New paper out! Revisiting the DMN's self-related processing from an embodied view🧠💪 Huge thanks to
@choongwanwoo.bsky.social and @jeongin-lee00.bsky.social for enriching my internal model with great insights and fun discussions along the way!

Our new paper is out in Current Opinion in Behavioral Sciences; a perspective paper on the DMN, titled "Embodying the default mode network: self-related processing from an embodied perspective"
www.sciencedirect.com/science/arti...

✨ Thrilled to Host PREMIER's Inaugural Seminar! ✨

What an honor to welcome @choongwanwoo.bsky.social Ben Becker, Zhou Feng and their brilliant teams for the very first PREMIER: Predictive Modeling in Emotion & Cognition Research seminar at ISTBI, Fudan University! 🧠💡

@cognizelab.bsky.social

In our first workshop will focus on
connectome-based predictive modelling (CPM) lead by the brilliant Xilin Shen from Yale Medical School!

Date: December 11th 9am EST, 2pm GMT, 10pm CST

Register here: forms.gle/CVFYy1y7rTdZ...

New review with @hayoungsong.bsky.social & JeongJun Park!

who are the Korean computational/theoretical neuroscience folks? at all levels (faculty, trainees, etc)

even if they are not on bsky - can we name them so we can make a list?

Video abstract for the paper:
youtu.be/wUr6apaRuAE?si…
Thx to @choongwanwoo.bsky.social !

#SANS2024 @sansmeeting.bsky.social
Check out my poster tmr (P2-C-16) about within- and between-individual variability in trait-behavior-brain relationships during story-reading! 📚🧠🇨🇦 Work with Dr. Kohoutova and @choongwanwoo.bsky.social

✨ Our study paves the way to decoding the affective states during daydreaming and its potential clinical applications. #BrainDecoding #fMRI

🤍 Thanks to my wonderful advisors and collaborators, @choongwanwoo.bsky.social @esfinn.bsky.social @byeolkimlux.bsky.social and Eunjin! (4/4)

🧩 We identified important regions and functional networks, including DMN, VAT, and FPN, that contribute to the predictions.

💭 We also tested our models on three datasets (free-thinking or restings-state, total n = 199), achieving significant predictions of self-relevance and valence! (3/4)

📚 Personal stories collected through 1:1 online interviews were used to induce narrative-like spontaneous thoughts in the fMRI. With fMRI data 🧠 (n = 49), we developed multivariate pattern-based predictive models of self-relevance and valence – two key dimensions of spontaneous thought. (2/4)

📢 Exciting news! My first first-author paper on brain decoding of spontaneous thought is now available on PNAS. Check it out! www.pnas.org/doi/10.1073/...

✅ Summary: We developed fMRI-based predictive models of spontaneous thought using personal stories as stimuli. (1/4)

I hope fellow OHBMers (OHBMites? OHBMians?) are getting excited about OHBM in South Korea later this year! 🇰🇷 See our blog post by @marz_analia on how to prepare for the conference, including accommodation 🏨, logistics 💵🚄✈️, and things to do 🎉📷! medium.com/@ohbmtrainee...

Hi, I’m very pleased to share the preprint of my first project with my PI @choongwanwoo.bsky.social and amazing collaborators Seok-Jun Hong and E.A.R. Losin.

Here we examined the behavioral and neural dynamics of pain as a continuous integration process (1/8)
www.biorxiv.org/content/10.1...

Functional neuroimaging as a catalyst for integrated neuroscience www.nature.com/articles/s41... - fun toi write this with @macshine.bsky.social and @esfinn.bsky.social !