Author

Diana M Karosas

University of MichiganORCID 0009-0000-5724-3853Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:non-human primate· 1 Approach:statistical model· 1

Frequent Co-Authors

Christopher BergeviniD· 1 shared Kenneth S. HenryiD· 1 shared Laurel H. CarneyiD· 1 shared Leslie GonzalesiD· 1 shared Maria Luisa SaggioiD· 1 shared William C. StaceyiD· 1 shared Yingxuan WangiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperNeuroscience

Christopher BergevinORCID

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2 papers

Recent·Most cited

NeurosciencePLoS Computational BiologyPeer-reviewedSep 21, 2026

Seizure recruitment properties are dependent upon dynamotype: A modeling study

Diana M Karosas, Maria Luisa Saggio, William C. Stacey

This study uses computational modeling to show that seizure spread depends on the dynamotype, with specific patterns of brain activity at onset affecting recruitment likelihood and speed.

DOI 10.1371/journal.pcbi.1013975

humanelectronic health records

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NeuroscienceeLifePeer-reviewedJun 2, 2025

Otoacoustic emissions but not behavioral measurements predict cochlear-nerve frequency tuning in an avian vocal-communication specialist

Diana M Karosas, Leslie Gonzales, Yingxuan Wang…·Kenneth S. Henry

The paper compares SFOAE-based and behavioral measures of cochlear tuning in budgerigars, finding that SFOAEs accurately predict cochlear tuning while behavioral tuning shows unique patterns.

1 citation

non-human primateexperimental assay

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