Author

Jae‐Joong Lee

Institute for Basic ScienceORCID 0000-0002-7353-8683Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Choong‐Wan WooiD· 3 shared Boris C. BernhardtiD· 1 shared Casey PaquolaiD· 1 shared Daniel S. MarguliesiD· 1 shared Dong Hee LeeiD· 1 shared Han Ji-SooiD· 1 shared Michael Peter MilhamiD· 1 shared Myunghwan ChoiiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersNeuroscience

Choong‐Wan WooORCID

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Author profile →

3 papers

Recent·Most cited

In vivo cartography of state-dependent signal flow hierarchy in the human cerebral cortex

Younghyun Oh, Yejin Ann, Jae‐Joong Lee, Takuya Ito, Seán Froudist‐Walsh, Casey Paquola, Michael Peter Milham, R. Nathan Spreng, Daniel S. Margulies, Boris C. Bernhardt, Choong‐Wan Woo, Seok‐Jun Hong

This study introduces a neuroimaging framework to discover state-dependent signal flow hierarchy in the human cerebral cortex using integrated effective connectivity and signal flow mapping.

Nature Neuroscience · Sep 1, 2026Peer-reviewedNeuroscience

Brain Representations of Affective Valence and Intensity in Sustained Pleasure and Pain

Soo Ahn Lee, Jae‐Joong Lee, Han Ji-Soo, Myunghwan Choi, Tor Dessart Wager, Choong‐Wan Woo

This study uses fMRI to identify brain regions and networks associated with affective valence and intensity during sustained pleasure and pain, showing distinct neural coding for each.

Proceedings of the National Academy of Sciences · Jun 10, 2024Peer-reviewedNeuroscience

Dynamic Functional Brain Reconfiguration During Sustained Pain

Jae‐Joong Lee, Sungwoo Lee, Dong Hee Lee, Choong‐Wan Woo

This study examines how functional brain networks reconfigure during sustained pain using machine learning to predict pain experience changes.

eLife · Sep 12, 2022Peer-reviewedNeuroscience