Author

Sephira G. Ryman

University of New MexicoORCID 0000-0002-1758-3391Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Research Focus:benchmarking· 2 Research Focus:software / tool· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Assay:imaging· 1 Assay:multiome· 1

Frequent Co-Authors

Brian S. CaffoiD· 2 shared Carey E. PriebeiD· 2 shared Daniel S. MarguliesiD· 2 shared Disa MhembereiD· 2 shared Eric BridgefordiD· 2 shared Gregory KiariD· 2 shared Joshua T VogelsteiniD· 2 shared Michael Peter MilhamiD· 2 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Brian S. CaffoORCID

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3 papers

Recent·Most cited

Oscillating Hypercapnia Induces Neural Abundant Protein Efflux and Potential Depletion in Health and Chronic Traumatic Brain Injury

Andrew Mayer, Tracey V. Wick, Upasana Nathaniel, Sephira G. Ryman, Divyasree Sasi Kumar, Rebekah Mannix, Samuel Miller, Josef M. Ling, Timothy Bradley Meier, Kaitlyn Warren, Harm Jan van der Horn, Vadim S. Zotev, Jingshu Wu, Pawani Chauhan

This study shows that hypercapnia temporarily increases brain-to-blood protein clearance in TBI and healthy individuals, with effects moderated by brain atrophy.

Journal of Cerebral Blood Flow & Metabolism · May 28, 2026Peer-reviewedNeuroscience

A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis

Jaewon Chung, Ross Lawrence, Alex Loftus, Derek Pisner, Gregory Kiar, Eric Bridgeford, William Gray Roncal, Vikram Chandrashekhar, Disa Mhembere, Sephira G. Ryman, Xi‐Nian Zuo, Daniel S. Margulies, Richard Cameron Craddock, Carey E. Priebe, Rex Eugene Jung, , Joshua T Vogelstein

This paper introduces a low-resource pipeline for estimating connectomes from MRI data, demonstrating its reliability across diverse datasets without manual intervention.

bioRxiv · Nov 1, 2021 · PreprintBioinformatics

A High-Throughput Pipeline Identifies Robust Connectomes But Troublesome Variability

Gregory Kiar, Eric Bridgeford, William Gray Roncal, Vikram Chandrashekhar, Disa Mhembere, Sephira G. Ryman, Xi‐Nian Zuo, Daniel S. Margulies, Richard Cameron Craddock, Carey E. Priebe, Rex Eugene Jung, Vince D. Calhoun, Brian S. Caffo, Randal C. Burns, Michael Peter Milham, Joshua T Vogelstein

The paper develops a pipeline to estimate connectomes from neuroimaging data, showing high consistency within individuals but significant variability across studies and sites.

bioRxiv · Apr 24, 2018 · PreprintNeuroscience