Author

Xiaoke Luo

Washington University in St. LouisORCID 0009-0006-8028-3822Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:clustering· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Janine Diane BijsterboschiD· 3 shared Petra A. LenziniiD· 3 shared Ty O. EasleyiD· 3 shared Fyzeen AhmadiD· 2 shared Hailey ModiiD· 2 shared Kayla HannoniD· 2 shared Lyn StahliD· 2 shared Samuel Naranjo RinconiD· 2 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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3 shared papersNeuroscience

Janine Diane BijsterboschORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintDec 9, 2025

Profiles of Aging Based on Cognition, Affect, and Brain Reserve

Setthanan Jarukasemkit, Lyn Stahl, Karen M. Tam…·Janine Diane Bijsterbosch

The paper identifies aging profiles using cognitive, affective, and brain reserve measures from UK Biobank data, revealing distinct patterns of emotional wellbeing and cognitive decline.

DOI 10.64898/2025.12.04.692428

humanGWAS summary statistics

𝕏 PostBluesky

NeurosciencebioRxivPreprintJul 2, 2025

The neuroimaging correlates of depression established across six large-scale datasets

Kassandra Miyoko Hamilton, Xiaoke Luo, Ty O. Easley…·Janine Diane Bijsterbosch

This study identifies neuroimaging correlates of depression across six large-scale datasets, finding gray matter reductions in specific brain regions and unexpected results in subcortical and functional connectivity analyses.

3 citations

humanimaging

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NeuroscienceGigaSciencePeer-reviewedJan 1, 2025

Opaque Ontology: Neuroimaging Classification of ICD-10 Diagnostic Groups in the UK Biobank

Ty O. Easley, Xiaoke Luo, Kayla Hannon…·Janine Diane Bijsterbosch

The paper evaluates the accuracy of classifying ICD-10 diagnostic groups using neuroimaging and socio-demographic features from the UK Biobank, finding limited success compared to age classification.

2 citations

humanimaging

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