Hyeonjin Cathy Kim

Clinical Psychology Ph.D.
Computational Psychiatry

[Hyeonjin Cathy Kim @hjintwit]

My first first-authored paper is officially published in PLOS ONE! 🥳https://t.co/XbLNK6mNln

Huge thanks to my mentor @wooyoungahn and co-authors @jihyuncindy_hur @Mina_Kwon_ @soyeon__kim_ @zohyos7

[Hyeonjin Cathy Kim @hjintwit]

Can we change Pavlovian bias using anodal tDCS on the right dlPFC? Please check out our paper! →
https://t.co/vrUlTHxD7s #biorxiv_neursci
1/n

[Dongil Chung @dongilchung]

🚨 Exciting Announcement! 🚨Join us for the #ComputationalPsychiatry Workshop in Korea on June 22nd, before #OHBM2024!
🌟Speakers: Xiao-Jing Wang, @xiaosigu Hae-Jeong Park @MartaIGarrido @wooyoungahn @ak_poorni @lukejchang
https://t.co/LZcZzsrx0Y
#MentalHealth #Neuroscience

[Suyeon Song @su_yeon_song]

We revealed neuropsychosocial measures linked to problematic gaming in developing youth, both cross-sectionally and longitudinally using the ABCD Study and machine learning! Please join my talk on tomorrow (May 11th) at 3pm at #SOBP2024. @SOBP
@wooyoungahn

[Jihyun K. Hur @jihyuncindy_hur]

Honored to have been selected to present our work in a Flash talk for the first time at the Society of Affective Science 2024 conference!! Grateful for this opportunity to connect with amazing scientists across the world. Deep thanks to my PIs, Jutta Joormann and @RobbRutledge!

[Maëlle Gueguen @maelle_gueguen]

Our recent paper with @bastinj_neuro @antoine_collomb @StePalminteri is being showcased in @NatureComms @CommsBio @SciReports's collection connecting neuroscience, neurology and psychiatry
Go read: Neurological disorders as a window into cognitive function https://t.co/5DHs9fDnRY

[Maëlle Gueguen @maelle_gueguen]

🚨NEW PAPER🚨 in @BiologicalPsyc1 from my postdoc with @_AnnaKonova_ in collab with @StePalminteri @AnlloHernan, in which we examine how recent drug use affects range adaptation in human opioid addiction. @BHI_Rutgers @RutgersARC @HrlTeam @ENS_ULM
https://t.co/2JjAdBr4V5 1/8

[Jeung-Hyun Lee @JeunghyunLee]

Come to our poster (QQ20) on Wednesday afternoon and say goodbye to #SfN2023! Our longitudinal EMA data including ADO-driven (robust & rapid) computational markers predict daily tobacco use w/ time-lagged analysis and treatment outcome after 5-6 weeks.

[Mina Kwon @Mina_Kwon_]

Quitting smoking is hard but some do. Curious who can quit smoking? Join us in room 147B on the final day of #SfN2023! We used neural, computational, facial expression, and EMA markers, and #EMA markers are the strongest predictors!

@SfNtweets

[Maëlle Gueguen @maelle_gueguen]

🚨 New @NatureComms paper on the role of the thalamus during RL 🚨
Work started during my PhD with @bastinj_neuro at @GINeuroGrenoble , @antoine_collomb and @StePalminteri added their expertise in signal processing and modeling. Thanks to all co-authors for this collaboration🧠

[Jeung-Hyun Lee @JeunghyunLee]

Excited to share a new paper out in @NTR_Journal! Do smokers recognize 'smoking'- better than neutral objects from associated contexts, when stressed out? Check out https://t.co/BGAm1AqgJ8. With @SanghoonKang5 , @sang_ah_lee, @Silvia_U_Maier, @ev_goldfarb, and @wooyoungahn 1/4

[Woo-Young (Young) Ahn @wooyoungahn]

Excited to share that my team and I have received $2.65M 5-year 𝗥𝟬𝟭 grant from @NIH/@NIDAnews!! - MPIs Jasmin Vassileva @VCU and myself. We aim to develop rapid and reliable behavioral paradigms for substance use disorders with adaptive design optimization (ADO). Check it out!

[NIDAnews @NIDAnews]

👩‍🔬Researchers👨‍🔬 The ABCD Data Release 5.0 is now available. The #ABCDStudy is the largest long-term study of brain development and child health in the United States. Access the release here: https://t.co/I1vmArL6No (1/2)

[Victoria E. Abraira @VAbraira]

Are you a senior neuroscience graduate student ready to share your work? come visit us at Rutgers! all expenses paid!
https://t.co/zaQPVzW2du

[Jihyun K. Hur @jihyuncindy_hur]

First in-person poster presentation at the Computational Psychiatry Course!

[Hyeonjin Cathy Kim @hjintwit]

Thanks to co-authors @jihyuncindy_hur, @Mina_Kwon_, @soyeon__kim_, @zohyos7, and @wooyoungahn! 6/6

[Hyeonjin Cathy Kim @hjintwit]

Can we change Pavlovian bias using anodal tDCS on the right dlPFC? Please check out our paper! →
https://t.co/vrUlTHxD7s #biorxiv_neursci
1/n

[Hyeonjin Cathy Kim @hjintwit]

These results suggest a causal role of the dlPFC in modulating Pavlovian bias and may have practical/clinical implications for related psychopathology. 5/n

[Hyeonjin Cathy Kim @hjintwit]

A combination of behavioral analysis and computational modeling revealed that the anodal group had a lower Pavlovian bias than the sham group in the punishment domain. 4/n

[Hyeonjin Cathy Kim @hjintwit]

In this double-blind and sham-controlled study, we tested whether upregulating dlPFC using anodal tDCS would reduce Pavlovian bias in the orthogonalized go/nogo task. 3/n

[Hyeonjin Cathy Kim @hjintwit]

Pavlovian bias is a tendency of approaching reward and avoiding punishment, and it sometimes conflicts with the instrumental response. 2/n