Suhwan Gim (@suhwangim.bsky.social)
@SuhwanGimPh.D. candidate. @Cocoanlab, @CNIR_IBS, Sungkyunkwan Univ. Neural and behavioral mechanisms of interindividual variability of pain, cognition, and emotion.
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Our commentary "Interindividual differences in pain can be explained by fMRI, sociodemographic, and psychological factors" on Hoeppli et al. is finally published (rdcu.be/dTwUO). See the thread for more detailed information.
Can we predict inter-individual differences in pain using fMRI brain activation patterns? While Hoeppli et al. (2022) argued against this possibility (rdcu.be/dgx5Z), we have reexamined the question in our recent preprint biorxiv.org/content/10.110… (1/6)
Finally,😄 the first project during my Ph.D. program is published in @PLOSBiology We examined the spatiotemporal brain dynamics of context and sensory information integration in pain. Thanks my advisor @choongwanwoo and co-authors @hong_seok_jun @lizlosin
During #pain, the sensory input is modulated by contextual information. @SuhwanGim @choongwanwoo &co show how expectation & sensory input are integrated in the human brain during #PainPerception, revealing its spatiotemporal architecture #PLOSBiology plos.io/4fsaanu
Excited to share our review paper with @HayoungSong5 and @monicarosenb, now out in @TrendsCognSci🚨! We propose that each brain spatial scale may uniquely contribute to cognitive functions. authors.elsevier.com/c/1k2DP4sIRvTB…
Our brain operates at various spatial scales, from local to global. Do they govern different functions? A broad review on multiscale brain & cognition, out in @TrendsCognSci spanning Cog/Sys/Comp Neuro work in 🐭🐵🧑! Team @JeongjunPark2 @monicarosenb authors.elsevier.com/c/1k2DP4sIRvTB…
I'm pleased to share our lab’s collective effort: ‘Pain Neuroimager Manifesto: Towards Person-Centered Neuroscience of Pain.’ This manifesto reflects our commitment to a person-centered, pluralistic, and nuanced approach to pain neuroimaging research. cocoanlab.github.io/manifesto/
new postdoc position available with me and Siobhan Schabrun on an NIH funded study validated brain based biomarkers in chronic pain. contact me with informal inquiries. grad.uwo.ca/doc/postdoc/op…
Our paper about neuroimaging-based pain biomarkers is finally out in @PAINthejournal 🎉 journals.lww.com/pain/fulltext/… (Open access) This article investigated a systematic evaluation of how different modeling targets and options influence model performance. 👇Threads🧵(1/15)
Happy to share a new review in @TheJournal_Pain led by @KaposFP and involving several others from @IASP_socsig on #social determinants and consequences of #pain, proposing a novel #framework to help guide future research. Great team effort!
Different brain regions encode different pain-related information, such as the expectation of pain or the intensity of a stimulus. But where and how is this information integrated? My paper has just been published in @ScienceAdvances! (1/13) science.org/doi/10.1126/sc…
It's finally out. nature.com/articles/s4146… with @SuhwanGim @sungwoo320, Dong Hee; and see @maryevemh and @Robert_Coghill's reply to us. nature.com/articles/s4146…
Can we predict inter-individual differences in pain using fMRI brain activation patterns? While Hoeppli et al. (2022) argued against this possibility (rdcu.be/dgx5Z), we have reexamined the question in our recent preprint biorxiv.org/content/10.110… (1/6)
Come see my poster #2518 on Wed & Thurs about modeling brain responses of sustained pleasure and pain dynamically changing over time! Working with @choongwanwoo @torwager #OHBM2024
#OHBM2024 🧠🇰🇷 Come to my poster #2519 on Wed/Thurs (June 26-27) about a personalized pain biomarker using densely-sampled fMRI data from one individual🙋🏻♂️ (@choongwanwoo) and its comparison to a population-level model (N=124). @sungwoo320
#OHBM2024 🧠 Check out my poster #2500 (Wed/Thur) on how multi-echo improves the pain prediction model! Working with @SuhwanGim, @dong_hee_lee, @_LeeJaeJoong_ and @choongwanwoo
My first first-authored paper is finally out!🎉 Check it out at pnas.org/doi/10.1073/pn…
📢Exciting news! Our paper on brain decoding of spontaneous thought is now available on Biorxiv. Check it out! (1/7)
Finally, out today in PNAS: "Brain decoding of spontaneous thought: Predictive modeling of self-relevance and valence using personal narratives" @HongjiKim et al. with @ByeolStellaKim, Eunjin Lee, and @esfinn pnas.org/doi/10.1073/pn…
📢Exciting news! Our paper on brain decoding of spontaneous thought is now available on Biorxiv. Check it out! (1/7)
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