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Byeongwook Lee

  • Computational and Network Neuroscience
  • Brain state dynamics
  • Cognitive aging and brain resilience
  • Dynamic functional connectivity
  • Network neuroscience

Biosketch

  • Dr. Byeongwook Lee is an Assistant Professor in the Department of Brain and Cognitive Sciences at KAIST, specializing in Computational and Systems Neuroscience.
  • Dr. Lee received his B.S. in Electrical Engineering and his M.S. and Ph.D. in Bio and Brain Engineering from KAIST, where he conducted graduate research under the supervision of Professor Kwang-Hyun Cho on the design principles of complex brain networks. He then completed his postdoctoral training in the Professor Vinod Menon’s laboratory at Stanford University, developing computational models to quantitatively characterize dynamic neural activity during cognitive task performance and applying them to real-world neuroimaging data.
  • Dr. Lee’s current research focuses on understanding the mechanisms underlying dynamic neurocognitive processes through computational approaches, with a particular emphasis on how these processes are maintained, compensated, or disrupted in aging populations.
  • Dr. Lee’s ultimate goal is to uncover the dynamic principles of cognitive functions in the brain, thereby advancing our fundamental understanding of the human brain and contributing to the discovery of biomarkers for healthy brain aging and the development of personalized therapeutic strategies for neurodegenerative diseases.
CV Download

Key Papers

  • [Dynamic neurocognitive processes in aging and neurodegeneration]
  • Lee, B., Young, C. B., Cai, W., Yuan, R., Ryman, S., Kim, J., ... & Menon, V. (2025). Dopaminergic modulation and dosage effects on brain state dynamics and working memory component processes in Parkinson's disease. Nature Communications, 16(1), 2433.
  • Lee, B., Cai, W., Young, C. B., Yuan, R., Ryman, S., Kim, J., ... & Menon, V. (2022). Latent brain state dynamics and cognitive flexibility in older adults. Progress in neurobiology, 208, 102180.
  • [Dynamic organization of the default mode network]
  • Nghiem, T. A. E.*, Lee, B.*, Chao, T. H. H.*, Branigan, N. K., Mistry, P. K., Shih, Y. Y. I., & Menon, V. (2024). Space wandering in the rodent default mode network. Proceedings of the National Academy of Sciences, 121(15), e2315167121. (*: Co-first authors)
  • Chao, T. H.*, Lee, B.*, Hsu, L. M.*, Cerri, D. H., Zhang, W. T., Wang, T. W., ... & Shih, Y. I. (2023). Neuronal dynamics of the default mode network and anterior insular cortex: Intrinsic properties and modulation by salient stimuli. Sci. Adv. 9, eade5732. (*: Co-first authors)
  • Menon, V.*, Cerri, D.*, Lee, B.*, Yuan, R., Lee, S. H., & Shih, Y. Y. I. (2023). Optogenetic stimulation of anterior insular cortex neurons in male rats reveals causal mechanisms underlying suppression of the default mode network by the salience network. Nature Communications, 14(1), 866. (*: Co-first authors)
  • [Design principles of brain networks]
  • Lee, B., Kang, U., Chang, H., & Cho, K. H. (2019). The hidden control architecture of complex brain networks. Iscience, 13, 154-162.
  • Lee, B., Shin, D., Gross, S. P., & Cho, K. H. (2018). Combined positive and negative feedback allows modulation of neuronal oscillation frequency during sensory processing. Cell Reports, 25(6), 1548-1560.
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