Author

Kelsey T. King

Washington University in St. Louis

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:imaging· 1

Frequent Co-Authors

Adam T. EggebrechtiD· 2 shared Ari Segel· 2 shared Alice D. Sperry· 1 shared Andy Eck· 1 shared Babatunde Adeyemo· 1 shared Bahar TunçgençiD· 1 shared Carolina PachecoiD· 1 shared Chloe M. Sobolewski· 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

Mapping brain function underlying naturalistic motor observation and imitation using high-density diffuse optical tomography

Dalin Yang, Tessa G. George, Chloe M. Sobolewski, Sophia R. McMorrow, Carolina Pacheco, Kelsey T. King, Rebecca Rochowiak, Evan Daniels-Day, Sung Min Park, Emma L. Speh, Ari Segel, Deana Crocetti, Alice D. Sperry, Mary Beth Nebel, Bahar Tunçgenç, , Adam T. Eggebrecht

This study uses HD-DOT to examine brain activation during motor observation and imitation in autistic and non-autistic adults, finding task-specific MNS activation and associations with autistic traits.

Imaging Neuroscience · Jan 1, 2025Peer-reviewedNeuroscience

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

J. Jenny Li, Ari Segel, Xinyang Feng, Jiaxin Cindy Tu, Andy Eck, Kelsey T. King, Babatunde Adeyemo, Nicole R. Karcher, Likai Chen, Adam T. Eggebrecht, 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.

Network Neuroscience · Jan 1, 2024Peer-reviewedNeuroscience