Author

Caroline Martin

Emory UniversityPrimary ORCID profile (0000-0002-8191-4968 · 3 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Caroline MartiniD3 papers · Broad Institute

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Catie E. ChangiD· 2 shared Haatef PourmotabbediD· 2 shared Kimberly Kundert-Obando· 2 shared Lucina Q. UddiniD· 2 shared Sarah E. GoodaleiD· 2 shared Shiyu WangiD· 2 shared Blaine Roberts· 1 shared Brenda D. MooreiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersNeuroscience

Catie E. ChangORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Syndecan-4 exerts canonical heparan sulfate-dependent and noncanonical heparan sulfate-independent functions that regulate Aβ amyloid homeostasis

Kyu Hwan Shim, Yong Ran, Danny Ryu, Brenda D. Moore, Yeeun Yook, Pooneh Amin, Xuefei Liu, Kazi Farhana Afroz, Caroline Martin, Mihir Beheray, Wangchen Tsering, Lei Liu, Madison E. Platt, Blaine Roberts, Nicholas T. Seyfried, , Todd Eliot Golde

This study shows that Syndecan-4 has both HS-dependent and HS-independent effects on Aβ amyloid homeostasis, reducing amyloid deposition in a mouse model.

bioRxiv · Aug 25, 2026 · PreprintNeuroscience

Arousal state alters brain network switching and moderates cognitive task performance

Kimberly Kundert-Obando, Haatef Pourmotabbed, Kamalpreet Kaur, Shiyu Wang, Juan Gómez Lagándara, Sarah E. Goodale, Caroline Martin, Victoria L. Morgan, Dario J. Englot, Lucina Q. Uddin, Mikail Rubinov, Catie E. Chang

This study examines how arousal states affect brain network switching rates and their relationship with cognitive task performance using fMRI, EEG, and eye tracking.

bioRxiv · Mar 12, 2026 · PreprintNeuroscience

Distributed fMRI patterns coupled to low-frequency cardiorespiratory dynamics provide markers of aging

Shiyu Wang, Richard W. Song, Laurent M. Lochard, Jiawen Fan, Yamin Li, Kimberly Kundert-Obando, Caroline Martin, Sarah E. Goodale, Haatef Pourmotabbed, J. Mason Harding, T.M.Y. Lee, Chang Li, Shengchao Zhang, Roza G. Bayrak, Taylor Bolt, , Catie E. Chang

The paper predicts chronological age from whole-brain fMRI-physiology coupling patterns, showing brain regions involved in autonomic regulation are key predictors.

Journal of Neuroscience · Jan 19, 2026Peer-reviewedNeuroscience