Author

J. Jenny Li

Washington University in St. LouisORCID 0009-0003-0597-0970Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

Adam T. EggebrechtiD· 2 shared Jiaxin Cindy TuiD· 2 shared Muriah D. WheelockiD· 2 shared Abraham Z. SnyderiD· 1 shared Aidan R. LathamiD· 1 shared Alyssa K. LabonteiD· 1 shared Andy Eck· 1 shared Ari Segel· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersNeuroscience

Adam T. EggebrechtORCID

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2 papers

Recent·Most cited

NeuroscienceCerebral CortexPeer-reviewedMay 1, 2025

The Generalizability of Cortical Area Parcellations Across Early Childhood

Jiaxin Cindy Tu, Michael J. Myers, Wei Li…·Muriah D. Wheelock

This study parcellates the cerebral cortex in toddlers using functional connectivity and shows high reproducibility across ages, with area boundaries more similar to adults than neonates.

11 citationstop 3%

humanimaging

𝕏 PostBluesky

NeuroscienceNetwork NeurosciencePeer-reviewedJan 1, 2024

Network level enrichment provides a framework for biological interpretation of machine learning results

J. Jenny Li, Ari Segel, Xinyang Feng…·Muriah D. Wheelock

This study applies machine learning to neuroimaging data to identify brain connectivity biomarkers linked to age, emphasizing the importance of accounting for family variance and using network enrichment for biological interpretation.

11 citations

humanimaging

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