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Ki-Young Jung on Muck Rack

Ki-Young Jung

As seen in: Nature, ScienceDirect, Frontiers, BioRxiv, medRxiv, Seizure - European Journal of Epilepsy
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Articles

Longitudinal resting-state EEG–based modeling predicts phenoconversion and delineates heterogeneity in isolated REM sleep behavior disorder

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By Soonhyun Yook, Jung-Won Shin, Gilsoon Park, Sumin Bae, Kang-Min Choi, Han-Joon Kim, Arthur W. Toga, Ki-Young Jung, Hosung Kim, Tae-Gon Noh, Jung-Hwan Shin
| Nature Verified
Abstract Isolated REM sleep behavior disorder is a high-risk prodromal syndrome for Lewy body diseases but highly heterogeneous. Neurophysiologic markers resolving this heterogeneity and predicting phenoconversion remain limited. We applied Subtype and Stage Inference (SuStaIn) modeling to longitudinal resting-state EEG from a prospective cohort of 285 participants.
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Single-channel EEG-based seizure prediction using deep learning

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By Ki-Young Jung, Tae-Joon Kim, Sang Lee, Dabin Jang, Young-Gyu Jeon, Kyeong-Yuk Min
| Nature Verified
Abstract Reliable seizure prediction can improve patient safety by enabling timely protective actions, yet most high-performing approaches depend on multichannel EEG, limiting feasibility in wearable and low-power environments.
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FORECAST-RBD: Forecasting Phenoconversion Risks and Its Clinical Phenotype in Patients with Isolated RBD Using Machine Learning and Explainable AI

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By Jung-Ick Byun, Han-Joon Kim, Ki-Young Jung
| medRxiv
The authors have declared no competing interest. This work was supported by the Brain Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2017M3C7A1029688) and the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (2017R1A2B2012280). I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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