Author

Christopher S Parker

University College LondonORCID 0000-0002-1616-2886Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Research Focus:spatial domain detection· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Hui Gary ZhangiD· 2 shared Neil P. OxtobyiD· 2 shared Alexandra L. YoungiD· 1 shared Alzheimer's Disease Neuroimaging Initiative· 1 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Catherine F. Slattery· 1 shared David Lee ThomasiD· 1 shared David M. CashiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersNeuroscience

Hui Gary ZhangORCID

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3 papers

Recent·Most cited

Parsimonious EBM: generalising the event-based model of disease progression for simultaneous events

Christopher S Parker, Neil P. Oxtoby, Alexandra L. Young, Alzheimer's Disease Neuroimaging Initiative, DC Alexander, Hui Gary Zhang

This paper introduces the parsimonious event-based model (P-EBM) to infer disease progression sequences with fewer stages than biomarkers, showing improved performance in Alzheimer's disease analysis.

NeuroImage · Mar 19, 2025Peer-reviewedNeuroscience

White matter microstructural abnormality precedes cortical volumetric decline in Alzheimer's disease: evidence from data-driven disease progression modelling

Christopher S Parker, Philip S.J. Weston, Hui Gary Zhang, Neil P. Oxtoby, the Alzheimer’s Disease Neuroimaging Initiative

This study uses data-driven modeling to show that white matter microstructural changes precede cortical volume loss in Alzheimer's disease, suggesting earlier detection through microstructural markers.

bioRxiv · Jul 12, 2022 · PreprintNeuroscience

Not all voxels are created equal: reducing estimation bias in regional NODDI metrics using tissue-weighted means

Christopher S Parker, Thomas D. Veale, Martina Bocchetta, Catherine F. Slattery, Ian B. Malone, David Lee Thomas, Jonathan M. Schott, David M. Cash, H Zhang, Alzheimer’s Disease Neuroimaging Initiative

This paper introduces a tissue-weighted mean method to reduce bias in NODDI metrics by accounting for CSF partial volume, showing it improves accuracy in ROI analysis for neurodegenerative disease studies.

NeuroImage · Nov 28, 2021Peer-reviewedNeuroscience