS device and helping us get started working with fNIRS.

000

Yizhou Lyu (Louisa) @lyulouisa.bsky.social · 06/02/2024

Finally, we found that hostile attribution bias is negatively correlated with attributional complexity, suggesting that people who tend to infer complex attributions were less likely to make hostile attributions.

110

Yizhou Lyu (Louisa) @lyulouisa.bsky.social · 06/02/2024

Using the neural classification approach, we classified participants into high and low levels of hostile attribution bias with 75% accuracy based on fNIRS activity:

110

Yizhou Lyu (Louisa) @lyulouisa.bsky.social · 06/02/2024

To better visualize the results of the IS-RSA, we applied multidimensional scaling (MDS) to the neural distance matrix of the left VMPFC (channel 11). We found that participants with similar hostile attribution biases were indeed closer in neural distance:

100

Yizhou Lyu (Louisa) @lyulouisa.bsky.social · 06/02/2024

Using IS-RSA, we show that participants with similar levels of hostile attribution bias exhibited higher levels of neural synchrony in the left VMPFC while listening to the stories:

100

Yizhou Lyu (Louisa) @lyulouisa.bsky.social · 06/02/2024

We used fNIRS to measure the neural responses of participants listening to 21 hypothetical social scenarios where a character’s actions resulted in a negative outcome for the listener.

100