Choong-Wan (Wani) Woo
@choongwanwoo
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Study pain and emotions using fMRI and AI; PI of the Cocoan lab, SKKU & IBS Center for Neuroscience Imaging Research (CNIR)
Suwon, South Korea
Joined May 2009
The final (post-proof) version is now finally out. This provides a detailed spatio-temporal profile of brain mediation of the cue-stimulus integration in the pain context. We interpreted the findings in terms of cortical hierarchy.
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RT @SuhwanGim: Finally,😄 the first project during my Ph.D. program is published in @PLOSBiology. We examined the spatiotemporal brain dynam…
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RT @PLOSBiology: During #pain, the sensory input is modulated by contextual information. @SuhwanGim @choongwanwoo &co show how expectation…
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@ajshackman Alex, thank you for your kind words. I’ve been reflecting on them for some time now, and perhaps the moment has come to share these thoughts with the lab and the broader community. I hope other neuroimagers and clinical neuroscientists feel the same way.
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@lilwebian @debyeeneuro @danamsmall @rikepetzschner Thanks for the great work!! Love it! I'm so excited to see more in this line. We have a relevant paper but with a slightly different focus: where we proposed an interoceptive AI framework for building more adaptive and autonomous agents.
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Proud of this paper published in @PAINthejournal Our aim was to offer a useful reference for selecting modeling options in neuroimaging pain biomarkers, though the implications extend beyond pain study. Open access!!
Our paper about neuroimaging-based pain biomarkers is finally out in @PAINthejournal. 🎉 (Open access) This article investigated a systematic evaluation of how different modeling targets and options influence model performance. 👇Threads🧵(1/15)
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Check this out! We apply a dynamical systems approach to human fMRI data, showing that geometrical features of neural trajectory reveal information integration along the cortical hierarchy. Thanks @jungwoo_yc_kim for the initiative and @neuromochi for the great co-supervision!
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)
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This entire process has inspired me to explore new avenues and refine the direction of our pain research in the future. Thank you, @maryevemh and @Robert_Coghill!
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RT @CNIR_IBS: 1/4: 🎉We are thrilled to announce the joining of Dr. Hakwan Lau as the Co-Director of IBS Center for Neuroscience Imaging Res…
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RT @CNIR_IBS: 🎉 Newly Initiated Happy Brain Fund Raising in CNIR We are thrilled to announce that Prof. Seong-Gi Kim, Director of CNIR, has…
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RT @SooAhnLee: Come see my poster #2518 on Wed & Thurs about modeling brain responses of sustained pleasure and pain dynamically changing o…
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RT @YoungeunPark_: #OHBM2024 🧠🇰🇷 Come to my poster #2519 on Wed/Thurs (June 26-27) about a personalized pain biomarker using densely-sampl…
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RT @euigenie_: #OHBM2024 🧠Check out my poster #2500 (Wed/Thur) on how multi-echo improves the pain prediction model! Working with @SuhwanG…
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Thanks @elneurozorro for the shout out. You ARE the legend. @neurosynth compose is hot 🔥🔥🔥🔥!!
@choongwanwoo is an absolute legend Underwent 66 hours of pain stimulus to create the benchmark "My Pain Connectome" dataset #ohbm2024
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