Author

Cody R. Marshall

Vanderbilt UniversityORCID 0009-0005-9639-0537Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1 Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Organism:human· 3 Assay:imaging· 3 Research Focus:spatial domain detection· 2 Assay:spatial transcriptomics· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Jeffrey M. SpragginsiD· 4 shared Lukasz G. MigasiD· 4 shared Matthew SchragiD· 4 shared Raf Van de PlasiD· 4 shared Claire F. ScottiD· 3 shared Léonore E. M. TidemaniD· 3 shared Madeline E. ColleyiD· 3 shared Felipe A. MoseriD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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4 shared papersNeuroscience

Jeffrey M. SpragginsORCID

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Author profile →

4 papers

Recent·Most cited

NeuroscienceActa Neuropathologica CommunicationsPeer-reviewedJul 18, 2026

Multimodal Molecular Mapping of the Vasculature in Human Cortex Reveals Lipid Markers of Cerebral Amyloid Angiopathy

Cody R. Marshall, Felipe A. Moser, Claire F. Scott…·Jeffrey M. Spraggins

The paper maps lipid microenvironments in human brain vasculature using multimodal imaging and identifies lipid markers associated with cerebral amyloid angiopathy.

DOI 10.1186/s40478-026-02361-4

humanspatial transcriptomics

𝕏 PostBluesky

Molecular BiologybioRxivPreprintJun 20, 2026

Elucidating Molecular Features of White Matter Hyperintensities in Alzheimer’s Disease through Multimodal Imaging and SHAP Analysis

Claire F. Scott, Cody R. Marshall, Lukasz G. Migas…·Jeffrey M. Spraggins

This study identifies region-specific lipid alterations in Alzheimer’s disease white matter hyperintensities using multimodal imaging and SHAP analysis.

DOI 10.64898/2026.06.18.733283

humanimaging

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BioinformaticsbioRxivPreprintOct 27, 2025

Spatial Dependence and Heterogeneity in Molecular Imaging: Moran Quadrant Maps Enable Advanced Spatial-Statistical Analysis

Léonore E. M. Tideman, Felipe A. Moser, Lukasz G. Migas…·Raf Van de Plas

The paper introduces Moran quadrant maps and workflows for spatial-statistical analysis of molecular imaging data, enabling scalable exploration of spatial dependence and heterogeneity.

1 citation

imagingstatistical model

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Systems BiologybioRxivPreprintSep 12, 2025

Integrative Spatial Omics for Systems-Level Mapping of Pathological Niches

Angela R.S. Kruse, Roy Lardenoije, Lukasz G. Migas…·Jeffrey M. Spraggins

This paper introduces a multimodal pipeline for spatiomolecular analysis of tissue samples, demonstrating its application in Alzheimer's disease and type 2 diabetes.

5 citations

humanspatial transcriptomics

𝕏 PostBluesky