Hongji Kim
@hongjikim.bsky.social
Postdoctoral researcher at Columbia University studying human mind with fMRI 🧠
Reposted by Hongji Kim
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...
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...
Connectome-based Predictive Modeling (CPM) Workshop
How-to Workshop Series
Introducing a new series of online workshops designed to showcase emerging protocols and toolboxes developed by our OHBM community. All workshops will be recorded and made avail...
forms.gle
December 6, 2024 at 1:03 PM
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...
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...
April 11, 2024 at 10:58 PM
✨ 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)
🤍 Thanks to my wonderful advisors and collaborators, @choongwanwoo.bsky.social @esfinn.bsky.social @byeolkimlux.bsky.social and Eunjin! (4/4)
March 30, 2024 at 5:54 AM
✨ 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)
🤍 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)
💭 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)
March 30, 2024 at 5:50 AM
🧩 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)
💭 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)
March 30, 2024 at 5:46 AM
📚 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)